I am a tenure-track faculty member (W2) at the Max Planck Institute for Security and Privacy (MPI-SP) where I lead the Responsible Computing group. I am also a principal investigator at the Cluster of Excellence CASA.
My research centers around developing, examining and computationally operationalizing principles of responsible computing, data governance & ethics, and digital well-being.
Before joining MPI-SP, I was a postdoctoral researcher at Microsoft Research Montréal in the Fairness, Accountability, Transparency, and Ethics in AI (FATE) Group. I completed my PhD in Computer Science at the MPI for Informatics and the MPI for Software Systems, winning the DBIS Dissertation Award of the German Informatics Society.
In my work, I engage in interdisciplinary collaborations while drawing from my traditional computer science education and my industry experience, including consulting and engineering stints at Microsoft, Google and in e-commerce.
OPENINGS IN THE RESPONSIBLE COMPUTING GROUP
I am hiring for my group at MPI-SP:
We're reviewing applications on a rolling basis.Responsible Computing Group at MPI-SP
I lead the Responsible Computing group at the Max Planck Institute for Security and Privacy (MPI-SP). Our research centers around developing, examining and computationally operationalizing principles of responsible computing, data governance & ethics, and digital well-being. We study these themes in particular in the context of data-driven and AI-based information systems, covering all their facets (data, algorithms, interfaces, user interactions). We eagerly collaborate across disciplinary boundaries, allowing us not only to make technical contributions in Computer Science, but also to lend our expertise to support research in other fields.
Our current research directions include:
- Data Governance & Ethics
- Digital Well-Being
- Bias, Fairness, Human Factors, Societal Impacts
MPI-SP is the newest institute within the broader landscape of Computer Science research at the Max Planck Society. The institute’s mission is to study and develop the technical foundations and interdisciplinary aspects of security, privacy, and responsible computing. We conduct cutting-edge basic research and train the next generation of scientific and industrial leaders in an environment that encourages collaboration and thinking outside the box.
Group Members
- Alessandro Fabris (postdoc, Humboldt Postdoctoral Fellow)
- Lin Kyi (PhD student)
- Amruta Mahuli (PhD student)
- Önder Askin (visiting PhD student, RUB, 2023-)
- Kirandeep Kaur (research intern, 2023-)
- Yu Yamashita (research intern, 2023-)
- Sushil Kumar (research assistant, 2022-2023)
- Niall Docherty (visiting scholar, 2022-2023)
- Tanusree Sharma (visiting PhD student, UIUC, 2022)
- Alessandro Fabris (visiting PhD student, University of Padua, 2021-2022)
- Martin Pawelczyk (visiting PhD student, University of Tübingen, 2021-2022)
- Aparna Balagopalan (visiting PhD student, University of Toronto / MIT, 2021)
- Nasim Sonboli (visiting PhD student, University of Colorado, Boulder, 2021)
- Athina Kyriakou (research intern, 2022)
- Nikhil Prakhash (research intern, 2022)
- Valentina Ferraioli (research intern, 2021-2022)
Before joining MPI-SP, I was extremely lucky to work with these amazing folks while at Microsoft Research:
- Divya Shanmugam (MIT), research internship, 2020
- Maria Antoniak (Cornell), research internship, 2020
- Ruohan Li (CMU), remote research project, 2020
- Jianxiang Li (CMU), remote research project, 2020
- Tom Sühr (TU Berlin), research internship, 2018-2019
- Jana Schmidt (Saarland University), BSc thesis, 2018
- Sedigheh Eslami (Saarland University) MSc thesis, 2016-2017
Publications
- Data Repurposing through Compatibility: A Computational Perspective
Asia J. Biega
(2024) Special Issue of the Journal of Institutional and Theoretical Economics on "Machine Learning and the Law"
[to appear] [preprint]- Invited contribution for the JITE Symposium on Machine Learning and the Law of the Max Planck Institute for Research on Collective Goods.
- The Role of Relevance in Fair Ranking
Aparna Balagopalan, Abigail Z. Jacobs, Asia J. Biega
(SIGIR 2023) The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF]- Featured in the Montreal AI Ethics Brief.
- On the Trade-Off between Actionable Explanations and the Right to be Forgotten
Martin Pawelczyk, Tobias Leemann, Asia Biega, and Gjergji Kasneci
(ICLR 2023) The 11th International Conference on Learning Representations
[PDF] - Investigating Deceptive Design in GDPR’s Legitimate Interest
Lin Kyi, Sushil Ammanaghatta Shivakumar, Franziska Roesner, Cristiana Santos, Frederike Zufall, and Asia J. Biega
(CHI 2023) The ACM CHI Conference on Human Factors in Computing Systems
[PDF]- Selected for presentation at the French Data Protection Authority's CNIL Privacy Research Day 2023.
- Prelimiary version selected for presentation at the Berkeley Center for Long-Term Cybersecurity's annual research symposium on "Comparing Effects of and Responses to the GDPR and CCPA/CPRA".
- Integrative Objects in Sociotechnical Contexts: Constructing Digital Well-Being with Generic Epistemology
Magdalena Krysztoforska, Niall Docherty, Asia J. Biega
(CHI 2023) The ACM CHI Conference on Human Factors in Computing Systems
[PDF] - Pairwise Fairness in Ranking as a Dissatisfaction Measure
Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega
(WSDM 2023) The 16th ACM International Conference on Web Search and Data Mining
[PDF] - Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization
Divya Shanmugam, Fernando Diaz, Samira Shabanian, Michèle Finck, Asia J. Biega
(FAccT 2022) The ACM Conference on Fairness, Accountability, and Transparency
[PDF]- Our proposal to use scaling laws as a tool for data minimization compliance is now an official recommendation in Norwegian Digitalization Agency's Guidelines for the Responsible Use and Development of Artificial Intelligence (in Norwegian). You can find it under: Privacy (Personvern) -> Privacy for those who will develop artificial intelligence (Personvern for deg som skal utvikle kunstig intelligens) -> Guidelines for scaling (Retningslinjer for skalering).
- (Re)Politicizing Digital Well-Being: Beyond User Engagements
Niall Docherty, Asia J. Biega
(CHI 2022) The ACM CHI Conference on Human Factors in Computing Systems
[PDF]- Featured in the Montreal AI Ethics Brief. Direct link to the research summary.
- Exposing Query Identification for Search Transparency
Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega
(WWW 2022) The ACM Web Conference 2022
[PDF] - Reviving Purpose Limitation and Data Minimisation in Data-Driven Systems
Asia J. Biega, Michèle Finck
Technology and Regulation, 2021
[PDF] - Estimation of Fair Ranking Metrics with Incomplete Judgments
Omer Kirnap, Fernando Diaz, Asia J. Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz
(WWW 2021) The ACM Web Conference 2021
[PDF] - Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz and Michèle Finck
(SIGIR 2020) The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF]- Included as a reference on data minimisation in the Handbook on Data Protection and Privacy for Developers of Artificial Intelligence (AI) in India.
- On the Desiderata for Online Altruism: Nudging for Equitable Donations
Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
(CSCW 2020) The 23rd ACM Conference on Computer-Supported Cooperative Work and Social Computing
[PDF] - Evaluating Stochastic Rankings with Expected Exposure
Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette
(CIKM 2020) The 29th ACM International Conference on Information and Knowledge Management
Best Paper Award Nominee
[PDF]
- Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions
Asia J. Biega, Jana Schmidt, Rishiraj Saha Roy
(ECIR 2020) The 42nd European Conference on Information Retrieval, short paper
[PDF] [Extended version] - Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform
Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty
(KDD 2019) The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] - On the Impact of Choice Architectures on Inequality in Online Donation Platforms
Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi and Hoda Heidari
(WWW 2019) The Web Conference 2019, short paper
[PDF] - Enhancing Privacy and Fairness in Search Systems
Joanna Biega
(PhD Thesis, 2019) Saarland University
DBIS Dissertation Award of the German Informatics Society
[PDF] - Equity of Attention: Amortizing Individual Fairness in Rankings
Asia J. Biega, Krishna P. Gummadi, Gerhard Weikum
(SIGIR 2018) The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF] - Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities
Asia J. Biega, Azin Ghazimatin, Hakan Ferhatosmanoglu, Krishna P. Gummadi, Gerhard Weikum
(CIKM 2017) The 26th ACM International Conference on Information and Knowledge Management
[PDF] - Privacy of Hidden Profiles: Utility-Preserving Profile Removal in Online Forums
Sedigheh Eslami, Asia J. Biega, Rishiraj Saha Roy, Gerhard Weikum
(CIKM 2017) The 26th ACM International Conference on Information and Knowledge Management, short paper
[PDF] - Fair Sharing for Sharing Economy Platforms
Abhijnan Chakraborty, Asia J. Biega, Aniko Hannak, Krishna P. Gummadi
(FATREC@RECSYS 2017) The FATREC Workshop on Responsible Recommendation
[PDF] - Privacy through Solidarity: A User-Utility-Preserving Framework to Counter Profiling
Asia J. Biega, Rishiraj Saha Roy, Gerhard Weikum
(SIGIR 2017) The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF] - R-Susceptibility: An IR-Centric Approach to Assessing Privacy Risks for Users in Online Communities
Joanna Asia Biega, Krishna P. Gummadi, Ida Mele, Dragan Milchevski, Christos Tryfonopoulos, Gerhard Weikum
(SIGIR 2016) The 39th International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF] - YAGO: A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames
Thomas Rebele, Fabian M. Suchanek, Johannes Hoffart, Joanna Asia Biega, Erdal Kuzey, Gerhard Weikum
(ISWC 2016) The 15th International Semantic Web Conference, short paper
[PDF] - IBEX: Harvesting Entities from the Web Using Unique Identifiers
Aliaksandr Tailaika, Joanna Biega, Antoine Amarilli, Fabian M. Suchanek
(WebDB@SIGMOD 2015) The 18th International Workshop on the Web and Databases
[PDF] [Technical report] - YAGO3: A Knowledge Base from Multilingual Wikipedias
Farzaneh Mahdisoltani, Joanna Biega, Fabian M. Suchanek
(CIDR 2015) The 7th Biennial Conference on Innovative Data Systems Research
[PDF] - Probabilistic Prediction of Privacy Risks in User Search Histories
Joanna Biega, Ida Mele, Gerhard Weikum
(PSBD@CIKM 2014) The 1st International Workshop on Privacy and Security of Big Data
[PDF] - Mining History with Le Monde
Thomas Huet, Joanna Biega, Fabian M. Suchanek
(AKBC@CIKM 2013) The 3rd Workshop on Automated Knowledge Base Construction
[PDF] - Inside YAGO2s: A Transparent Information Extraction Architecture
Joanna Biega, Erdal Kuzey, Fabian M. Suchanek
(WWW 2013 - demo) The 22nd International World Wide Web Conference
[PDF] [prezi]
Reports and Opinion Pieces
- Responsible Computing During COVID-19 and Beyond
Solon Barocas, Asia J. Biega, Margarita Boyarskaya, Kate Crawford et al.
(Communications of the ACM) July 2021, Vol. 64 No. 7, Pages 30-32
[article] - Overview of the TREC 2020 Fair Ranking Track
Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sergey Feldman, Sebastian Kohlmeier
(TREC 2020) The 29th Text REtrieval Conference Proceedings
[PDF] - Overview of the TREC 2019 Fair Ranking Track
Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sebastian Kohlmeier
(TREC 2019) The 28th Text REtrieval Conference Proceedings
[PDF] - FACTS-IR: Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval
Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand et al.
(SIGIR Forum) December 2019, Volume 53 Number 2, pp 20–43
[PDF] - Report on the First HIPstIR Workshop on the Future of Information Retrieval
Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber et al.
(SIGIR Forum) December 2019, Vol. 53 No. 2, Pages 62–75
[PDF]
Invited talks and panels
- [Upcoming] Mapping and Governing the Online World, Ascona, Switzerland, June 2024
- [Upcoming] The Future of Digital Well-Being: An International Conference & Pre-Workshop, Amsterdam, The Netherlands, February 2024
- [Upcoming] University of Vienna, January 2024
- Max Planck Symposium on AI and Ethics, Berlin, August 2023
- European Commission's Digital Services Act Stakeholder event, Workshop on “Monitoring and Data Science - Using data science to enforce the Digital Services Act”, Brussels, Belgium, June 2023
- The Institutional Economics Conference: Machine Learning and the Law, Segovia, Spain, June 2023
- Philosophers' Seminar 2023 @ CPDP 2023: Compliance and Automation in Data Protection Law, response to a paper by Massimo Durante, Brussels, Belgium, May 2023
- CPDP 2023: International Conference on Computers, Privacy, and Data Protection, Panel on "GDPR automation: Might the law (unintentionally) push towards automation?", Brussels, Belgium, May 2023
- University of Sheffield, Digital Societies Research Group, May 2023
- Keynote at the ECIR 2023 Workshop on Algorithmic Bias in Search and Recommendation, Dublin, Ireland, April 2023
- RUB Tag der Informatik, Bochum, Germany, February 2023
- Max Planck Institute for Research on Collective Goods, January 2023
- Rituals of Wasted Technology: Marco Barotti's Solo Exhibition, Silent Green, Berlin, Germany, January 2023
- Korea AI Summit 2022: AI for Good, Seoul, South Korea, December 2022
- Keynote at the NeurIPS 2022 Workshop on Human-Centered AI, December 2022
- MusAI Conference 2022 on Music and Artificial Intelligence: Building Critical Interdisciplinary Studies, panelist, UCL, November 2022
- TU Dortmund, November 2022
- Max Planck Symposium on Human and Societal Aspects in Computing, October 2022
- efl Data Science Institute Annual Conference 2022: Democratization of Data Science and AI, Frankfurt, October 2022
- Die Junge Akademie workshop: Interdisciplinary Conversations on the Fairness, Explainability and Uncertainty of AI, Berlin, September 2022
- NSERC Canadian Consortium on Responsible AI, August 2022
- Bosch Center for Artificial Intelligence, July 2022
- University of Glasgow, June 2022
- Search Engines Amsterdam Meetup, May 2022
- The Virtual Ethical Innovation Lecture, University of Lübeck, May 2022
- Microsoft Research New England, Social Media Collective, April 2022
- Bloomberg CTO Data Science Speaker Series, December 2021
- France is AI 2021, invited panelist, Paris, France, November 2021
- Panel on the recent advances and the future of responsible recommendation, FAccTRec @ RecSys 2021, September 2021
- DBIS Best Dissertation Award talk @ BTW 2021 conference of the German Informatics Society, May 2021
- UMass Amherst, CIIR Talk Series, April 2021
- ELLIS Workshop on the Foundations of Algorithmic Fairness, March 2021
- Max Planck Symposium on Computing and Society, January 2021
- University of Colorado Boulder, INFO Seminar Series, October 2020
- Georgetown University, CS Colloquium, October 2020
- Panel: Career paths in industry, Mila -- Quebec AI Institute, Canada, October 2020
- ECCV Workshop: The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security, August 2020
- Panel: Women in IR, SIGIR 2020, July 2020
- TU Munich, Germany, February 2020
- Fairness, Accountability, and Transparency Seminars and Hackfest, UPF Barcelona, Spain, January 2020
- University of Amsterdam, The Netherlands, December 2019
- Microsoft Munich, Germany, July 2019
- LMU Munich, Germany, March 2019
- L3S Research Center, Hannover, Germany, January 2019
- Microsoft Research AI Breakthroughs, Redmond, USA, September 2018
- Microsoft Research Montreal, Canada, August 2018
- Wikimedia Foundation, remote, August 2018
- Panel: How to mentor women in IR? What works, what doesn't, and why?
Women in IR @ SIGIR 2018, Ann Arbor, Michigan, USA, July, 2018 - Microsoft Research Cambridge, UK, February 2018
- Google Zurich, Switzerland, September 2017
- UMass Amherst, Massachusetts, USA, November 2015
Academic Service
PC Chairing:
- SIGIR 2022 Demonstration Papers Track
- ECIR 2022 Doctoral Consortium
- ECIR 2022 Test of Time Award
- SIGIR 2021 Best Paper Awards
- ECIR 2020 Best Paper Awards (Industry Impact Award)
- SIGIR 2020–2021,2023: ACM SIGIR Conference on Research and Development in Information Retrieval
- WWW 2023: ACM Web Conference
- I regularly serve on the PCs of conferences in the areas of Information Retrieval/Web/Data Mining/Machine Learning/AI (including SIGIR, KDD, WSDM, AAAI, SDM, CIKM), as well as Computing & Society (including FAccT, EAAMO).
Teaching
- Lecturer at CMMRS 2022: The Cornell, Maryland, and Max Planck Pre-Doctoral Research School on Emerging Research Trends in Computer Science, August 2022
- Lecturer at ESSIR 2022: The European Summer School in Information Retrieval, Lisbon, Portugal, July 2022
- Tutorial on Purpose Limitation and Data Minimization in Data-Driven Systems @ FAccT 2022, Seoul, South Korea, June 2022
- Lecturer at CMMRS 2021: The Cornell, Maryland, and Max Planck Pre-Doctoral Research School on Emerging Research Trends in Computer Science, August 2021
- Coordinator for Information Retrieval and Data Mining , WS 2017/18.
- Teaching Assistant for Information Retrieval and Data Mining, WS 2015/16.
- Teaching Assistant for the Data Mining with R workshop for high school students, Saarland University, Forschungstage Informatik 2016.
Outreach: Policy, Media, Art
- In 2023-2024, I've been serving as an invited expert for the European Commission, offering insights on the technical implementation of Art. 40 of the Digital Services Act on access to big platform data to external researchers.
- In 2020, I participated in the expert roundtable on the governance of facial recognition technology in Canada. Here's the summary report.
- Montreal AI Ethics Institute highlighted our work on the role of relevance in fair ranking in their AI Ethics Brief.
- Interview for the Offspring podcast of the Max Planck PhD Net on "Data Minimization, Privacy, and Responsible Computing" (April 2023). Also available on YouTube.
- Montreal AI Ethics Institute highlighted our work on digital well-being in their AI Ethics Brief. Here's our research summary.
- The Innovator, Interview of the Week (Nov 26, 2021): How companies should approach AI ethics, digital privacy and digital trust
- Interview for the PlusMinus broadcast of Das Erste (German public television): Werbetracker: Wie Algorithmen unser Verhalten beeinflussen
- Guest speaker on the Consequential podcast by the Block Center for Technology and Society at CMU: S3E9 - Is information de mocratized?
- NIST press release about the TREC Fair Ranking track: To Measure Bias in Data, NIST Initiates ‘Fair Ranking’ Research Effort
- Collaboration with artist Marco Barotti on digital well-being for his kinetic sound sculpture APES. This work was part of his Art-Science Residency at the CASA Cluster of Excellence. As a follow-up to the collaboration, I gave a public lecture at Barotti's solo exhibition Rituals of Wasted Technology.