Intelligence Augmentation: Towards Building Human-Machine Symbiotic Relationship

Authors

Lina Zhou, University of North Carolina at CharlotteFollow
Souren Paul, Northern Kenntucky UniversityFollow
Haluk Demirkan, University of Washington-TacomaFollow
Lingyao Yuan, Iowa State UniversityFollow
Jim Spohrer, IBM Almaden Research CenterFollow
Michelle Zhou, JujiFollow
Julie Basu, smartQEDFollow

Abstract

Artificial intelligence, which people originally modeled after human intelligence, has made significant advances in recent years. These advances have caused many to fear that machines will surpass human intelligence and dominate humans. Intelligence augmentation (IA) has the potential to turn the tension between the two intelligence types into a symbiotic one. Although IA has not gained momentum until recent years, the idea that machines can amplify human abilities has existed for many decades. Expanded from a panel discussion on Intelligence Augmentation at the 2020 International Conference of Information Systems (ICIS), we define IA in light of its history and evolution and classify IA based on its capabilities, roles, and responsibilities. Based on reviewing the IA literature in terms of research themes, enabling technology, and applications, we identify key research issues, challenges, and future opportunities.

DOI

10.17705/1thci.00149

Recommended Citation

Zhou, L., Paul, S., Demirkan, H., Yuan, L., Spohrer, J., Zhou, M., & Basu, J. (2021). Intelligence Augmentation: Towards Building Human-Machine Symbiotic Relationship. AIS Transactions on Human-Computer Interaction, 13(2), 243-264. https://doi.org/10.17705/1thci.00149
DOI: 10.17705/1thci.00149