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”
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
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