Antonio_Padovano Leonardo_Skills 20240617 v18.pptx

Host Antonio Padovano: https://www.linkedin.com/in/antoniopadovano/

LEONARDO: https://www.uss-lab.it/projects/leonardo/

Monday June 17, 2024

1. LEONARDO Proect Thanks to Antonio Padovano (U Calbria , Italy) for the opportunity to share some thoughts about Future of Skills June 17, 2024 Presentations online at: https:// slideshare.net / spohrer Jim Spohrer Retired Industry Executive (Apple, IBM) Board of Directors (ISSIP, ServCollab) UIDP Senior Fellow Questions: [email protected] X/Twitter: @ JimSpohrer LinkedIn: https:// www.linkedin.com /in/ spohrer / Slack: https://slack.lfai.foundation Slack: https://issip.slack.com 2001 2015 2021 2022 2023 2024

2. Humanity-Centered Harmonization of Disciplines - Transdisciplinarity Why the (holistic) service systems trend is important to future sustainability Business and societal systems and supply chains are increasingly complex and interconnected. Real-world problems do not respect discipline boundaries. Scalable solutions require many schools of practice working together, and current solutions may have unintended consequences, short-term or longer-term, especially if perspectives are not invited/considered. Technological progress improved the scalability of agriculture and manufacturing, and next all types of service will be made more scalable (and currently, energy intensive) by future AI capabilities and progress. A small sampling of schools and disciplines below – more exist  - apologies for not adding yours to this summary. School of practice for Physical Sciences & Engineering Technology School of practice for Behavioral & Social Sciences, Humanities & Arts People School of practice for Managerial Sciences & Entrepreneurship Information & Organizations Comp. Sci./AI HCI/Robotics Electrical & Mech. Eng. Systems Engineering Economics Public Policy & Law Design Information Systems Operations Research Marketing & Strategy Read enough of Kline (1995) to understand conceptual foundation of multidisciplinary thinking and the techno-extension factor and the accelerating soci o-technical system design loop concepts. 6/17/24 National Academy - Service Systems and AI 4

3. Optimistic Realistic Knowing Doing How to keep up with accelerating change? Follow a diverse collection of people… make up dimensions meaningful to you! Sadly for me… my brain is biased into thinking I can understand older, white, males the best… maybe AI can help overcome! TheNeuron

4. 1960 1980 2000 2020 2040 2060 2080 $1,000,000,000,000 (Trillion) $1,000,000 (Million) $1,000,000,000 (Billion) $1,000 (Thousand) $1 Gigascale (10 9 ) Terascale (10 12 ) Petascale (10 15 ) Exascale (10 18 ) Zettascale (10 21 ) Yottascale (10 24 ) Ronnascale (10 27 ) GDP/Employee Trend Estimating Knowledge Worker Productivity Based on USA Historical Data Year Value 1960 $10K 1980 $33K 2000 $78K 2020. $151K 2023 $169K Kiloscale (10 3 ) Megascale (10 6 ) Cost of computation goes down by 1000x every 20 years (left to right diagonals), driving knowledge worker productivity up.

5. 6/17/24 The International Society of Service Innovation Professionals (ISSIP.org) 9 Advice… 1. AI upskill 2. Build your “digital twin” 3. Set bigger goals(*) (*) This directly implies learning better strategies for coping with failures, and resiliently rebounding.

6. Jim Spohrer is a Silicon Valley-based Advisor to industry, academia, governments, startups and non-profits on topics of AI upskilling, innovation strategy, and win-win service in the AI era. Most recently with a consulting team working for a top 10 market cap global company, he contributed to a strategic plan for a globally connected AI Academy for achieving rapid, nation-scale upskilling with AI. With the US National Academy of Engineering, he co-led a 2022 workshop on “Service Systems Engineering in the Era of Human-Centered AI” to improve well-being. Jim is a retired IBM Executive since July 2021, and previously directed IBM’s open-source Artificial Intelligence developer ecosystem effort, was CTO IBM Venture Capital Group, co-founded IBM Almaden Service Research, and led IBM Global University Programs. In the 1990’s at Apple Computer, as a Distinguished Engineer Scientist and Technologist, he was executive lead on next generation learning platforms.  In the 1970’s, after his MIT BS in Physics, he developed speech recognition systems at Verbex (Exxon) before receiving his Yale PhD in Computer Science/AI. In 1989, prior to joining Apple, he was a visiting scholar at the University of Rome, La Sapienza advising doctoral students working on AI and Education dissertations. With over ninety publications and nine patents, he received the Christopher Lovelock Career Contributions to the Service Discipline award , Gummesson Service Research award, Vargo and Lusch Service-Dominant Logic award, Daniel Berg Service Systems award, and a PICMET Fellow for advancing service science. Jim was elected and previously served as Linux Foundation AI & Data Technical Advisory Board Chairperson and ONNX Steering Committee Member (2020-2021). Today, he is a UIDP Senior Fellow for contributions to industry-university collaborations, and a member of the Board of Directors of the International Society of Service Innovation (ISSIP) and ServCollab . Jim Spohrer , Advisor Retired Industry Executive (Apple, IBM) UIDP Senior Fellow Board of Directors, ServCollab Board of Directors, ISSIP.org Changemaker Priorities Service Innovation Upskilling with AI Future Universities Geothermal Energy Poverty Reduction Regional Development Competitive Parity Technologies AI & Robotics Digital Twins Open Source AR/VR/XR Geothermal Learning Platforms

7. 6/17/24 11 1955 1975 1995 2015 2035 2055 Learn: Explore and Exploit Better Building Blocks Heygen + Claude Jim Twin V1 2024 2024 2021 2001 2015 2022 2023 1970 1995 2019 High School Punch cards 1972 IBM Watson AI in the Cloud 2011

8. Some paths to becoming 640x smarter: Speed up communications for collaborations – ultimately with our AI digital twins. Improving learning of world models and performance of win-win interactions 2x from Learning sciences (methods) Better models of concepts – including models of self and others Better models of learners – including social-emotional intelligence 2x from Learning technology (tools) Guided learning paths Elimination (?) of “ thrashing ” AI & Education (model trace, constructivist, individual tutors, etc.) 2x from Quantity effect (overlaps) More you know, faster (?) you go Advanced organizers 2x from Lifelong learning (time) Longer lives and longer careers Keeps “ learning-mode ” activated 2x from Early learning (time) Start earlier: Challenged-based approach Rebulding all human knowledge from scratch 20x from Cognitive service systems (digital twins) AI Digital Twins for performance support All our interactions tuned to super-mind levels

9. Speed Test: Words Per Minute Speaking/Listening versus Writing/Reading People speak on average between 100-150 words per minute Many people are comfortable listening at 200-300 words per minute Writing an essay on a familiar topic, people write about 10-20 words a minute Many people are comfortable reading at about 400-600 words per minute (Shu 2023) (Barnard 2022)

10. Two disciplines: Two approaches to the future Artificial Intelligence is almost seventy-years-old discipline in computer science that studies automation and builds more capable technological systems. AI tries to understand the intelligent things that people can do and then does those things with technology. ( https://deepmind.com/about “... we aim to build advanced AI - sometimes known as Artificial General Intelligence (AGI) - to expand our knowledge and find new answers. By solving this, we believe we could help people solve thousands of problems.” ) Service science is an emerging transdiscipline not yet twenty-years- old that studies transformation and builds smarter and wiser socoi -technical systems – families, businesses, nations, platforms and other special types of responsible entities and their win-win interactions that transform value co-creation and capability co-elevation mechanisms that build more resilient future versions of themselves – what we call service systems entities. Service science tries to understand the evolving ecology of service system entities, their capabilities, constraints, rights, and responsibilities, and then then seeks to improve the quality of life of people (present/smarter and future/wiser) in those service systems. Service systems are dynamic configurations of people, technology, organizations, and information, connected internally and externally by value propositions, to other service system entities. (Maglio et al 2009)

11. Who I am: Take 2 The Three Ages of Man (Giorgione) Thanks to Alan Hartman for kind inspiration ( slides ) ( recording ) Service is an actor applying resources (e.g., knowledge) to benefit another Service sy stem entities are responsible actors that give and get service (e.g., people, businesses, universities, nations, etc.) Service science studies service systems as an evolving ecology of responsible actors that interact and change. Service innovations improve win-win interaction and change in business and society Service systems are dynamic configurations of four types of resources 6/17/24 Jim Spohrer (ISSIP.org) 15 Environmental and ecological sciences ServCollab