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The Interplay of Machines and Humans:
State of the Art and a Research Agenda for
Hybrid Intelligence
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
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
Before we start…
… we should get to know each other
Please tell us about…
… who you are
… your background
… your research
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
Hybrid Intelligence
Artificial Intelligence
DEFINITION
“Human intelligence
exhibited by machines”
SOME
EXAMPLES
OF AI
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”
No Supervision is Dangerous…
No Supervision is Dangerous…
No Supervision is Dangerous…
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
HYBRID INTELLIGENCE SYSTEMS
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)
Tasks for Humans Augmenting AI
USING HUMANS IN THE LOOP
Feature Generation
Tasks for Humans Augmenting AI
USING HUMANS IN THE LOOP
Feature Generation
Teaching
Is this a lie?
Tasks for Humans Augmenting AI
USING HUMANS IN THE LOOP
Feature Generation
Teaching
Troubleshooting
OUR
LEARNING
SO FAR…
KNOWLEDGE
EXTRACTION AND
AGGREGATION
INCENTIVES AND
BUSINESS
INTEGRATION
INTERPRETABILITY/
TRANSPARENCY
TRUST
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
ANALYSING CULTURAL INFLUENCE IN THE
USAGE OF RECOMMENDATION AGENTS
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
Platzhalter Vortrag 2
Break – 30min
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
INTERVENING INTERACTION - AN APPROACH
FOR THE EVOLUTION OF HIGHLY EFFICIENT
HYBRID SYSTEMS
MEASURING SOCIAL TOLERANCE AND SOCIAL
ACCEPTABILITY IN HYBRID TEAM
COLLABORATION
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
WHAT TYPES OF PROBLEMS CAN BE SOLVED
THROUGH HYBRID INTELLIGENCE?
COMPLEX PROBLEMS
Require Domain Knowledge
Require Empathy or Creativity
Dynamic
No Ground Truth
Require Gut Feeling Stochastic
Time Variant
INTUITION
„A nonconscious, holistic processing mode in which judgments are made
2 FORMS OF INTUITION
INTUITIVE
INSIGHT
INTUITIVE
JUDGEMENT
BAYES ERROR?
Human
Experienced
Doctor
Group of
Experienced
Doctors
~10% ~5% ~1%
$$$$
DESIGNING A HYBRID INTELLIGENCE
SYSTEM THAT HAS A BETTER
INTUITION THAN THE BEST GROUP OF
EXPERTS
HYBRID INTELLIGENCE
teaching intuition
teaching intuition
INTUITION MACHINE ARCHITECTURE
PREDICTION
EXPERT CROWD
LEARNER
GENERATIVE ENTITY
Reward
Generation Match for Labels
Weigh Labels
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
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
Platzhalter Vortrag 2
Break – 60min
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
Towards a Research Agenda
on Hybrid Intelligence
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?
Top 2 - Research Questions
Which research questions do arise when examining human-
AI-interaction in the identified settings?
Top 3 - Research Streams
Is it possible to identify common research streams within the
identified research questions??
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
Announcement 1
-
WAIM Research Network
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
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
The Interplay of Machines and Humans:
State of the Art and a Research Agenda for
Hybrid Intelligence

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State of the Art and Research Agenda for Hybrid Intelligence

  • 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
  • 3. 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
  • 6. 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
  • 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…
  • 12. No Supervision is Dangerous…
  • 13. 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
  • 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
  • 21. 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
  • 22. ANALYSING CULTURAL INFLUENCE IN THE USAGE OF RECOMMENDATION AGENTS
  • 23. 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
  • 25. 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
  • 26. INTERVENING INTERACTION - AN APPROACH FOR THE EVOLUTION OF HIGHLY EFFICIENT HYBRID SYSTEMS
  • 27. MEASURING SOCIAL TOLERANCE AND SOCIAL ACCEPTABILITY IN HYBRID TEAM COLLABORATION
  • 28. 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
  • 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
  • 34. DESIGNING A HYBRID INTELLIGENCE SYSTEM THAT HAS A BETTER INTUITION THAN THE BEST GROUP OF EXPERTS
  • 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
  • 40. 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
  • 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??
  • 45. 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
  • 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

Editor's Notes

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