Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
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The objective metrics used are commonly adapted in literature to capture the level of reliance within the human-AI interaction context.
“These parameters are commonly adapted in literature to capture the level of reliance within the human-AI interaction context.”
From Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision Making (2024) · cites this paper as [58]
Appropriate trust and reliance play a critical role in achieving complementary human-AI team performance.
“Prior work has highlighted that appropriate trust and reliance play a critical role in achieving complementary human-AI team performance [58, 90, 139, 141].”
From Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision Making (2024) · cites this paper as [58]
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- Publisher
- ACM
- Published
- 2021-03
- OpenAlex
- W4253763531
- Cited by
- 541
- References
- 0
- Citations by year
- 2026: 2 · 2025: 177 · 2024: 216 · 2023: 95 · 2022: 35 · 2021: 12 · 2020: 3
- Type
- paratext
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Keywords
- fairness, accountability, transparency, algorithmic fairness, algorithmic accountability, algorithmic transparency
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