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 language | English |
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Journal | Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS |
Volume | 37 |
Publication status | Published - 2024 May 12 |
Event | 37th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2024 - Miramar Beach, United States Duration: 2024 May 19 → 2024 May 21 |
Bibliographical note
Publisher Copyright:Copyright © 2024 by the authors.
ASJC Scopus subject areas
- Artificial Intelligence
- Software