Increasing Trust in Artificial Intelligence: Approaches and Limitations

Author(s)
Jason Borenstein
Hille Haker
Roberto Zicari
Parent Collection
Publisher
Center for the Study of Ethics in the Professions, Illinois institute of Technology
Year
2021
Rights
Use of Materials on the OEC
Discipline(s)
Computer, Math, and Physical Sciences
Computer Sciences
Computer Engineering
Engineering
Topics
Artificial Intelligence and Robotics
Public Well-being
Multimedia
License
CC BY-NC-SA
Description

This webinar was originally held on September 22, 2021 by the Center for the Study of Ethics in the Professions, Illinois Institute of Technology.

Abstract

While artificial intelligence (AI) technology has been transforming our lives and offering valuable applications in a broad spectrum of domains such as business, medicine, and communication, it is difficult, if not impossible, to understand the decision-making processes of this complex technology. To increase trust in AI, criteria like transparency, explainability, privacy, fairness, and accountability have been suggested. The webinar explored questions related to trust in AI technology including:

  • How much trust to put in machines?
  • How can more insight into the decision-making processes be gained?
  • What are ways to evaluate and monitor technology?
  • How can adequate assessments and regulations be developed?
  • Is trust the right concept at all when interacting with AI?
Body

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Citation
Jason Borenstein, Hille Haker, Roberto Zicari. . Increasing Trust in Artificial Intelligence: Approaches and Limitations. Online Ethics Center. DOI:. https://onlineethics.org/cases/increasing-trust-artificial-intelligence-approaches-and-limitations.