Sharing Accountability of Versatile AI Systems: The Role of Developers and Practitioners

Changhyun Lee, Hun Yeong Kwon, Kyung Jin Cha

Research output: Contribution to journalConference articlepeer-review

Abstract

AI systems pose both opportunities and threats in various industries. To harness these opportunities and mitigate risks, accountability is crucial. Traditionally, developers bear the responsibility for auditing and modifying algorithms. However, in the evolving landscape of versatile AI, developers may lack contextual understanding across diverse fields. This paper proposes a theoretical framework that distributes accountability to developers and practitioners according to their capabilities. This framework enhances systemic comprehension of shared roles, empowering both groups to collaboratively avert potential adverse impacts.

Original languageEnglish
JournalProceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS
Volume37
Publication statusPublished - 2024 May 12
Event37th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2024 - Miramar Beach, United States
Duration: 2024 May 192024 May 21

Bibliographical note

Publisher Copyright:
Copyright © 2024 by the authors.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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