Asia Biega

26 papers A* 3A 1Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
"Because Microchips are the Future: " Investigating End Users' Information Needs Regarding Microchips.
HICSS
Julian Speith, Steffen Becker, Timo Speith, Markus Weber, Asia Biega, Christof Paar
2026 J jnl
From Clicks to Consensus: Collective Consent Assemblies for Data Governance.
CoRR
Lin Kyi, Paul Gölz, Robin Berjon, Asia Biega
2026 J jnl
Multi-party Computation Protocols for Post-Market Fairness Monitoring in Algorithmic Hiring: From Legal Requirements to Computational Designs.
CoRR
Changyang He, Nina Baranowska, Josu Eguiluz Castañeira, Guillem Escriba, Matthias Juentgen, Anna Via, Frederik J. Zuiderveen Borgesius, Asia Biega
2025 J jnl
"Make the Voodoo Box Go Bleep Bloop:" Exploring End Users' Understanding and Information Needs Regarding Microchips.
CoRR
Julian Speith, Steffen Becker, Timo Speith, Markus Weber, Yixin Zou, Asia Biega, Christof Paar
2025 J jnl
Developing a Fair Online Recruitment Framework Based on Job-seekers' Fairness Concerns.
CoRR
Changyang He, Yue Deng, Alessandro Fabris, Bo Li, Asia Biega
2025 J jnl
Towards a Multidisciplinary Vision for Culturally Inclusive Generative AI (Dagstuhl Seminar 25022).
Dagstuhl Reports
Asia Biega, Georgina Born, Fernando Diaz, Mary L. Gray, Rida Qadri
2025 — conf
Turning to Online Forums for Legal Information: A Case Study of GDPR's Legitimate Interests.
APF
Lin Kyi, Cristiana Teixeira Santos, Sushil Ammanaghatta Shivakumar, Franziska Roesner, Asia Biega
2025 J jnl
Turning to Online Forums for Legal Information: A Case Study of GDPR's Legitimate Interests.
CoRR
Lin Kyi, Cristiana Teixeira Santos, Sushil Ammanaghatta Shivakumar, Franziska Roesner, Asia Biega
2025 A* conf
What's in a Query: Polarity-Aware Distribution-Based Fair Ranking.
WWW
Aparna Balagopalan, Kai Wang, Olawale Salaudeen, Asia Biega, Marzyeh Ghassemi
2025 J jnl
What's in a Query: Polarity-Aware Distribution-Based Fair Ranking.
CoRR
Aparna Balagopalan, Kai Wang, Olawale Salaudeen, Asia Biega, Marzyeh Ghassemi
2024 A conf
Explainability as a Requirement for Hardware: Introducing Explainable Hardware (XHW).
RE
Timo Speith, Julian Speith, Steffen Becker, Yixin Zou, Asia Biega, Christof Paar
2024 J jnl
The trade-off between data minimization and fairness in collaborative filtering.
CoRR
Nasim Sonboli, Sipei Li, Mehdi Elahi, Asia Biega
2024 J jnl
Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review.
CoRR
Amruta Mahuli, Asia Biega
2023 J jnl
"It doesn't tell me anything about how my data is used": User Perceptions of Data Collection Purposes.
CoRR
Lin Kyi, Abraham Mhaidli, Cristiana Teixeira Santos, Franziska Roesner, Asia Biega
2023 J jnl
Expanding Explainability: From Explainable Artificial Intelligence to Explainable Hardware.
CoRR
Timo Speith, Julian Speith, Steffen Becker, Yixin Zou, Asia Biega, Christof Paar
2023 A* conf
On the Trade-Off between Actionable Explanations and the Right to be Forgotten.
ICLR
Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci
2023 J jnl
The Role of Relevance in Fair Ranking.
CoRR
Aparna Balagopalan, Abigail Z. Jacobs, Asia Biega
2022 — conf
Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization.
FAccT
Divya Shanmugam, Fernando Diaz, Samira Shabanian, Michèle Finck, Asia Biega
2022 J jnl
On the Trade-Off between Actionable Explanations and the Right to be Forgotten.
CoRR
Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci
2021 A* conf
Estimation of Fair Ranking Metrics with Incomplete Judgments.
WWW
Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz
2021 J jnl
Estimation of Fair Ranking Metrics with Incomplete Judgments.
CoRR
Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz
2021 J jnl
Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice.
CoRR
Divya Shanmugam, Samira Shabanian, Fernando Diaz, Michèle Finck, Asia Biega
2021 J jnl
Reviving Purpose Limitation and Data Minimisation in Personalisation, Profiling and Decision-Making Systems.
CoRR
Michèle Finck, Asia Biega
2019 J jnl
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval.
SIGIR Forum
Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima
2019 J jnl
Report on the First HIPstIR Workshop on the Future of Information Retrieval.
CoRR
Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni
2019 J jnl
Report on the First HIPstIR Workshop on the Future of Information Retrieval.
SIGIR Forum
Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni