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96 results for Fairness, Accountability, Transparency

The Literary Canons of Large-Language Models: An Exploration of the Frequency of Novel and Author Generations Across Gender, Race and Ethnicity, and Nationality
- - Paulina Toro Isaza
  - Nalani Kopp
- 2025
- NAACL 2025
Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation
- - Jessica He
  - Stephanie Houde
  - et al.
- 2025
- CHI 2025
Learn more about our Fairness, Accountability, Transparency work
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Responsible Prompting Recommendation: Fostering Responsible AI Practices in Prompting-Time
- - Vagner Figueredo De Santana
  - Sara Berger
  - et al.
- 2025
- CHI 2025
Ethical Co-Development of AI Applications with Indigenous Communities
- - Claudio Santos Pinhanez
  - Edem Wornyo
- 2025
- CHI 2025
JUSTICE OR PREJUDICE? QUANTIFYING BIASES IN LLM-AS-A-JUDGE
- - Jiayi Ye
  - Yanbo Wang
  - et al.
- 2025
- ICLR 2025
Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
- - Shahaf Bassan
  - Ron Eliav
  - et al.
- 2025
- ICLR 2025
Usage Governance Advisor: from Intent to AI Governance
- - Elizabeth Daly
  - Sean Rooney
  - et al.
- 2025
- AAAI 2025
Usage Governance Advisor: From Intent to AI Governance
- - Elizabeth Daly
  - Sean Rooney
  - et al.
- 2025
- AAAI 2025
Epistemic Bias as a Means for the Automated Detection of Injustices in Text
- - Kenya Andrews
  - Lamogha Chiazor
- 2025
- AAAI 2025
AI Data Transparency: AI Data Transparency: The Past, the Present, and Beyond
- - Omar Benjelloun
  - Lucie-aimée Kaffee
  - et al.
- 2025
- AAAI 2025