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05/01/2023 1
Panel Discussion Open Innovation & Singularity:The Future of Industries & Business Models
Solomon Darwin (Berkeley Haas) and Jim Spohrer (IBM)Santa Clara Convention Center, CA USA, Thursday November 19th, 2015
– Course: “How to build a cognitive system for Q&A task.”– 9 months for 40% question answering (Q&A) accuracy for corpus/textbook– 1-2 years for 90% accuracy, mostly which user questions to reject
• 2025– Course: “How to use a cognitive system to be a better professional X.”– Tools to build a student level Q&A from textbook in 1 week
• 2035– Course: “How to use your cognitive assistant to build a unicorn startup.”– Tools to build faculty level Q&A for textbook in one day– Most people have at least one cognitive assistant working for them– A cognitive mediator knows a person better than they know themselves
• 2055– Course: “How to manage your workforce of cognitive assistants.”– Most people have 100 cognitive assistants working for them.
• Value propositions & technology propositions– Save Time? Weakest Link– Reduce Costs? Exponentials– More Value in Context? User Models/Building Blocks– Breakthrough Pricing? Energy– More Adaptive? Data Superabundance
• (1) Faculty and students describe their work on weekly ISSIP COI CSIG calls - http://cognitive-science.info/community/weekly-update/
• (2) IBMers and faculty/students identify and work on submitting grant proposals to federal and foundation sources - for example, in USA: http://www.nsf.gov/pubs/2015/nsf15610/nsf15610.htm
• (3) Review of any possible IBM awards to support aligned submissions - http://cognitive-science.info/award-recipients/
• (4) Research outcomes/publications and IBM hires students
• (5) possible exchange - IBMers on Campus at university, Faculty/Students at IBM
• (6) CSIG: building cognitive systems is still very hard, and CSIG is exploring how to improve methods to develop cognitive assistants for all occupations
• 1000 occupations are described at the O*NET website: http://www.onetonline.org/
For all occupations in O*NETFor list of tasks in an occupation: Measure: (1) expert/novice performance on related task(2) cognitive system performance on that related task
• Plot the data and update it see the progress.
– An example of (1) above is this article (thanks Franz Dill!): the game Airport Scanner - turning tasks into games to measure expert novice performance levelshttp://eponymouspickle.blogspot.com/2015/01/turning-boring-task-into-game.html
– An example of (2) above is this article (thanks Jean Paul Jacob!)Computer-based personality judgments are more accurate than those made by humans http://www.pnas.org/content/early/2015/01/07/1418680112
“A service scienceperspective considersthe evolving ecology of service system entities, their value co-creation andcapability co-elevationinteractions, and their capabilities, constraints,rights, and responsibilities.”
Cognitive SystemsEntities
Service SystemsEntities With
CognitiveMediators
Add Rights &Responsibilities
Assisting individuals and organizations to close their service innovation skills gap
and co-create smarter service systems empowering employees, customers, citizens
with cognitive mediatorsin the collaborative service economy