Foundations for Fair Social Computing

Informations projet

FairSocialComputing

N° de convention de subvention: 789373

DOI

10.3030/789373

Projet clôturé

Date de signature de la CE 11 Juin 2018

Date de début 1 Juillet 2018

Date de fin 30 Juin 2023

Financé au titre de

• EXCELLENT SCIENCE - European Research Council (ERC)

Coût total

€ 2 487 500,00

Contribution de l’UE

€ 2 487 500,00

Coordonné par

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Germany

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Publications

Conference proceedings (37)

Dissecting Bitcoin and Ethereum Transactions: {O}n the Lack of Transaction Contention and Prioritization Transparency in Blockchains

Auteurs: Messias, Johnnatan; Pahari, Vabuk; Chandrasekaran, Balakrishnan; Gummadi, Krishna P.; Loiseau, Patrick
Publié dans: FC 2023 - Financial Cryptography and Data Security 2023, Numéro 36, 2023
Éditeur: FC
DOI: 10.48550/arxiv.2302.06962

Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning

Auteurs: Preethi Lahoti; Krishna P. Gummadi; Gerhard Weikum
Publié dans: 21st IEEE International Conference on Data Mining, Numéro 24, 2021
Éditeur: IEEE
DOI: 10.1109/icdm51629.2021.00141

Measuring Representational Robustness of Neural Networks Through Shared Invariances

Auteurs: Nanda, Vedant; Speicher, Till; Kolling, Camila; Dickerson, John P.; Gummadi, Krishna P.; Weller, Adrian
Publié dans: Forty-first International Conference on Machine Learning, Numéro 27, 2022
Éditeur: JMLR
DOI: 10.48550/arxiv.2206.11939

A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity

Auteurs: Hoda Heidari, Michele Loi, Krishna P. Gummadi, Andreas Krause
Publié dans: Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019, Page(s) 181-190, ISBN 9781450361255
Éditeur: ACM
DOI: 10.1145/3287560.3287584

Do Invariances in Deep Neural Networks Align with Human Perception?

Auteurs: Vedant Nanda; Ayan Majumdar; Camila Kolling; John P. Dickerson; Krishna P. Gummadi; Bradley C. Love; Adrian Weller
Publié dans: Proceedings of the 37th AAAI Conference on Artificial Intelligence, Numéro 41, 2023
Éditeur: AAAI
DOI: 10.1609/aaai.v37i8.26112

Auditing Black-Box Prediction Models for Data Minimization Compliance

Auteurs: Rastegarpanah, B.; Gummadi, K.; Crovella, M.
Publié dans: Advances in Neural Information Processing Systems 34, Numéro 15, 2021
Éditeur: NeurIPS

When the Umpire is also a Player - Bias in Private Label Product Recommendations on E-commerce Marketplaces

Auteurs: Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Publié dans: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 2021, Page(s) 873-884, ISBN 9781450383097
Éditeur: ACM
DOI: 10.1145/3442188.3445944

Don’t Throw it Away! {T}he Utility of Unlabeled Data in Fair Decision Making

Auteurs: Miriam Rateike; Ayan Majumdar; Olga Mineeva; Krishna P. Gummadi; Isabel Valera
Publié dans: FAccT 2022, Numéro 14, 2022
Éditeur: ACM
DOI: 10.1145/3531146.3533199

Diffused Redundancy in Pre-trained Representations

Auteurs: Nanda, Vedant; Speicher, Till; Dickerson, John P.; Feizi, Soheil; Gummadi, Krishna P.; Weller, Adrian
Publié dans: NeurIPS 2023, Numéro 43, 2023
Éditeur: NeurIPS
DOI: 10.48550/arxiv.2306.00183

Accounting for Model Uncertainty in Algorithmic Discrimination

Auteurs: Junaid Ali; Preethi Lahoti; Krishna P. Gummadi
Publié dans: AIES, Numéro 24, 2021
Éditeur: AAAI
DOI: 10.1145/3461702.3462630

Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy

Auteurs: Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi
Publié dans: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020, Page(s) 260-267, ISBN 9781450379502
Éditeur: ACM
DOI: 10.1145/3386392.3399568

iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making

Auteurs: Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Publié dans: 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, Page(s) 1334-1345, ISBN 978-1-5386-7474-1
Éditeur: IEEE
DOI: 10.1109/icde.2019.00121

On Microtargeting Socially Divisive Ads - A Case Study of Russia-Linked Ad Campaigns on Facebook

Auteurs: Filipe N. Ribeiro, Koustuv Saha, Mahmoudreza Babaei, Lucas Henrique, Johnnatan Messias, Fabricio Benevenuto, Oana Goga, Krishna P. Gummadi, Elissa M. Redmiles
Publié dans: Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019, Page(s) 140-149, ISBN 9781450361255
Éditeur: ACM
DOI: 10.1145/3287560.3287580

Economic Theories of Distributive Justice for Fair Machine Learning

Auteurs: Krishna P. Gummadi, Hoda Heidari
Publié dans: Companion Proceedings of The 2019 World Wide Web Conference, 2019, Page(s) 1301-1302, ISBN 9781450366755
Éditeur: ACM
DOI: 10.1145/3308560.3320101

Beyond Reasonable Doubt

Auteurs: Bakker, Michiel A.; Tu, Duy Patrick; Gummadi, Krishna P.; Pentland, Alex Sandy; Varshney, Kush R.; Weller, Adrian
Publié dans: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, Numéro 5, 2021
Éditeur: AAAI

Fighting Fire with Fire - Using Antidote Data to Improve Polarization and Fairness of Recommender Systems

Auteurs: Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella
Publié dans: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019, Page(s) 231-239, ISBN 9781450359405
Éditeur: ACM
DOI: 10.1145/3289600.3291002

Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction

Auteurs: Gourab K. Patro; Prithwish Jana; Abhijnan Chakraborty; Krishna P. Gummadi; Niloy Ganguly
Publié dans: WWW '22, Numéro 24, 2022
Éditeur: IC3W2
DOI: 10.1145/3485447.3512136

Purple Feed - Identifying High Consensus News Posts on Social Media

Auteurs: Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabrício Benevenuto, Krishna P. Gummadi, Adrian Weller
Publié dans: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018, Page(s) 10-16, ISBN 9781450360128
Éditeur: ACM
DOI: 10.1145/3278721.3278761

Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding

Auteurs: Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi, Abhijnan Chakraborty
Publié dans: Proceedings of the Web Conference 2021, 2021, Page(s) 646-657, ISBN 9781450383127
Éditeur: ACM
DOI: 10.1145/3442381.3450041

Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers

Auteurs: Abhisek Dash; Abhijnan Chakraborty; Saptarshi Ghosh; Animesh Mukherjee; Krishna P. Gummadi
Publié dans: WWW '22, Numéro 2, 2022
Éditeur: IC3W2
DOI: 10.1145/3485447.3512265

A Unified Approach to Quantifying Algorithmic Unfairness - Measuring Individual &Group Unfairness via Inequality Indices

Auteurs: Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
Publié dans: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, Page(s) 2239-2248, ISBN 9781-450355520
Éditeur: ACM
DOI: 10.1145/3219819.3220046

Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking

Auteurs: Mahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi
Publié dans: Proceedings of the Conference on Fairness, Accountability, and Transparency - FAT* '19, 2019, Page(s) 139-139, ISBN 9781-450361255
Éditeur: ACM Press
DOI: 10.1145/3287560.3287581

Two-Sided Fairness for Repeated Matchings in Two-Sided Markets - A Case Study of a Ride-Hailing Platform

Auteurs: Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty
Publié dans: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '19, 2019, Page(s) 3082-3092, ISBN 9781-450362016
Éditeur: ACM Press
DOI: 10.1145/3292500.3330793

On the Impact of Choice Architectures on Inequality in Online Donation Platforms

Auteurs: Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
Publié dans: The World Wide Web Conference on - WWW '19, 2019, Page(s) 2623-2629, ISBN 9781-450366748
Éditeur: ACM Press
DOI: 10.1145/3308558.3313663

Loss-Aversively Fair Classification

Auteurs: Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi
Publié dans: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19, 2019, Page(s) 211-218, ISBN 9781-450363242
Éditeur: ACM Press
DOI: 10.1145/3306618.3314266

Equality of Voice - Towards Fair Representation in Crowdsourced Top-K Recommendations

Auteurs: Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau
Publié dans: Proceedings of the Conference on Fairness, Accountability, and Transparency - FAT* '19, 2019, Page(s) 129-138, ISBN 9781-450361255
Éditeur: ACM Press
DOI: 10.1145/3287560.3287570

Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations

Auteurs: Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly and Krishna P. Gummadi
Publié dans: Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI), Numéro February 2020, 2020
Éditeur: Association for the Advancement of Artificial Intelligence (AAAI)

The Price of Local Fairness in Multistage Selection

Auteurs: Vitalii Emelianov; George Arvanitakis; Nicolas Gast; Krishna P. Gummadi; Patrick Loiseau
Publié dans: IJCAI-2019 - Twenty-Eighth International Joint Conference on Artificial Intelligence, Numéro 20, 2019
Éditeur: IJCAI
DOI: 10.24963/ijcai.2019/809

On Fair Selection in the Presence of Implicit Variance

Auteurs: Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau
Publié dans: Proceedings of the 21st ACM Conference on Economics and Computation, 2020, Page(s) 649-675, ISBN 9781450379755
Éditeur: ACM
DOI: 10.1145/3391403.3399482

Minimizing Margin of Victory for Fair Political and Educational Districting

Auteurs: Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P Gummadi
Publié dans: 2020
Éditeur: International Foundation for Autonomous Agents and Multiagent Systems

the case for chain neutrality

Auteurs: Johnnatan Messias; Mohamed Alzayat; Balakrishnan Chandrasekaran; Krishna P. Gummadi; Patrick Loiseau; Alan Mislove
Publié dans: "IMC 2021 - ACM Internet Measurement Conference, Nov 2021, Virtual Event, France. pp.1-16, ⟨10.1145/3487552.3487823⟩", Numéro 38, 2021
Éditeur: ACM
DOI: 10.1145/3487552.3487823

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

Auteurs: Gourab K Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
Publié dans: Proceedings of The Web Conference 2020, 2020, Page(s) 1194-1204, ISBN 9781450370233
Éditeur: ACM
DOI: 10.1145/3366423.3380196

Treads - Transparency-Enhancing Ads

Auteurs: Giridhari Venkatadri, Alan Mislove, Krishna P. Gummadi
Publié dans: Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018, Page(s) 169-175, ISBN 9781450361200
Éditeur: ACM
DOI: 10.1145/3286062.3286089

Beyond Reasonable Doubt - Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds

Auteurs: Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, Alex Sandy Pentland, Kush R. Varshney, Adrian Weller
Publié dans: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, Page(s) 346-356, ISBN 9781450384735
Éditeur: ACM
DOI: 10.1145/3461702.3462575

Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making

Auteurs: Nina Grgić-Hlača; Claude Castelluccia; Krishna P. Gummadi
Publié dans: The 10th AAAI Conference on Human Computation and Crowdsourcing, Numéro 18, 2022
Éditeur: AAAI
DOI: 10.1609/hcomp.v10i1.21989

On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning

Auteurs: Hoda Heidari, Vedant Nanda, Krishna P. Gummadi
Publié dans: 2019
Éditeur: PMLR

Auditing Offline Data Brokers via Facebook's Advertising Platform

Auteurs: Giridhari Venkatadri, Piotr Sapiezynski, Elissa M. Redmiles, Alan Mislove, Oana Goga, Michelle Mazurek, Krishna P. Gummadi
Publié dans: The World Wide Web Conference on - WWW '19, 2019, Page(s) 1920-1930, ISBN 9781450366748
Éditeur: ACM Press
DOI: 10.1145/3308558.3313666

Peer reviewed articles (11)

Lethe : Conceal Content Deletion from Persistent Observers

Auteurs: Mohsen Minaei, Mainack Mondal, Patrick Loiseau, Krishna Gummadi, Aniket Kate
Publié dans: Proceedings on Privacy Enhancing Technologies, Numéro 2019/1, 2018, Page(s) 206-226, ISSN 2299-0984
Éditeur: De Gruyter Open
DOI: 10.2478/popets-2019-0012

On the Desiderata for Online Altruism

Auteurs: Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
Publié dans: Proceedings of the ACM on Human-Computer Interaction, Numéro 4/CSCW2, 2020, Page(s) 1-21, ISSN 2573-0142
Éditeur: ACM
DOI: 10.1145/3415197

Operationalizing individual fairness with pairwise fair representations

Auteurs: Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Publié dans: Proceedings of the VLDB Endowment, Numéro 13/4, 2019, Page(s) 506-518, ISSN 2150-8097
Éditeur: VLDB Endowment Inc.
DOI: 10.14778/3372716.3372723

Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media

Auteurs: Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Publié dans: IEEE Transactions on Computational Social Systems, Numéro 6/4, 2019, Page(s) 680-691, ISSN 2329-924X
Éditeur: IEEE Systems, Man, and Cybernetics Society
DOI: 10.1109/tcss.2019.2920000

Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations

Auteurs: Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Publié dans: Information Retrieval Journal, Numéro 22/5, 2019, Page(s) 447-475, ISSN 1386-4564
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10791-019-09351-2

Human Decision Making with Machine Assistance

Auteurs: Nina Grgić-Hlača, Christoph Engel, Krishna P. Gummadi
Publié dans: Proceedings of the ACM on Human-Computer Interaction, Numéro 3/CSCW, 2019, Page(s) 1-25, ISSN 2573-0142
Éditeur: ACM
DOI: 10.1145/3359280

Toward Fair Recommendation in Two-sided Platforms

Auteurs: Arpita Biswas; Gourab K. Patro; Niloy Ganguly; Krishna P. Gummadi; Abhijnan Chakraborty
Publié dans: ACM Transactions on the Web, Numéro 24, 2021, ISSN 1559-114X
Éditeur: ACM
DOI: 10.1145/3503624

On the Fairness of Time-Critical Influence Maximization in Social Networks

Auteurs: Junaid Ali; Mahmoudreza Babaei; Abhijnan Chakraborty; Baharan Mirzasoleiman; Krishna P. Gummadi; Adish Singla
Publié dans: IEEE Transactions on Knowledge and Data Engineering, Numéro 18, 2021, ISSN 1558-2191
Éditeur: IEEE
DOI: 10.1109/tkde.2021.3120561

Fairness constraints: A flexible approach for fair classification

Auteurs: Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P Gummadi
Publié dans: The Journal of Machine Learning Research, 2019, ISSN 1532-4435
Éditeur: MIT Press

Search bias quantification: investigating political bias in social media and web search

Auteurs: Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios
Publié dans: Information Retrieval Journal, Numéro 22/1-2, 2019, Page(s) 188-227, ISSN 1386-4564
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10791-018-9341-2

Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking

Auteurs: Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi
Publié dans: IEEE Transactions on Computational Social Systems, 2021, Page(s) 1-12, ISSN 2329-924X
Éditeur: IEEE Systems, Man, and Cybernetics Society
DOI: 10.1109/tcss.2021.3096038

Other (1)

Responsible model deployment via model-agnostic uncertainty learning

Auteurs: Preethi Lahoti; Krishna Gummadi; Gerhard Weikum
Publié dans: Special Numéro on Safe and Fair Machine Learning, Numéro 25, 2022
Éditeur: Springer Link
DOI: 10.1007/s10994-022-06248-y