Proposal for Workshop on Trust and Responsibility in Recommendation Systems at WSDM 2025
This workshop aims to empower participants to design and audit recommendation systems that prioritize user trust and safety. Atten- dees will explore best practices and innovations in fairness, explain- ability, content safety, algorithm transparency, and the societal im- pacts of recommendation systems. The workshop will address tech- nical and ethical challenges, offering practical insights into risk mit- igation, social concerns, and technical innovations. Participants will leave equipped with actionable frameworks, methodologies, and tools to build responsible systems aligned with societal values and social good. Key activities include keynotes, paper presentations, panel discussions, and interactive sessions, covering topics such as transparency, security, fairness, robustness, and participatory AI. The website of the conference is https://sites.google.com/view/t-rrs.
Authors
- Robin Burke (ORCID: https://orcid.org/0000-0001-5766-6434)
- X.Q. Liu
- Xinghai Hu
Publication Details
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1145/3701551.3705707
- Primary Topic
- Cryptography and Data Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00