Publications

120 results for Fairness, Accountability, Transparency

Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
- - Shahaf Bassan
  - Ron Eliav
  - et al.
- 2025
- ICLR 2025
Conference paper
JUSTICE OR PREJUDICE? QUANTIFYING BIASES IN LLM-AS-A-JUDGE
- - Jiayi Ye
  - Yanbo Wang
  - et al.
- 2025
- ICLR 2025
Conference paper
Usage Governance Advisor: from Intent to AI Governance
- - Elizabeth Daly
  - Sean Rooney
  - et al.
- 2025
- AAAI 2025
Demo paper
Epistemic Bias as a Means for the Automated Detection of Injustices in Text
- - Kenya Andrews
  - Lamogha Chiazor
- 2025
- AAAI 2025
Workshop paper
Usage Governance Advisor: From Intent to AI Governance
- - Elizabeth Daly
  - Sean Rooney
  - et al.
- 2025
- AAAI 2025
Workshop paper
AI Data Transparency: AI Data Transparency: The Past, the Present, and Beyond
- - Omar Benjelloun
  - Lucie-aimée Kaffee
  - et al.
- 2025
- AAAI 2025
Tutorial
Interpolating Item and User Fairness in Multi-Sided Recommendations
- - Qinyi Chen
  - Jason Cheuk Nam Liang
  - et al.
- 2024
- NeurIPS 2024
Conference paper
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
- - Yufang Hou
  - Alessandra Pascale
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Better Bias Benchmarking of Language Models via Multi-factor Analysis
- - Hannah Powers
  - Ioana Baldini Soares
  - et al.
- 2024
- NeurIPS 2024
Workshop paper
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
- - Ivoline Ngong
  - Swanand Ravindra Kadhe
  - et al.
- 2024
- NeurIPS 2024
Workshop paper