Hybrid Intelligence: Introducing a New Paradigm to Solve Complex Problems

1. The Interplay of Machines and Humans: State of the Art and a Research Agenda for Hybrid Intelligence

2. Agenda Time Top 09:00 – 09:30 Get-together and Introduction 09:30 – 09:45 A short intro to Hybrid Intelligence 09:45 – 10:30 Workshop Session 1 10:30 – 10:50 Coffee Break 11:00 – 12:30 Workshop Session 2 12:30 – 13:00 Hybrid Intelligence in Practice 13:00 – 14:00 Lunch Break 14:00 – 15:15 Workshop Session 3 15.15 – 15:30 Closing 15:30 – 16:00 Coffee/Tea

4. Before we start… … we should get to know each other

5. Please tell us about… … who you are … your background … your research

7. Hybrid Intelligence

8. Artificial Intelligence DEFINITION “Human intelligence exhibited by machines”

9. SOME EXAMPLES OF AI

10. Machine Learning DEFINITION “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E”

11. No Supervision is Dangerous…

14. HUMAN INTELLIGENCE MACHINE INTELLIGENCE Consistency Speed and Efficiency Pattern Recognition Hard Information and Analytical Flexibility and Transfer Creativity and Empathy Various Data Types and Intuition Bias and Heuristics

15. HYBRID INTELLIGENCE SYSTEMS

16. Hybrid Intelligence DEFINITION “the ability to accomplish complex goals by combining human and artificial intelligence to collectively achieve superior results and continuously improve by learning from each other..” (Dellermann et al. forthcoming)

17. Tasks for Humans Augmenting AI USING HUMANS IN THE LOOP Feature Generation

18. Tasks for Humans Augmenting AI USING HUMANS IN THE LOOP Feature Generation Teaching Is this a lie?

19. Tasks for Humans Augmenting AI USING HUMANS IN THE LOOP Feature Generation Teaching Troubleshooting

20. OUR LEARNING SO FAR… KNOWLEDGE EXTRACTION AND AGGREGATION INCENTIVES AND BUSINESS INTEGRATION INTERPRETABILITY/ TRANSPARENCY TRUST

22. ANALYSING CULTURAL INFLUENCE IN THE USAGE OF RECOMMENDATION AGENTS

24. Platzhalter Vortrag 2 Break – 30min

26. INTERVENING INTERACTION - AN APPROACH FOR THE EVOLUTION OF HIGHLY EFFICIENT HYBRID SYSTEMS

27. MEASURING SOCIAL TOLERANCE AND SOCIAL ACCEPTABILITY IN HYBRID TEAM COLLABORATION

29. WHAT TYPES OF PROBLEMS CAN BE SOLVED THROUGH HYBRID INTELLIGENCE?

30. COMPLEX PROBLEMS Require Domain Knowledge Require Empathy or Creativity Dynamic No Ground Truth Require Gut Feeling Stochastic Time Variant

31. INTUITION „A nonconscious, holistic processing mode in which judgments are made

32. 2 FORMS OF INTUITION INTUITIVE INSIGHT INTUITIVE JUDGEMENT

33. BAYES ERROR? Human Experienced Doctor Group of Experienced Doctors ~10% ~5% ~1% $$$$

34. DESIGNING A HYBRID INTELLIGENCE SYSTEM THAT HAS A BETTER INTUITION THAN THE BEST GROUP OF EXPERTS

35. HYBRID INTELLIGENCE teaching intuition teaching intuition

36. INTUITION MACHINE ARCHITECTURE PREDICTION EXPERT CROWD LEARNER GENERATIVE ENTITY Reward Generation Match for Labels Weigh Labels

37. DESIGN PRINCIPLES 1. Cognitive Feedback on Consistency 2. Social Feedback from Peers 3. Interpretable Machine Feedback 4. Expertise Matching 5. Generative Aggregation 6. Heuristic and Judgement

38. Agenda Time Top 09:00 – 09:30 Get-together and Introduction 09:30 – 09:45 A short intro to Hybrid Intelligence 09:45 – 10:30 Workshop Session 1a: Paper/Project Presentations 10:30 – 10:50 Coffee Break 11:00 – 12:30 Workshop Session 1b: Paper/Project Presentations 12:30 – 13:00 Hybrid Intelligence in Practice 13:00 – 14:00 Lunch Break 14:00 – 15:15 Workshop Session 3: Workshop on Hybrid Intelligence in IS Research Agenda 15.15 – 15:30 Closing 15:30 – 16:00 Coffee/Tea

39. Platzhalter Vortrag 2 Break – 60min

41. Towards a Research Agenda on Hybrid Intelligence

42. Top 1 – Applications Which technological applications will affect the interaction between humans and AI in the near future? Which technological applications will be most relevant for the design of interactions between humans and AI in the near future?

43. Top 2 - Research Questions Which research questions do arise when examining human- AI-interaction in the identified settings?

44. Top 3 - Research Streams Is it possible to identify common research streams within the identified research questions??

46. Announcement 1 - WAIM Research Network

47. WAIM Research Network • WAIM - Work in the Age of Intelligent Machines • Funded by the US National Science Foundation to coordinate research on the human-technology frontier (NSF 17–45463) • Co-PIs Kevin Crowston, Ingrid Erickson and Jeffrey Nickerson • Goal: Build a network of interested researchers to facilitate “disciplinary convergence” to address the topic • Disciplinary convergence (an NSF ”big idea”) • Research driven by a specific and compelling problem (work and intelligent machines) • Deep integration across disciplines by developing common frameworks and new scientific language

48. WAIM Research Network • Activities • Workshops at Academy of Management, HICSS, ECIS and others • Annual conference (1st held at Michigan State University in May 2018) • Infrastructure: https://waim.network/, listserv, @WAIMRCN on Twitter • How we’ll know it’s a success • The network facilitates joint projects that build convergence • A network’s strength is its members, so join today! • https://waim.network/join • https://waim.network/listserv

49. The Interplay of Machines and Humans: State of the Art and a Research Agenda for Hybrid Intelligence

Hybrid Intelligence: Introducing a New Paradigm to Solve Complex Problems

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