Abstract :

The popularity of artificial intelligence (AI) is accompanied by contrasting views of it, ranging between utopian visions of unlimited benefits and dystopian fears of humanity’s demise. This has led to frequent calls for “responsible AI” to pursue the positives while avoiding the negatives. Based on the most relevant meaning of the word “responsible” as an adjective as per the Cambridge Dictionary, for an AI artifact to be responsible, it should have “good judgment and the ability to act correctly and make decisions on your own.” However, the term “responsible AI” is used in diverse ways. The agent performing the action could be the AI artifact (as the dictionary-based meaning of the term suggests) or human beings in a variety of roles, including as visionaries, designers, developers, and users. Moreover, these humans (and consequently the AI artifact) might pursue a variety of agendas based on their values, positions, and goals. For example, those focusing on worker safety would view robots that replace human workers in dangerous work situations as “responsible AI,” but not those focusing on the welfare of the low-income workers being replaced. More fundamentally, prior literature associates responsible AI with diverse goals, including doing what is right; doing what is ethical; doing what is moral; doing what improves humanity; doing what is fair; doing what is inclusive; doing what enhances sustainability; etc. In this presentation, I will discuss “responsible AI” in terms of the artifacts, agents and agendas, while drawing upon some of my relevant work.

About the Speaker :

Dr. Rajiv Sabherwal is the Edwin & Karlee Bradberry Endowed Chair and Distinguished Professor at the Walton College of Business, University of Arkansas. His research on the management, use, and impact of information technologies appears in Management Science, Organization Science, Journal of AIS (JAIS), MIS Quarterly (MISQ), Information Systems Research (ISR), Journal of MIS, California Management Review, and MIS Quarterly Executive (MISQ-E). He has served as Editor-in-Chief for IEEE Transactions on Engineering Management, Conference Co-Chair for the International Conference of Information Systems

(ICIS), Chair for the ICIS Executive Committee, and Program Co-Chair and Doctoral Consortium Co-Chair for the Americas Conference of Information Systems. He has performed senior editor, guest editor, or department editor roles for JAIS, MISQ, ISR, Journal of Strategic Information Systems, Journal of Information Technology, Decision Sciences, and MISQ-E. He is a recipient of the Association for Information Systems (AIS) LEO Lifetime Achievement Award, a Fellow of IEEE, a Fellow of AIS, and a Fellow of the Asia-Pacific Artificial Intelligence Association.

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