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Join the live stream here. Presentation on Future of AI here. Perspective 1: David Cox (IBM-MIT Partnership) – Narrow AI, Broad AI, General AI, and Perspective 2: Jim Spohrer (IBM) – Better Building Blocks Highlights include keynotes from European Commission, Business Finland, VTT projects, and IBM on AI & Ethics, Future of AI. Please consider …
Continue reading ‘Finland 2019: OpenTech AI Workshop (May 6-7, Helsinki)’ »
Motivation: People from around the world email me every week, asking about “service/systems/innovation degrees and certifications.” Their questions range from (1) where to get a PhD/Masters/Bachelors as a fulltime student, to (2) same, but as a remote, working professional, part-time students, to (3) short-term, certification or certificate of completion for one week workshop, attending a …
Continue reading ‘ISSIP Guide to Service/Systems/Innovation Degrees and Certifications’ »
Universities are responding to the need for all graduates to have foundational skills for a data-driven, AI-powered, digital economy. These new university programs will create graduates with depth in traditional disciplines, as well as broader boundary spanning skills – resulting in T-shapes. Over time, our data will become our AI helper. Two Skills Reports Two …
Continue reading ‘The New Foundational Skills of the Digital Economy & Universities Respond’ »
FYI: Annotated Bibliography Item: Language Models are Unsupervised Multitask Learners Wu J, Child R, Luan D, Amodei D, Suskeve I (2018) Language Models are Unsupervised Multitask Learners. URL: https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf Good summary of the above here: https://towardsdatascience.com/one-language-model-to-rule-them-all-26f802c90660 “Abstract. Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are typically approached with …
Books for those redesigning education: Kline SJ (1995) Conceptual foundations for multidisciplinary thinking. Stanford University Press. URL https://www.amazon.com/Conceptual-Foundations-Multidisciplinary-Thinking-Stephen/dp/0804724091/ Dartnell L. The knowledge: How to rebuild our world from scratch. Random House. URL: https://www.amazon.com/Knowledge-How-Rebuild-World-Scratch/dp/159420523X/r Open Source Ecology: https://wiki.opensourceecology.org/wiki/Book#Disclaimer Open Source Ecology Introduction: Key Points: This book treats the perennial question of making a better world, and …
Tom Malone’s perspective in “Superminds” seems most well thought out to me – it is a very service science oriented perspective, since organizations were the first superminds. See: https://sloanreview.mit.edu/article/how-human-computer-superminds-are-redefining-the-future-of-work Malone TW (2018) How Human-Computer ‘Superminds’ Are Redefining the Future of Work. MIT Sloan Management Review. 2018 Jul 1;59(4):34-41. A few thoughts…. (1) For some reason, …
Continue reading ‘Service System Evolution in the Era of AI’ »
Delighted by a visit from a dozen energetic members of YPO yesterday at IBM’s Silicon Valley Lab briefing center. YPO is the “the premier leadership organization of chief executives in the world” – and I must say they are one of the most inquisitive groups that I have ever presented to: https://www.ypo.org/about-ypo/ – my summary …
FYI: Building machines that learn and think like people Lake BM, Ullman TD, Tenenbaum JB, Gershman SJ (2017) Building machines that learn and think like people. Behavioral and Brain Sciences. 40:1-70. URL: https://cims.nyu.edu/~brenden/LakeEtAl2017BBS.pdf “The difference between pattern recognition and model building, between prediction and explanation, is central to our view of human intelligence. Just as …
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The following are outlines of talks at HICSS-52 workshops – the presentation is uploaded to Slideshare here: https://www.slideshare.net/spohrer/hicss52-20190108-v2 AI & Jobs/Skills: Four main talking points •The Mega-Trend:Open source AI is a mega-trend, e.g., https://developer.ibm.com/blogs/2018/12/12/open-source-ibm-and-ai/ •Can everyone become an entrepreneur?Three laws of Robo-Economics – Freeman RB (2018) Ownership when AI robots do more of the work …
Continue reading ‘HICSS Workshops on AI: Jobs/Skills/Bias’ »
Here is my thought experiment, and I welcome your criticism of it: The gist of my argument is that (from a service science perspective) there are named resources in the world that people communicate about (with words), and they fall into four categories based on two dichotomies (also words/phrases): Of course, physicists and lawyers argue …