Artificial Intelligence Education and Governance: Preparing Human Intelligence for AI Driven Performance Augmentation

Samuel, J., Friedman, L. W., Samuel, Y. and Kashyap, R., Artificial Intelligence Education and Governance: Preparing Human Intelligence for AI Driven Performance Augmentation, Frontiers in Artificial Intelligence, 2022.

4 Pages Posted: 23 Mar 2022

See all articles by Jim Samuel

Jim Samuel

Rutgers University, New Brunswick; Independent

Linda Weiser Friedman

City University of New York (CUNY) - Paul H. Chook Department of Information Systems & Statistics; CUNY - The Graduate Center

Yana Samuel

Northeastern University

Rajiv Kashyap

Independent

Date Written: 2022

Abstract

Every human will interact with artificial intelligence (AI) in the visible future, directly or indirectly, some for creating products and services, some for research, some for government, some for education, and many for consumption. It is globally acknowledged that the vast majority of people are not sufficiently aware of AI technologies and their potential impacts, and are therefore unprepared for facing the emerging AI wave. This raises critical and urgent questions: Can AI affect human intelligence (HI) adversely? What are the immediate and long-term risks created by AI for HI? How can we develop human performance supportive AI management policies? What is the role of AI education in preparing humans for interactions with AI? These are open research questions of immense importance and urgency. The critical difference between past scientific industrial revolutions and the current AI spearheaded transformation is that past revolutions replaced human muscle power, while AI has the potential to replace HI in many areas.

Keywords: artificial intelligence, human intelligence, Education, Governance, Performance, Augmentation, Behavior, AI, Policy

Suggested Citation

Samuel, Jim and Friedman, Linda Weiser and Samuel, Yana and Kashyap, Rajiv, Artificial Intelligence Education and Governance: Preparing Human Intelligence for AI Driven Performance Augmentation (2022). Samuel, J., Friedman, L. W., Samuel, Y. and Kashyap, R., Artificial Intelligence Education and Governance: Preparing Human Intelligence for AI Driven Performance Augmentation, Frontiers in Artificial Intelligence, 2022. , Available at SSRN: https://ssrn.com/abstract=4019977

Jim Samuel (Contact Author)

Rutgers University, New Brunswick ( email )

New Brunswick, NJ
United States

Independent ( email )

Linda Weiser Friedman

City University of New York (CUNY) - Paul H. Chook Department of Information Systems & Statistics ( email )

17 Lexington Avenue
New York, NY 10010
United States

HOME PAGE: http://linda.proffriedman.net

CUNY - The Graduate Center

365 Fifth Avenue
New York,, NY 10016
United States

Yana Samuel

Northeastern University ( email )

220 B RP
Boston, MA 02115
United States

Rajiv Kashyap

Independent

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