Call for Abstracts: 2019 Frontiers in Service, Singapore, July 18-21 (Deadline Nov 30)

Frontiers in Service 2019

July 18 – 21, 2019

National University of Singapore

Deadline for submission is Nov 30 – https://www.frontiers2019.com/cfa/submit_abstract/

 

Welcome to Singapore! – https://www.frontiers2019.com/

 

Just in from Jochen Wirtz (2019 Frontiers Chair) who wrote:

In 2019, the Frontiers Conference will move to Asia and convene in the sunny island state of Singapore. This will be the first time that one of the world’s leading annual conference on service research is held in Singapore.

 

Themed “Sharing Economy, Platforms and New Technologies”, Frontiers in Service Conference 2019 will explore a wide variety of service topics, including service marketing, service management, service operations, service strategy, service design, service engineering, service science, service IT, and AI and robotics as related to service.

 

So mark your calendar, come join us at the conference and get the chance to explore this constantly evolving country, with people who are passionate about creating new possibilities!

 

Abstracts Due

30 Nov 2018

Submit Abstract

ISSIP Innovators Groups (IIG)

ISSIP Innovators Groups (IIG) could be a good way for local ISSIP volunteers to get together to learn about and put into practice new service innovation methods and resources.

IIG’s are:
– run by local volunteers
– regular-ish events aimed at learning together
– oriented toward service innovation professionals growth
– open and free to all who adopt the ISSIP code of conduct

IIG’s are not:
– about buying/selling things
– raising funds for projects
– closed meetings

For examples, ISSIP members who listen to weekly speaker series, or the recordings of those talks, might do so as a group and then have local discussions – see ISSIP CSIG weekly speaker series, there are also weekly series on Service Innovation Frameworks and recordings related to Service Innovation Education and Research available.

Five main objectives of ISSIP are service innovation-related:  (1) professional development, (2) education, (2) research, (2) practice, and (5) policy understanding.

Some ISSIP resources that an ISSIP Innovators Group (IIG) might use:
The ISSIP weekly calls – SIF and CSIG and Ed&Res (when it was active) – have created a large set of educational resources – but packaging them in a way that a volunteer could run a meaningful ISSIP Service-Innovators Group meeting would take some work.  ISSIP BEP book collection is also a significant and growing set of educational resources:

T-Shaped Professionals: Adaptive Innovators (Moghaddam, Demirkan, Spohrer) is just released:

The Interconnected Individual: Seizing Opportunity in the Era of AI, Platforms, Apps, and Global Exchanges (Hasting, Saperstein) – is another good one for local ISSIP Service-Innovators Group discussion – and relates to ISSIP Mission of service innovation for our interconnected world:

Modeling Service Systems (Badinelli) – is one of my all time favorites – it really stands up to the test of time.

Note that most books published in the ISSIP BEP series have associated open access presentations by the authors and/or blog post summaries.  For example, here is the blog post summary for “The Interconnected Individual.”

URLS:
ISSIP (International Society of Service Innovation Professionals): http://issip.org
CSIG (Cognitive Systems Institute Group): http://cognitive-science.info/community/weekly-update/
Modeling Service Systems: https://www.amazon.com/Modeling-Service-Systems-Ralph-Badinelli-ebook/dp/B0184MQ61W/
Interconnected Individual: https://www.amazon.com/Interconnected-Individual-Opportunity-Platforms-Exchanges-ebook/dp/B07DM77NQ1/
Blog post summary of Interconnected Individual: https://service-science.info/archives/4954
T-Shaped Professionals: https://www.amazon.com/T-Shaped-Professionals-Innovators-Yassi-Moghaddam-ebook/dp/B07GTBD5K6

Inspiration was these two groups that Susan Malaika pointed me to:
GDG – Google Developer Groups run by local passionate volunteers – https://developers.google.com/programs/community/gdg/
Women Techmakers – series of global initiatives – https://www.womentechmakers.com/

ISSIP Code of Conduct
1. Respect others
2. Treat people fairly
3. Avoid injuring others, their property, reputation or employment
4. Refrain from retaliation
5. Comply with applicable laws, policies and procedures
(modeled on IEEE Code of Conduct 2014) – https://www.ieee.org/content/dam/ieee-org/ieee/web/org/about/ieee_code_of_conduct.pdf

Send email to info@issip.org to learn more and get involved.

Summary: The Interconnected Individual, by Hastings and Saperstein

Hastings H & Saperstein J (2018) The Interconnected Individual: Seizing Opportunity in the Era of AI, Platforms, Apps, and Global Exchanges. Business Expert Press.

The Interconnected Individual:
Seizing Opportunity in the Era of AI, Platforms, Apps, and Global Exchanges
Hunter Hastings Jeff Saperstein

This book is one in the collection called: Service Systems and Innovations in Business and Society Collection,
Jim Spohrer and Haluk Demirkan, Editors

Don’t Panic! Read This Book

Some individuals (including a lot of parents) are worried about the future of work for the next generation. Technology innovation is reshaping the world of work, and breaking the old social contracts for workers previously based on institutions of higher education, high growth businesses, and government as stimulus… so what is an individual to do?  In short, don’t panic, read this book; and then put its many lessons into practice. Guided by empathy, the interconnected individual is a solution seeker, a network builder, and above all an optimist – who see opportunities where others see uncertainty.  The challenge is well described in the advanced praise for this book… two of twelve, shared below:

“Technology innovation is reshaping the world of work in profound and unexpected ways. People from every walk of life are anxious about their vocational future and economic security. Firms must navigate new waters in building their future workforces and developing leadership corps while also reimagining the physical and digital relationships with the people who make their business tick. Schools, colleges, and training institutions are seeing their markets disrupted by new models of learning that are geared to the constantly shrinking half-life of knowledge and know-how. And local, state, and national governments are facing intense pressure to refocus investments and policies on their human capital stock in order to remain competitively relevant in the global economy. The world of work is undergoing massive shifts that not only redistribute opportunities among people and machines but also bring into the fold billions of people who traditionally were left behind. The Interconnected Individual is an invaluable compass for anyone seeking to understand these new forces, navigate these novel challenges, and reposition themselves for the opportunities of the future.”
—Dr. Guy Halfteck, Founder and CEO, Knack Corporation

“The world of work has changed dramatically over the last 30 years with PCs replacing secretaries and the concept of a ‘job for life’ all but evaporating. Technologies like artificial intelligence remind us that we are currently at the beginning of this journey and the one thing we know about the future of work is that it is unpredictable. So how do we cope with the new realities? In their new book The Interconnected Individual, Jeff Saperstein and Hunter Hastings offer a unique approach based on individual self-reliance to chart a successful path through an ever-changing world. The authors cite a rich body of examples drawn from their wealth of experience in industry and academia, but this book offers more than just a conceptual framework. This is a hands- on text with many exercises that will help you cultivate an entrepreneurial mindset and build the skills you need in the modern workplace.”
—Daryl Pereira, IBM Creative Content Director, Watson & Cloud Platform

Contents
Preface …………………………………………………………………………………………………………………………………….xi
Acknowledgment…………………………………………………………………………………………………………………….xiii
Introduction ……………………………………………………………………………………………………………………………..xv
Chapter 1 The Future of Work Will Be the Sum of Our Individual Life Choices ……………………………….1
Chapter 2 Prepare Yourself for Success in the Interconnected Era………………………………………………..13
Chapter 3 The Technologies of Spontaneous Order: How Interconnected Individuals Are Augmented.25
Chapter 4 The Entrepreneur Economy ………………………………………………………………………………………37
Chapter 5 How to Navigate Your Career…………………………………………………………………………………….59
Chapter 6 The Democratization of Finance Spurs Innovation………………………………………………………..75
Chapter 7 Interconnecting, Intelligence, and Inter-Being …………………………………………………………….95
Chapter 8 Interconnected Learning: Technology Closes The Skills Gap…………………………………………111
Chapter 9 Interconnected Clusters Will Accelerate Global Integration for Opportunity…………………….119
Chapter 10 A Higher Quality of Life in a Transformed Society………………………………………………………131
Bibliography ………………………………………………………………………………………………………………………………139
Books, Case Studies, and Articles Co-authored by Hunter Hastings and Jeff Saperstein…………………144
About the Authors…………………………………………………………………………………………………………………………145
Index …………………………………………………………………………………………………………………………………………147

Preface

“The Interconnected Individual is significantly different from our past work.  … These prior works were written for business executives, mostly in large organizations, who were aiming to increase growth … The Interconnected Individual is directed to a different audience in a different technological era and answers a different challenge … We all face a great question …  “It isn’t technology that puts people out of work; it’s the decisions we make about how to apply it.”1  1 T. O’Reilly. 2017. What’s the Future and Why It’s Up to Us (New York, NY: Harper Collins Publishers), p. 371.”

Acknowledgements

“Mariela A. Gonzalez assisted Jeff and Hunter as editor, proofreader, researcher, and compiler. Without her excellent and painstaking work, this project would never have been completed.”

Introduction

Jeff: “Most of them, like me, had come from lower middle-class homes, where their parents worked in jobs, not careers, and were familiar with only a few career paths that they themselves experi- enced in their community.”

Hunter: “I was born in England, in the midst of its socialist experiment. In a class- riven society; my parents were tagged as “working class,” which automati- cally limited access to “The Inner Ring.””

“While many of our students went on to terrific positions in other companies, the experience of this hiring bias seared our determination to devote our work together to fostering the democratization of opportunity for more than the chosen connected.”

“This book is intended to help those who seek to do work that matters, to start a company, to grow a business, to pursue an individual career, or to innovate with others. ”

Especially see Key Themes and Who is an Entrepreneur? in the Introduction.

Chapter 1 The Future of Work Will Be the Sum of Our Individual Life Choices

“We seem to be at a pivotal point in history. Will there be jobs and careers for those who want them?”

“The most important question is not whether AI will displace and replace jobs, but will there be a societal and individual reorientation to use AI in ways that promote meaningful work and service to improve social impact and quality of life? The technology is neutral; our focus must be on how we will change to apply it for ourselves and for each other.”

“The entrepreneur—the bearer of all the uncertainty—is the driver of this market. The entrepreneur receives and interprets the signals from consumers and translates them into new solutions and new value. AI helps, but humans decide.”

“We all must be entrepreneurs. In this context, the term “entrepreneur” takes on a new meaning. It is the attitude and method of attempting to identify future consumer needs and future opportunities…”

“As empathic service-oriented individuals, we will find we have universal access to resources that help us expand our scope and raise our game.”

“In this book, we focus on how the individual economy might emerge and develop and how you prepare and resource yourself for autonomy and mastery and we aim to give insight into the key drivers to help you harness them for your own purposes.”

Chapter 2 Prepare Yourself for Success in the Interconnected Era

“It’s useful to reimagine our personal success in the emergent new era. We offer a framework for your personal adaptive thinking and a model for your individual behavior.”

“Up-skilling is an ongoing new imperative for action in the socio-technical economy.”

“Figure 2.1 Foundational cognitive and metacognitive practices (KnowledgeWorks)2”

“Empathy is the critical skill for success in the world of AI and human augmentation”

“Figure 2.2 The Interconnected Individual”

“We already can see that the smartphone has become one of the prime enablers of freelance, independent work activity. Today, 34 percent of the U.S. workforce are freelancers, according to a recent survey from the Freelancer’s Union.”

Chapter 3 The Technologies of Spontaneous Order: How Interconnected Individuals Are Augmented

“Figure 3.1 Technologies of spontaneous order”

“In the first category of starting conditions are those that augment the capabilities of the individual via great access to knowledge and machine learning/machine intelligence.”

“The second category is disintermediation—making service systems bet- ter, faster, and at a lower cost by cutting out middlemen, back rooms, and intermediate process steps and replacing them with peer-to-peer exchange. Blockchain is the leading emergent technology of disinter- mediation …”

“In the third category are global market exchange platforms, where mul- tiple parties on multiple sides of a platform can exchange, collaborate, assemble teams and disassemble teams, and create short-term or long-term single outcome-focused project collaborations. ”

“Entrepreneurs Co-create and Co-construct Based on Networks”

Chapter 4 The Entrepreneur Economy

“The new economy is driven by people who play two important roles: con- sumers and entrepreneurs. ”

“The future is uncertain. Entrepreneurs bear that uncertainty, and attempt to resolve it.”

“The Knack app provides free self-assessment to get you started and provides insights into your attributes and potential as an entrepreneur.”

“We illustrate how these principles and practices are enacted by profiling two entrepreneurs who have taken different paths in their development and offerings, but who show how to make individual dreams, based on a value system of service to others, become realities.”

Chapter 5 How to Navigate Your Career

“Too many of us go from job to job, and fall into a career that seems “to have happened to us.” ”

“Let’s begin with a simple question. Who influences, mentors, and inspires you? Is it an author, teacher, family member, boss, peer? What did you learn or what impressed you about them? If you had never been inspired by anyone you can think of, then watch Randy Pausch: Achieving Your Childhood Dreams3 on YouTube. ”

“What discipline do you master? You should master what the marketplace recognizes and values. Develop a T-shaped profile to see how your breadth of experience and depth of expertise can be charted …”

“Learn to Compete to Collaborate so You Are a Valued Team Member”

“Fourteen Hot New Skills”

“Please check out Jeff Saperstein’s video for a brief explanation of career navigation.
www.youtube.com/watch?v=ZXaoZU371fc”

Chapter 6 The Democratization of Finance Spurs Innovation

“Table 6.1 How financial services as software will change institutions”

“We use the term democratization to describe the evolution of financial services in these directions; the blockchain revolution will inexorably shift the power to the individual entrepreneur and investor over the institutional behemoth. … We talked to three innovators to map out this evolution. …”

Chapter 7 Interconnecting, Intelligence, and Inter-Being

“A values/purpose-driven life vision aligns you as an individual with what matters to you in the pursuit of collaboration (your network) and organi- zations where you can fit and add value to achieve a meaningful, coherent life. With your values in mind, you can approach the adventure of creat- ing your network.”

“IBM Cognitive Institute director, Jim Spohrer, states that cognitive mediators redefine several types of relationships: … Our relations with ourselves—our cognitive assistants may know us better than we know ourselves, because they have more informa- tion and can process it more intelligently. This will be humbling to us all eventually, because we think we know ourselves best, and for some things we won’t know ourselves best.”

“One example of cognitive assistance to help you navigate the new era is the LinkedIn Economic Graph.  … LinkedIn conceived the Economic Graph as a digital map of the global economy that strives to include every member of the global work- force and their skills, all open jobs, all employers, and all educational institutions.”

“Platforms like LinkedIn and apps like Knack are the key to interconnect- ing individuals.”

Chapter 8 Interconnected Learning: Technology Closes The Skills Gap

“Lifelong learning of new skills and working with augmentation will be necessary, but not sufficient. Your learning plan should include both hard skills (like technologies, project management) and soft skills (listening, critiquing, facilitating, coaching, leading).  Empathy is the Super-Tool for humans in the cognitive computing age.”

Empathy and admiration – to help find the role model(s) you look up to and aspire to be more like in your own life.  Family is learning from others.  Culture is learning from others.   To be the best, learn from the rest.

“To get a more in-depth understanding of the future of up-skilling, we spoke with Wayne Skipper about certification and badging.”

Chapter 9 Interconnected Clusters Will Accelerate Global Integration for Opportunity

“To gain perspective on regional cluster interconnectivity, we spoke with two professionals, who each are engaged in understanding this interconnectivity and creating opportunity for regional participation.”

“Interconnected regional clusters, serviced through platforms and apps on the World Wide Web, have fundamentally transformed the way we conceive of the world. What is necessary for the transformation in practice is a transformation of mind-set that reduces friction, increases transparency, and accelerates the sharing of information.”

Chapter 10 A Higher Quality of Life in a Transformed Society

“The present era of AI, platforms, apps, and global exchanges is undoubtedly transformative, enabling people to innovate, connect, and unleash their creativity and empowerment for productive endeavors. When, at some point in the future, we all look back at the dawn of the age of AI, globally interconnected platforms, and cognitive computing, how will we judge that it changed societal and individual quality of life?”

“We already live in a service economy. Service is the application of knowledge for the benefit of others. The empathic entrepreneur is constantly searching for ways to better help consumers and customers.”

“Miniaturization: From large corporations, factories, mass-produced branded products and services, we are now headed toward a miniaturized, customized, co-developed future. Factories, farms, and energy flows are miniaturizing. ”

“The Individual Bears Unique Responsibility in the Individual Economy: We must be careful not to be utopian. The benefits we describe for the individual economy enabled by the advances of AI, interconnectivity, and miniaturization will undoubtedly come with risks and challenges.”

Bibliography

About 60 references – really useful.

Books, Case Studies, and Articles Co-authored by Hunter Hastings and Jeff Saperstein

“• The Interconnected Individual: Seizing Opportunity in the Era of Platforms, Apps, and Global Exchanges, Business Expert Press, 2018
• Service Thinking: The Seven Principles to Discover Innovative Opportunities, Business Expert Press, 2014
• A Practice-Driven Service Framework For Value Creation, IEEE CBI Conference, Vienna, 2013
• Bust the Silos: Opening Your Organization for Growth, Amazon Create Space, 2010
• Improve Your Marketing to Grow Your Business, Prentice Hall, Wharton Business Press, 2007
• The New Marketing Mission, Association of National Advertisers,2004
• How Social Media Can Be Used to Dialogue with the Customer, Richard Ivey Business School Publications, 2010
• HowCiscoCreatesNewValueviaGlobalCustomerService,ThunderbirdInternational Business Review, Sept/Oct 2010”

About the Authors

“Hunter Hastings is a partner in Bialla Venture Partners venture capital fund, an angel investor, and mentor to entrepreneurs. He is executive director of the Center for Individualism, which advocates for individual entrepreneurship and self-reliance, and a Member of Mises Institute.”

“Jeff Saperstein’s professional background includes careers in advertis- ing, nonprofit marketing and fund-raising, university teaching, writing, and coaching. He is a career transition coach, university lecturer, and author of business case studies and books. Jeff’s mission is to help others be successful by aligning their own values with their work, up-skilling their proficiencies to improve their market value and career options, and encouraging them to take calculated risks for their own happiness.”

 

URL: https://www.amazon.com/Interconnected-Individual-Opportunity-Platforms-Exchanges-ebook/dp/B07DM77NQ1

AI Progress = Leaderboards + Compute + Data + Algorithms

AI Progress = Leaderboards + Compute + Data + Algorithms

Companion Presentation: AI Progress = Leaderboards Compute Data Algorithms 20180817 v3
Paper: Rouse Spohrer Automating Versus Augmenting Intelligence 12-21-17 copy
Also see: https://www.slideshare.net/spohrer/ai-progress-leaderboards-compute-data-algorithms-20180817-v3

Opening quote:

Michael Witbrock, a manager of Cognitive Systems at IBM Research, says about two-thirds of the advances in AI over the past 10 years have come from increases in computer processing power, much of that from the use of graphics processing units (GPUs). About 20% of the gain came from bigger datasets, and 10% from better algorithms, he estimates. That’s changing, he says; “Advances in the fundamental algorithms for learning are now the main driver of progress.”

From: Anthes (2017) Artificial Intelligence Poised to Ride a New Wave. Comm of the ACM, July 60(7):19-21.

 

AI progress can be measured by tracking scores on AI leaderboards

What is an AI leaderboard challenge? A challenge typically provides (1) input: a labeled set of data, that is used to create (2) output: an AI model that is scored and ranked, and placed on the leaderboard website for the world to see the results.  The team with the best scoring AI model is ranked #1, and they are celebrated, until the next team of AI researchers/data scientists/software developers comes along and knocks them out of first place.  The result of this competition is measurable AI progress.  An example of a leaderboard is SQuAD (Stanford Question Answering Dataset).  As the presentation above shows, there are a wide range of AI leaderboard challenges that span tasks for which AI is already at super-human performance levels to tasks where AI performance is barely better than random guessing.  Over time, the set of tasks that AI systems can perform at super-human level performance, about human-level performance (par-human), and less than human-level performances changes.   The scores of the #1 ranked teams on leaderboards change regularly because of thee three main factors: more/better compute power, more/better labeled data, and more/better algorithm building-blocks for competitors to use.

AI progress depends on more compute power

Moore’s law has been the primary way to describe the trend in computing power growth for about sixty years.  For the last sixty years, see the diagrams in the presentation and paper above, Moore’s law could be summarized (approximately) as the cost of computing decreases by a factor of 1000x every two decades, or the amount of computing power that can be bought for $1K increases by 1000x every two decades.  For example, a “terascale” computer costs about $1K today (2018), and a terascale is a million million instructions per second.  The human brain is estimated at about an “exascale” which is a billion billion instructions per second (some estimates on brain as computer are as low as a “petascale”, see Scientific American).  So in about twenty years, one can estimate an exascale computer will cost about $1M (2038).   Of course, no one can predict the future, so while experts expect computing costs will continue to drop, and computers will be able to perform more instructions per second, it is still a bit risky to try to predict when one might be able to buy a computer, with the computing power equivalent of one human brain (estimated at an exascale).  Nevertheless, in the presentation and paper, we estimate that around 2060, an exascale of computing may cost $1K.  Still, no one can predict the future, and one danger of AI predictions/hype is contributing to AI bubbles.  PowerAI is now used in the fastest super-computer in the world that IBM helped build at USA Oakridge National Labs, called SUMMIT = 200 petaflops = 1/5 human brain.

AI progress depends on more labeled data

Labeled data can be thought of as thousands, millions, billions, or even trillions of input-output pairs that allow AI models to be built that can produce the correct output when provided an input.  For example, ImageNET includes over ten million labeled images.  Mozilla’s Open Voice project is creating large amounts of speech data sets. The business of labeling data is growing (see FigureEight).  It is also possible to generate useful labeled data sets automatically using a number of technques (see GANs).

AI progress depends on more algorithm building blocks

Algorithms have progressed from hand-crafted instructions to learning procedures to composition of AI models.  For example, Kaggle (acquired by Google) is probably the largest set of leaderboard challenges in the world, and Kaggle Masters (and Grandmasters) – the people who win the most challenges – are expert at combining a set of lower performing models into a composite new model that scores better than any of the single models alone (see ensembling).  So Kaggle Masters view earlier models as building blocks, or instructions that can be combined with learning algorithms to create new better performing AI models.   The result is progress in algorithms – more and better algorithm building blocks over time.   The algorithm building blocks can be found in so called “zoos” and model asset exchanges (see IBM MAX and CODAIT.org website, as well as UIUC ML Model Scope website, or ventures like Algorithmia).  Another type of competition is creating a particular type of building block much faster than before, that is finding techniques to build models faster and faster (see fast.ai result).  Some see the beginnings of a Software 2.0 stack, as the progression of (a) hand-crafted instructions to (b) labeled data and learning algorithms to (c) composition of AI models unfolds.

AI progress is advancing to single AI models that can do multiple tasks/leaderboards

As AI progress continues, a relatively new phenomenon is starting to happen more and more.  AI Researchers are creating a single model that can perform multiple tasks (see Salesforce’s Einstein Natural Language Decathlon result and Stanford-Berkeley’s vision taskonomy result).   This means that someday a single AI model may be ranked #1 on dozens of AI leaderboard challenges.  This phenomena marks the transition from narrow intelligence to broad intelligence for AI models/systems.  Think about all the different tasks that a child must learn to do well before they can become an adult.  The transition from child to adult in today’s world typically takes about 10 million minutes of experience (18 years).  Also think of all the different types of models of tasks, models of the physical world, models of themselves and others, and certainly models of the social world, cultures, norms, institutions, and laws.  A mature person has a brain and mind full of integrated models of the complex physical and social world.  Furthermore, for adults, the transition from novice to expert in a wide range of work occupations takes about 2 million minutes of experience (4 years).   In the future, it may be possible for AI models/systems to perform not only all the tasks of a single person, but also of fictitious people such as organizations or even whole nations.  By some estimates a modern national economy depends on about one thousand different types of occupations to function (see O*NET, the USA occupation network), so the USA economy of roughly 350 million population, with about 100 million workers (algorithms), represents almost a billion billion billion instructions per second (compute), with about a combined billion billion minutes of experience (data), and this system is on the “leaderboard” that compares nations by economic output.  Thomas Friedman in his book “Thank You for Being Late” mentions that what use to take the combined resources of a nation, can now be done by a company, and someday may be doable by individuals using advanced technologies – for example, space flight to launch satellites or even the production of nuclear weapons.  It is for this reason, rapidly growing technological capabilities, that the resilience of societal systems, which includes the ability to rapidly rebuild from scratch after a natural or human-made disaster, becomes so important (see the Call For Code).

Concluding Remarks

AI progress can be measured by monitoring a portfolio of AI leaderboard challenges (see Electronic Frontiers Foundations AI Progress Measurement website).  The three main drivers of AI advances/progress include: (a) compute power, (b) labeled data, and (c) algorithm building blocks (see CACM article and initial quote above).  This short blog post includes links to more materials – including a presentation and a paper that suggest that AI will be “solved” in a narrow sense by 2040 and in a broader sense by 2060.  “Solved” relates to the range of tasks a single AI model can accomplish at adult human-level performance, as well as expert occupation level performance.  Solving AI will increase the need to improve the resilience of service systems (smarter and wiser) from both natural and human-made disasters.

 

 

 

Submit nominations for ISSIP VP 2019 and President 2020

Outstanding leadership opportunity:
http://www.issip.org/call-for-nomination-issip-2019-vice-president/

Self-nominations are welcome.  Materials should be sent to nominations@issip.org.

Please share with colleagues – ISSIP VP 2019 becomes ISSIP President 2020.

Time requirements for this volunteer/service role:
ISSIP VP 2019 takes about 1 hour a week, with 1 or 2 full day events in 2019.
ISSIP President 2020 takes about 2 hours a week, with 2 or 4 full day events in 2020.
(full day events typically aligned with ISSIP-sponsored conferences and discovery summits)

ISSIP Professional Association

 

ISSIP Presidents (Elected and served as VP in previous year)
2019 Heather Yurko (Cisco)
2018 Rama Akkiraju (IBM) – current president – also named Forbes Top 20 women leading AI globally
2017 Ralph Badinelli (Va Tech)
2016 Monique Morrow (Cisco)
2015 Jeff Welser (IBM)
2014 Charles Bess (HP)
2013 Ammar Rayes (Cisco)
See – http://www.issip.org/past-presidents/

ISSIP Awards
Excellence in Service Innovation Award(s)
HICSS Best Paper Award(s)
AHFE HSSE Best Paper Award(s)
JSR Best Paper Award (awarded at Frontiers in Service)
Naples Forum Best Paper Award(s) – new 2019

ISSIP-Sponsored Best Paper Awards at Conferences
Austin  2018 – Frontiers in Service, Journal of Service Research (JSR): http://frontiers2018.com/
Hawaii 2019 – HICSS: http://hicss.org
Orlando 2018/DC 2020 – AHFE HSSE: http://ahfe-hsse.org
Italy 2019/2021 – Naples Forum: http://www.naplesforumonservice.it/public/index.php

Get Community Recognition and Access to Resources

ISSIP Volunteer Opportunities – get community recognition during quarterly Board of Directors calls!

Handbook of Service Science, Volume II is coming out from Springer later this year.

ISSIP Business Expert Press Book Series on Service System Innovations in Business and Society

ISSIP AI Open Data Sets: http://www.issip.org/open-data-sets/

ISSIP is the International Society of Service Innovation Professionals – http://issip.org

ISSIP Ambassadors to sister Professional Associations as well as Global Research & Innovation Centers

ISSIP Special Interest Groups (CSIG)

Join an ISSIP SIG and/or join a Weekly Speaker Series

ISSIP-CSIG Weekly Speaker Series on AI/Cognitive Systems

ISSIP Weekly Speaker Series (WSS), Communities Of Interest (COI), Special Interest Groups (SIG), Regional Chapters Organizations (RCO) are the easiest way to get involved and meet some of the community members.

For example, for those interested in Artificial Intelligence and Service Innovation, consider the Cognitive Systems Institute Group (CSIG), which is a COI with a WSS – see previously recorded talks or listen in on next weeks tallk by going to the CSIG Events website and following the instructions (scroll down to see earlier talks).

Service Science and Open Tech AI

The relationship between service science and open tech AI is in part the concept of “trust” in value co-creation interactions.

Cognitive Systems and Service Systems

Our children and our pets are cognitive systems, but beyond cognitive systems, service systems have more.  Service systems have rights and responsibility in society, maintained by trusted institutions.  Legally speaking, all service systems are a form of cognitive system.  Even nations, cities, businesses are service systems/cognitive systems, based on distributed intelligence.  Legally speaking, people, businesses, cities, states, and nations are service systems, because their cognitive systems understand their rights and responsibilities.

Cognitive Systems and Service Systems

Sustaining a service system requires effort, and trust in institutions that protect the rights and responsibilities.  A deeper understanding of institutions can be found in the work of Eleanor Ostrom, and her work is relevant to open source AI technologies communities – as well as other common pool resource arrangements where effort is necessary for sustainability.   For example, see:

Brown, TC (2018) A framework for thinking about Open Source Sustainability? URL: http://ivory.idyll.org/blog/2018-oss-framework-cpr.html

During this conversation, we realized the answer: effort. The common pool resource in open online projects is effort. When a contributor to a project adds a feature, what are they doing? Applying effort. When a contributor files a bug report? They’re applying effort. When they file a good bug report? More effort. When they write documentation? When they test a feature? When they suggest a new feature? They’re applying effort, all of it. But it goes deeper than that. When you bring a new contributor into a project, you’re growing the available pool of effort. When you engage a new investor in supplying funding for an open source project, often that funding goes to increasing the amount of dedicated effort that is being applied to the project. Of course, not all contributions are positive in their effect on effort, as I wrote about here. Some contributions (new feature proposals, or bad bug reports) cost the project more net effort than they bring. Significant feature additions that don’t come with contributions to the underlying maintenance of the project can be very costly to the core project maintainers, if only in terms of reviewing and rejecting. And underpinning all of this is the low susurration of maintenance needs: as I outline above, maintenance needs act as a net drag on project effort.

ISSIP.org is like an open source community, and ISSIP.org’s sustainability depends on the volunteer work of its members.

Thanks, -Jim

Jim Spohrer, PhD
Director, Cognitive Opentech Group (COG)
IBM Research – Almaden, 650 Harry Road San Jose, CA 95120
(o) 408-927-1928<spohrer@us.ibm.com>
(m) 408-829-3112<spohrer@gmail.com>
Innovation Champion: https://service-science.info/archives/2233

—– Forwarded by Jim Spohrer/Almaden/IBM on 08/09/2018 01:03 PM —–

From:    “ISSIP” <Elections@issip.org>
To:    <spohrer@us.ibm.com>
Date:    08/09/2018 11:31 AM
Subject:    !!Call for Nomination!! – ISSIP 2019 Vice President Candidate
Sent by:    “ISSIP” <Elections=issip.org@mail125.sea31.mcsv.net>

Call for Nomination:  Vice President, ISSIP
Nomination Deadline: August  26, 2018, 11:59 pm
Start Date: Jan 1, 2019
Term:  One year as VP, followed by one year as President

Consistent with ISSIP Bylaws and Policies, ISSIP Nominating Committee is seeking input from the ISSIP members to nominate candidates to serve as the Vice President of ISSIP in 2019. All members of ISSIP are invited to participate in this process.

Qualifications for this position include:
Demonstrated track record in ISSIP or synergistic professional associations with potential for significant future contributions
Having served in senior leadership, research or academic positions with significant contributions in service practice, science, management, engineering, design, marketing, or innovation, etc.
Passionate about the intersection of advanced digital technologies (Social, Mobile, Big Data, Cloud, Analytics,  AI, IoT, 3D printing, AR/VR, etc.) and Service Innovation
Deep appreciation of the impact of Incentives, Public-Policy on Human-Center Service Systems
Systems thinking, design thinking, service thinking

This position is highly visible with the opportunity to work directly with ISSIP leadership and members, which include senior industry and academic leaders, entrepreneurs, students, and other future leaders.  The position requires ~ 1 hours/week as VP in 2019 and about double that as President in 2020.

Responsibilities include:
Working with ISSIP leadership team and the ISSIP Board of Directors to support strategic and tactical goals, including ISSIP events,  SIGs, Chapters, operations and finance
Promote ISSIP globally by representing ISSIP in own institution or at other events globally
Help recruit ISSIP individual and institutional members.
Help enhance member engagement, and recruit volunteers.
Lead by example to bring out the best in ISSIP volunteers, and help recruit new institutional and individual members to ISSIP

The role provides well-qualified individuals a significant potential to advance Service Innovation globally and provides a unique career development opportunity.  Please submit nominations by August 26, 2018, 11:59 pm. Nominating statements should consist of a summary of the nominee’s qualifications and experience. Self-nominations are welcome.  Materials should be sent to nominations@issip.org.

Thank you!
ISSIP Nominating Committee
Members of the Nominating Committee: Ralph Badinelli  (ISSIP Past President, Committee Chair), Ammar Rayes (Cisco), Jim Spohrer (IBM)

Summary emails addresses:

send questions to info@issip.org
send nominations to nominations@issip.org

Summary of URLs:

Call for Nominations: http://www.issip.org/call-for-nomination-issip-2019-vice-president
Past Presidents: http://www.issip.org/past-presidents/
ISSIP Annual Excellence in Service Innovation Award: http://www.issip.org/recognitions/excellence-in-service-innovation-award/
ISSIP Conference and Best Paper Sponsorships:
Hawaii – Maui HICSS: http://hicss.org
Orlando AHFE HSSE: http://ahfe-hsse.org
Austin Frontiers JSR: http://frontiers2018.com/
Naples Forum: http://www.naplesforumonservice.it/public/index.php
ISSIP Business Expert Press Book Series: https://www.businessexpertpress.com/product-category/service-systems-and-innovations-in-business-and-society/
ISSIP Ambassador to Professional Associations, etc.: http://www.issip.org/ambassadors/
ISSIP Volunteer Opportunities: http://staging4.issip.org/category/call-for-volunteers/
ISSIP AI Open Data Sets: http://www.issip.org/open-data-sets/
ISSIP = International Society of Service Innovation Professionals – http://issip.org
ISSIP Board calls:  http://www.issip.org/2401-2/

Copyright © 2018 ISSIP, All rights reserved.

Our mailing address is:
ISSIP
3561 Homestead Road, Santa Clara, CA
Santa Clara, CA 95051

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Why social capital and human capital matter

“The best way to predict the future is to inspire the next generation to build it better.”
– Jim Spohrer (one of my many mentors, Alan Kay, at Apple, often said, “The best way to invent the future is to build it.” So I tweaked Alan’s words a bit.)

Why social capital/human capital matters….

Rotman D (2014) Technology and Inequality: The disparity between the rich and everyone else is larger than ever in the United States and increasing in much of Europe. Why?  Technology Review On Line, October 21, 2014, URL: https://www.technologyreview.com/s/531726/technology-and-inequality/ 

“As Piketty points out, it is a radical departure from how we have thought about progress. Since the 1950s, economics has been dominated by the idea—notably formulated by Simon Kuznets, a Harvard economist and Nobel laureate—that inequality diminishes as countries become more technologically developed and more people are able to take advantage of the resulting opportunities. Many of us suppose that our talents, skills, training, and acumen will allow us to prosper; it is what economists like to call “human capital.” But the belief that technological progress will lead to “the triumph of human capital over financial capital and real estate, capable managers over fat cat stockholders, and skill over nepotism” is, writes Piketty, “largely illusory.”” 

We need to change this…

Underline above is mine. Opinion: we need to change this. There are between 20M and 30M developers/data scientists/open community members in the world.  Makers in the “maker movement” is even larger.

Observation…

Wikipedia, GitHub, Kaggle – are all about co-creation of value in communities where it is possible to build social capital/human capital and build technical eminence.
Wikipedia – democratization of compilation and access to information
GitHub (Microsoft intends to acquire) –  democratization of compilation and access to code/algorithms
Kaggle (Google acquired) – democratization of compilation and access to data + algorithms = performance on tasks

How to change cultures?

Derderian, Beth. “AnthroPod presents The Familiar Strange: Designing Agency with Vijayendra Rao.” AnthroPod: The SCA Podcast, Cultural Anthropology website, June 12, 2018. https://culanth.org/fieldsights/1446-anthropod-presents-the-familiar-strange-designing-agency-with-vijayendra-rao

“Lead economist at the WorldBank…not an anthropologist, but he works with anthropology… working on a science of deliberate social change … not all anthropologist are on board with this…. the development industry  … Randomized control trials…. large scale social experiments…. champion of commonsense… policy making…. ethnography… science of medical trials to development… all disciplines have standards for rigorous use of methods… advocate for using the right method on the right questions… ” 

Idea: Compare this method to question to Kaggle performance on task with data and algorithms.

 

In response to the above Hunter Hastings commented:

Hi Jim,

From an economist’s perspective, one has to be very careful with Picketty. He is accused of factual and data errors in the effort to support his Marxist position on the distribution of income and wealth. The Financial Times, Bloomberg, and Huffington Post (as well as many academic journals) published corrections, stimulating a lot of debate.

https://www.ft.com/content/e1f343ca-e281-11e3-89fd-00144feabdc0

https://www.bloomberg.com/view/articles/2015-03-27/piketty-s-three-big-mistakes-in-inequality-analysis

https://www.huffingtonpost.com/2014/05/23/piketty-data-flaw_n_5380947.html

The normal distribution curve is the most common statistical phenomenon in both the natural and the economic worlds, and Nassim Nicholas Taleb (in Fooled By Randomness as well as elsewhere) has warned us to be careful when observing long tailed distributions and projecting broad conclusions about random data embedded in those long tails.

One of the points of view to balance Picketty is to focus on the amount that the curve has been elevated throughout its length by economic and technological progress. Prof Deirdre McCloskey’s shorthand is “3000% in 200 years” – the amount of increase the average citizen of developed countries has experienced in income per capita.

http://www.aei.org/publication/bourgeois-equality-a-chapter-by-chapter-exploration/

The point is not to focus on the long tail of the distribution (the super-rich like Rockefeller and Morgan and Gates and Bezos) but on the general improvement in living standards and the wonderful escape from poverty brought about by capitalism and technology.

In our book, Jeff and I generally take this optimistic point of view and project it into the future. In the Individual Economy, when everyone becomes an entrepreneur, with the help of cognitive assistants, cloud computing, and global exchange platforms, there will be elevating pathways for many more people. Jack Ma has an interesting take on how this opportunity might present itself to the individual. He describes Alibaba as an economy – the twentieth biggest in the world (and he’s aiming for 5th). In this economy, Alibaba provides individuals with all the technology infrastructure and support they need to create their own entrepreneurial business on the platform. Jack Ma might get rich, but at the same time, millions of entrepreneurs will seize new opportunities for themselves, with success determined by their own initiative and ingenuity.

I don’t know how you feel about George Gilder, but he agrees that the new innovations in technology, including blockchain and associated crypto-related developments, will democratize opportunity further, and result in the break-up of what he calls the GAFA (Google, Apple, Facebook, Amazon) concentration.

https://www.forbes.com/sites/richkarlgaard/2018/02/09/why-technology-prophet-george-gilder-predicts-big-techs-disruption/#d508d42d2132

Undesired disparities in income distribution are worthy of our attention, of course, but broadly distributed, technology-augmented entrepreneurial capacity is a much more productive field for technology to address; raising the curve all along its length is better policy than redistribution.

Best regards, Hunter

P.S. [If you share the above] You might mention that my blog is at https://centerforindividualism.org

I’ve blogged there about McCloskey’s theory of capitalism (https://centerforindividualism.org/individualism-is-win-win-all-the-other-theories-are-zero-sum/) although not about Picketty.

 

More from Hunter:

Hi Cristina [Pietronudo],

Thank you for your e-mail. It sounds like you are working in an interesting field. I would love to learn more about co-distribution. Jeff and Jim and I have all written extensively about co-creation of value, and co-distribution of value sounds related.

As Jim knows, I am an advocate of the Austrian School of Economics, the school of Carl Menger, Eugen von Boehm-Bawerk, Ludwig von Mises and F.A.Hayek and, today, Jesus Huerta de Soto and Peter G. Klein. This school sees the economy as a self-governing spontaneous order. The individual entrepreneur is the driving force in the economy, in this view, pursuing co-creation of value with customers to generate the most value for all. In this view, government can not create value, since its role is simply to take value from some market participants and redirect it to others or use it for its own purposes. Government interventions, while often well-intended, can only distort a self-organizing spontaneous order.

If you are interested in finding out more, Jesus Huerta de Soto’s book, The Austrian School: Market Order And Entrepreneurial Creativity, is an excellent introduction and a short read (129 pages). It includes a side-by-side table comparing the Austrian School principles with neo-classical, Keynesian and Chicago School economics.

Huerta de Soto’s position is that the most just society is the one that most freely unleashes the creativity of its entrepreneurial citizens. This produces what he calls a dynamic efficiency – the most good for the most market participants.

I look forward to hearing more about co-distribution. Perhaps you could direct me to some reading or papers. Thank you.

Best regards,

Hunter Hastings

 

From Jeff Saperstein:

Hi Cristina [Pietronudo],

I believe that a way to speak to young people is to start with their own aptitudes and skills (what comes easily to them) so they can identify success in their own life experience. The APP Knack has an education game series that is designed for children 10+, who can see a way to understand themselves unfamiliar from conventional school and home life.

One question Jim has posed for young people is: “What problem do you want to solve?” Do you have a passion for social justice, global warming, sports, online gaming? Any category is relevant. I suggest they watch TedTalks from both Kelly and Jane McGonigal (twins) who each have articulated a vision for living life and work that is a mind blower for young people. Since many young people are visual learners videos  may be more easily absorbed than books. A series of Ted Talks from people such as: Brene Brown (Power of Vulnerability), Chimamanda Adichie (The Power of Story), Seth Godin (Tribes on the Internet), Randy Pausch’s Last Lecture on Achieving Your Childhood Dreams, and Bruno Torturra: Got a SmartPhone? Start Broadcasting, will inspire young people to see Gamification, Social Science, Creative Arts, Leadership, Teaching, and Journalism in a whole new way.

Hope these leads and perspectives can help.

Best,

Jeff

CFP: AI and Public Sector Application (Deadline July 20th)

Artificial Intelligence in Government and Public Sector

The democratization of AI has begun. AI is no longer reserved for a few highly specialized enterprises. As easy-to-configure AI methods proliferate, we see that simple, localized, but nonetheless very useful AI applications are beginning to pervade society. Government and the public sector are not immune from this trend.

However, AI in government and the public sector faces unique challenges and opportunities. These systems will be held to a higher standard since they are supposed to operate for the “public good.” They face increased scrutiny for transparency, fairness, explainability, and operation without unintended consequences. Governments provide critical services and are expected to be the provider of last resort, sometimes backstopping the commercial sector. How can the development, deployment, and use of these systems be managed to ensure they meet these requirements by design and in practice? How can their use be proactively monitored to ensure their operations meet these objectives in practice?

Topics

This symposium will focus on these unique elements of government and public sector AI systems. We invite contributions addressing topics including the following:

  • Adoption: Best practices for ensuring adoption and acceptance of AI in Government – navigating the environmental challenges to plan, build, and deploy AI in government.
  • Applications: Public sector problems where AI can play an important role without deep new experimentation, for example, fighting terrorism, serving vulnerable populations, understanding regulations, combating child trafficking…
  • Transparency: Ensuring transparency and comprehensibility in the governmental use of AI, to avoid anti-democratic preferential access and treatment to select members of society.
  • Security: Ensuring that AI systems are designed and built to be robust and resilient in the face of systemic, cyber, external manipulation, and other risks.
  • Fairness: Developing AI methods to support auditing in order to detect bias, and then benchmark any efforts to mitigate unwanted bias.
  • Innovation: Using AI to encourage public service innovation. What areas are less immediately approachable by AI, but still pose an urgent need, and hence offer significant  financial and social reward for experimentation by public administrators?
  • Ecosystem: Translating from .com to .gov – looking at the reality that .gov adoption of AI is not in the same ecosystem as a commercial company. How can one establish and foster public-private partnerships around AI methods and services to the benefit of both?
  • Standards: Developing a systematic approach for the use of AI in government (for example, policies, methodologies, guides) or elements in support of such use (for example, taxonomies, ontologies).
Submissions

The symposium will include presentations of accepted papers in both oral and panel discussion formats, together with invited speakers and software demonstrations. Potential symposium participants are invited to submit either a full-length technical paper or a short position paper for discussion. Full-length papers must be no longer than eight (8) pages, including references and figures. Short submissions can be up to four (4) pages in length and describe speculative work, work in progress, system demonstrations, or panel discussions.

Please submit via the AAAI EasyChair site choosing the Artificial Intelligence in Government and Public Sector track. Please submit by July 20.

Organizing Committee

Frank Stein, Chair (IBM), Mihai Boicu (George Mason University), Lashon Booker (Mitre), Chris Codella (IBM), Michael Garris (NIST), Eduard Hovy (Carnegie Mellon University), Chuck Howell (Mitre), Anupam Joshi (University of Maryland Baltimore County), Ned McCulloch (IBM), Alun Preece (Cardiff University), Jim Spohrer (IBM), John Tyler

 

URL: https://aaai.org/Symposia/Fall/fss18symposia.php#fs03

 

Call for Papers: Analytics and AI Applications (HICSS – Jan 8-11, 2019 Maui)

Dear colleagues
We invite you to submit the paper to “Analytics and AI for industry-specific applications” minitrack

http://hicss.hawaii.edu/tracks-52/decision-analytics-mobile-services-and-service-science/#analytics-and-ai-for-industry-specific-applications-minitrack
HICSS conference http://hicss.hawaii.edu/ will be held on January 8-11 at Maui island, Hawaii. The deadline for submitting papers is June 15
The purpose of this minitrack is to invite case studies of applications of data analytics and artificial intelligence based smart services and digital solutions across industries. We are looking for reports that improve our understanding of how analytics and AI are currently used across industries influencing digital transformation of economies. We are interested in getting answers to the question “Where can AI be applied in an industry specific manner (a task with open access data and code) to benchmark and to improve industry standard performance, and grow more opportunities for value creation?” We are also interested in open tech AI applications for Healthcare and Manufacturing as well as other industry specific applications of AI. We will emphasize research on the design, analysis, implementation, adoption, and evaluation of real-life cases that provide opportunities to design, develop, and deploy these capabilities as micro-services that solve customer needs, especially those with startup potential.
We also invite case studies on how to teach these technologies in the classroom and reports of creative ways of integrating industry into these efforts. We also welcome reports on optimal cloud computing environment to support these research and education activities.
We encourage papers that report on lessons learned, on topics which include, but are not limited to, the following:
Data Analytics & AI: How to improve corporate data literacy
Data to Insight and Wisdom: Do universities make the grade?
The emergence of the Chief Analytics Officer and marketplace for specialists
ROI of these information systems (Analytics, AI, Smart Services)
“Big science” and “citizen science” applications of BI, Analytics, Cognitive and Smart Services
Next generation of analytics and AI applications in business & education
Addressing grand challenges with intelligence, analytics, smart services, and cognitive assistants and mediators
Digital transformation with smart services and cognitive assistants
Integration of cloud computing in support of Big Data, Analytics and AI research and teaching, solving storage and networking challenges associated with Big Data, including edge cloud applications and locality of data challenges.
Innovative approaches in data collection and network transportation, especially those incorporating new technologies including IoT, blockchain, etc.

Minitrack Co-Chairs:
Sergey Belov (Primary Contact)
IBM East Europe/Asia
Sergey_Belov@ru.ibm.com
James Spohrer
IBM Almaden Research Center
spohrer@us.ibm.com
Andy Rindos
IBM Emerging Technology Institute
rindos@us.ibm.com

T Summit Conferences 2014-2016

Bringing hundreds of people together every year to discuss the T-Shaped Professionals was done at by IBM and Michigan State University (MSU) in 2014, 2015, and 2016.

T Summit 2014 (IBM Research Almaden, San Jose, CA)

T Summit 2015 (Michigan State University, East Lansing, MI)

T Summit 2016 (National Academies, Washington DC)

Since 2017, The T-Summits have been smaller workshop at MSU – See http://tsummit.org

Previously (2008), IBM and Cambridge University called for creation of T-shaped Professionals in a report:

Cambridge-IBM SSME Report (Cambridge University, UK):

https://www.ifm.eng.cam.ac.uk/uploads/Resources/Reports/080428cambridge_ssme_whitepaper.pdf

“4.3 Where are the opportunities to address the skill gap? Developing T-shaped professionals: Discipline-based education remains a vital role of modern universities. In order to close the skill gap, however, universities should also offer students the opportunity to gain qualifications in the interdisciplinary requirements of SSME. Such qualifications would equip graduates with the concepts and vocabulary to discuss the design and improvement of service systems with peers from other disciplines. Industry refers to these people as T-shaped professionals, who are deep problem solvers in their home discipline but also capable of interacting with and understanding specialists from a wide range of disciplines and functional areas.  Widely recognised SSME programmes would help ensure the availability of a large population of T-shaped professionals (from many home disciplines) with the ability to collaborate to create service innovations. SSME qualifications would indicate that these graduates could communicate with scientists, engineers, managers, designers, and many others involved in service systems.  Graduates with SSME qualifications would be well prepared to ‘hit the ground running’, able to become immediately productive and make significant contributions when joining a service innovation project.”

“5.1 Recommendations for education: Enable graduates from various disciplines to become T-shaped professionals, who are adaptive innovators with a service mindset and can make early contributions to the service-driven economy.  All students and employees, who wish to, should have the opportunity to learn about Service Science and develop themselves into T-shaped professionals. This can be achieved by adding SSME qualifications to an existing deep home discipline of study. As adaptive innovators, they will have a good background in the fundamentals of service innovation. With a service mindset, they can work effectively in project teams across discipline and functional silos. As research creates a truly integrated theory of service systems, students of Service Science will become system thinkers prepared to succeed in a 21st century service-driven globally integrated economy.”

IfM and IBM. (2008). Succeeding through service innovation: A service perspective for education, research, business and government. Cambridge, United Kingdom: University of Cambridge Institute for Manufacturing.  ISBN: 978-1-902546-65-0.

IDEO had called for creation of T-Shaped Professionals earlier as well.

IDEO CEO Tim Brown: T-Shaped Stars: The Backbone of IDEO’s Collaborative Culture

McKinsey & Company had also called for creation of T-Shaped Professionals even earlier.

See: “T-shaped consultants” in “McKinsey & Company: Managing Knowledge and Learning,” by Christo-
pher A. Bartlett, Harvard Business School Case 9-396-357 (1996).
The thinking about T-Shaped Professionals continues to evolve, and the case for educating T-Shaped Professionals continues to gather evidence in its favor.

Preparing for Our Future with Open Artificial Intelligence (#OpenTechAI): A Service Science Perspective

(Presented at JAIST World Conference)

Preparing for Our Future with Open Artificial Intelligence (#OpenTechAI): A Service Science Perspective

Keywords: service science, service-dominant logic, knowledge science, computer science, artificial intelligence, open source, open technologies, open innovation, scientific repeatability

This talk will present a service science perspective on how best to prepare for our future with open artificial intelligence.  To frame this discussion, a somewhat novel introduction to the interconnected domains of knowledge science, service-dominant logic, computer science, artificial intelligence, open innovation will be offered.  Service science aims to provide a transdisciplinary explanation of the evolving ecology of service systems entities and the value propositions that interconnect them, based on a service-dominant logic world view, in which service is the basis of all exchange and the primary motivation for interaction between entities.  Service science can be thought of as the knowledge-base that allows entities to learn to play better and better win-win games over time.  Service-dominant logic has defined service as the application of knowledge for the benefit of others. From a computer science perspective, artificial intelligence capabilities of entities can be viewed as the application of knowledge to perform a task as well as or better than a person.  A timeline and roadmap will be presented for solving open source artificial intelligence (i.e., performance at about human-level on first narrow and then general tasks) for most tasks in our modern economies that are based on human knowledge and technical expertise.  Much of the progress towards solving artificial intelligence is on full display on GitHub (open source code projects) and on AI and data science leaderboard challenge websites (e.g., Kaggle).  Preparing for our future with open artificial intelligence will force a deeper examination of the rights and responsibilities of entities, their interactions and the outcomes of those interactions. Apps on smartphones will gain capabilities (e.g., voice interfaces, conversation interfaces, episodic memories, etc.) and transform into low-cost digital workers as Moore’s Law continues.  This will represent a miniaturization of the expertise economy of nations.   As factories and farms also miniaturize, entities will have the opportunity to lower costs through AI-directed local material and energy flows.  Individuals empowered by eventually hundreds of low-cost digital workers, as well as miniature factories and farms will enjoy “better building blocks” than any previous generation, as well as higher GDP (Gross Domestic Product) per employee, and higher quality of life as a result.  However, this is not utopia, as new challenges will emerge, requiring new forms of governance to gain the benefits and avoid the risks of these advances.  Open innovation challenges offer one such positive direction for entities, individuals, businesses, universities, and governments.