SMS

Wednesday, October 28

12:00 - 13:00  h
Room:
TBD
Parallel Panel Session
Session Leader
Sebastian Krakowski Stockholm School of Economics
Johannes Luger Copenhagen Business School

All Sessions in Track C

Monday: 12:00 - 13:00 h   |   Session 1853
Artificial Intelligence in Action

Monday: 13:45 - 14:45 h   |   Session 1856
Services and Professionals in the Digital Age

Tuesday: 12:00 - 13:00 h   |   Session 1851
Open Organizing in the Digital Age

Tuesday: 13:45 - 14:45 h   |   Session 1854
New Ways of Organizing in the Digital Age

Wednesday: 12:00 - 13:00 h   |   Session 1852
Human-AI Collaboration in Strategic Decision Making

Friday: 13:45 - 14:45 h   |   Session 1855
How do Organizations Adapt in a Time of Machine Learning?

Tracks C and L
Session 1852 -
Human-AI Collaboration in Strategic Decision Making

This panel discusses the consequences of the increasing involvement of Artificial Intelligence in the strategic decision making in organizations. Recently, empirical and conceptual work has highlighted that AI is becoming a fundamental factor in strategic decision making that frequently complements or even completely replaces human decision makers. However, given that AI typically relies on pattern recognition to identify regularities in data, it may be fundamentally unable to replace human intuition due to the unique non-repetitive nature of strategic decisions. The panel convenes experts from Strategy and Information Systems to discuss central questions relating to the integration of humans and AI in strategy. Topics include the evolving role of work, the limitations of technology, and the role of strategy theory as we enter the digital age.

Proposals
Human-AI Collaboration in Strategic Decision Making
Johannes Luger, Copenhagen Business School
Sebastian Krakowski, Stockholm School of Economics
Show Academic Abstract
Panelists
Ron Adner
Dartmouth College

Michael Barrett
University of Cambridge

Julian Birkinshaw
London Business School

Panos Constantinides
University of Manchester

Riitta Katila
Stanford University

Chengwei Liu
ESMT Berlin