AI Accountability: Approaches, Affecting Factors, and Challenges
- Publisher:
- IEEE COMPUTER SOC
- Publication Type:
- Journal Article
- Citation:
- Computer, 2023, 56, (4), pp. 61-70
- Issue Date:
- 2023-04-01
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AI Accountability Approaches, Affecting Factors, and Challenges.pdf | Accepted version | 262.24 kB |
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Accountability is one of core ethical principles for artificial intelligence (AI) systems. It is often cited as a must-have property especially in high-stake applications. This survey article investigates AI accountability from different key perspectives for its effective operationalization. Major approaches for achieving accountability are reviewed and typical factors affecting accountability are identified.
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