Intelligence Augmentation: Towards Building Human- machine Symbiotic Relationship

Lina Zhou, University of North Carolina at Charlotte, Souren Paul, Haluk Demirkan, Lingyao (Ivy) Yuan, Jim Spohrer, Michelle Zhou, Julie Basu, Northern Kentucky University, University of Washington Tacoma, Iowa State University, IBM (+2 others)
2021 AIS Transactions on Human-Computer Interaction  
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.
more » ... 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 fatcat:evjwzwp2cra3tbf37s6chcsyuu