ACM FAccT Network

Upcoming Opportunities

These opportunities are upcoming and are currently accepting submissions:

• Now until 9/31: The Adversarial Nibbler Challenge is a competition to discover failure modes in generative text-to-image models; submit seemingly safe prompts that generate an unsafe image. Top leaderboard participants will be invited to collaborate on work describing their attack techniques and strategies and to present their approach in relevant venues or workshops.
• Ongoing reading group at The Institute of Humanity-centric AI (ELLIS Alicante), a virtual reading group for FAccT topics.

Upcoming Events and Publications

These events are upcoming; look out for their outcomes soon! Some events may still be open for participation.

• September 5-8: The 2023 Portuguese AI Conference has a themed track on Ethics and Responsibility in AI
• September 18-22: 6th FAccTRec Workshop on Responsible Recommendation as part of the 17th ACM Conference on Recommender Systems
• September 22: BIAS 2023 - Third Workshop on Bias and Fairness in AI at ECML in Torino, Italy
• September 26: Workshop on AI Systems for the Public Interest at KI2023, 46th German AI Conference in Berlin, Germany
• October 9: FairComp: International Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing at UbiComp 2023 in Cancún, Mexico
• November 10: 2nd Workshop on Human-Centric Music Information Research in Milano, Italy

Past Network Events

These opportunities have happened — look through them for interesting work!

• Symposium on April 28, 2023, "ChatLLM23: Large Language Models and Generative AI technologies" at the University of Sydney.
• Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023), a workshop at ECIR 2023.
• European Workshop on Algorithmic Fairness 2023 (EWAF’23) at ZHAW, Winterthur, Switzerland.
• Responsible Decision-Making in Dynamic Environments, a workshop to be held at ICML 2022.
• 5th FAccTRec Workshop: Responsible Recommendation, a workshop at RecSys 2022.
• Special Issue on Analytical Fairness in Health Care in Health Care Management Science.
• Special Issue on Fair and Explainable Information Access Systems for Social Good in Information Processing and Management
• Algorithmic Fairness through the Lens of Causality and Privacy, a workshop at NeurIPS 2022.
• Third International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2022), a workshop at ECIR 2022 (April 10, 2022).
• WebForGood/FATES, a track at The Web Conference, to be held April 25-26, 2022.
• Workshop on Trust and Reliance in AI-Human Teams (TRAIT), a workshop at CHI 2022 (April 30, 2022).
• QUARE 2022: The 1st Workshop on Measuring the Quality of Explanations in Recommender Systems, a workshop to be held at SIGIR 2022; papers due May 10, 2022.
• Fairness, Accountability, and Transparency in Educational Data (FATED 2022), a workshop to be held at EDM; papers due May 27, 2022.
• FairWare'22: International Workshop on Equitable Data and Technology, a workshop co-located with ICSE 2022 (May 9, 2022).
• The European Workshop on Algorithmic Fairness (EWAF), to be held on June 8-9, 2022.
• 1st Hybrid Human-AI Conference - Call for Workshops; this one is a little different, it is the call for workshops for a conference that expects a number of workshops to be relevant to FAccT topics. Workshops to be held on June 13-14, 2022.
• Fairness and Transparency in HRI, a workshop at the 2022 ACM/IEEE International Conference on Human-Robot Interaction.
• Algorithmic Fairness through the Lens of Causality and Robustness, a workshop at NeurIPS 2021 (Dec. 13, 2021).
• Political Economy of Reinforcement Learning (PERLS) Workshop, a workshop at NeurIPS 2021 (Dec. 14, 2021).
• Beyond Fairness: Towards a Just, Equitable, and Accountable Computer Vision, a workshop at CVPR 2021.
• Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2021), a workshop at UMAP 2021>.
• Social biases in machine learning and in human nature: What social scientists and computer scientists can learn from each other, a participatory workshop at Princeton.
• Responsible AI – Critical Perspectives on AI-infused Digitalization, a special issue of the Scandinavian Journal of Information Systems.
• Workshop on Outlier Detection and Description, a workshop at KDD 2021; this year's theme is on fairness and transparency in outlier detection.
• Actualizing AI regulation to build equity and trust, a symposium by EPIC.
• Third Workshop on on Fairness, Accountability, Transparency, Ethics and Society (FATES) on the Web, a workshop at The Web Conference 2021. [report]
• From "Explainable AI" to "Graspable AI", a workshop at TEI 2021.
• Workshop on Transparency and Explanations in Smart Systems (TExSS), a workshop at IUI 2021.
• Second International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2021), a workshop at ECIR 2021.
• Conference on Fair Medicine and Artificial Intelligence.
• Special Issue on Algorithmic Bias and Fairness in Search and Recommendation in Information Processing and Management.
• Mozilla Festival 2021.
• Special Issue of ACM Transactions on Accessible Computing (TACCESS) on AI Fairness and People with Disabilities.
• ACM TiiS Special Issue on Interactive Visual Analytics for Making Explainable and Accountable Decisions.
• The FATE of AI in Education special issue of the International Journal of Artificial Intelligence in Education (IJAIED).
• Workshop on Bias and Fairness in AI (BIAS 2021), a workshop at EMCL PKDD 2021.
• Accountability Mechanisms in Socio-Technical Systems, a special issue of the Journal of Responsible Technology.
• 4th FAccTRec Workshop on Responsible Recommendation, a workshop at RecSys2021.
• Bias and Fairness in AI, a special issue of the Springer Data Mining and Knowledge Discovery journal.
• Algorithmic Fairness through the Lens of Causality and Interpretability (AFCI), a workshop at NeurIPS 2020.
• 3rd FAccTRec Workshop on Responsible Recommendation, a workshop at RecSys 2020 (Sept. 26).
• BIAS 2020: Bias and Fairness in AI, a workshop at ECMLPKDD 2020 (September 18, 2020).
• Fairness, Accountability, and Transparency, in Educational Data (Mining), a workshop at the International Conference on Educational Data Mining.
• Law & Machine Learning Workshop, a workshop at ICML 2020.
• Participatory Approaches to Machine Learning, a workshop at ICML 2020.
• Workshop on Human Interpretability in Machine Learning (WHI), a workshop at ICML 2020.
• Bias in Automatic Knowledge Graph Construction, a workshop at AKBC 2020.
• Explainable User Models and Personalized Systems (ExUM), a workshop at UMAP 2020.
• Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2020), a workshop at UMAP 2020.
• International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2020), a workshop at ECIR 2020. [report]
• AI@Work, a workshop in Amsterdam (March 5-6, 2020).
• Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies, a workshop at IUI 2020 (March 17, 2020).
• 2nd Workshop on Fairness, Accountability, Transparency, Ethics, and Society on the Web (FATES 2020), a workshop at The Web Conference 2020 (Apr. 20-21, 2020). [report][videos][proceedings]
• Human-Centered Approaches to Fair and Responsible AI, a workshop at CHI 2020.
• HUMAINT Winter School on Fairness, Accountability, and Transparency in AI, in Seville, Spain the week before ACM FAT* 2020.
• Fair ML for Health, a workshop at NeurIPS 2019 (Dec. 14, 2019).
• Machine Learning for the Developing World: Challenges and Risks, a workshop at NeurIPS 2019 (Dec. 13, 2019). [proceedings] [session videos]
• Human-Centric Machine Learning, a workshop at NeurIPS 2019 (Dec. 13, 2019).
• Contestability in Algorithmic Systems, a workshop at CSCW 2019 (Nov. 9). [workshop report]
• AI Fairness for People with Disabilities, a workshop at ASSETS 2019 (Oct. 27, 2019)
• 1st Symposium on Biases in Human Computation and Crowdsourcing, a symposium to be held in Sheffield, UK (Oct. 21-22, 2019). [workshop report]
• Workshop on Designing Human-Centric MIR Systems, a workshop at ISMIR 2019 (Nov. 2). [proceedings]
• Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR) at SIGIR 2019 (July 25, 2019) [report]
• Responsible Computer Vision, a workshop at CVPR, held June 20, 2021.

• Fairness, Accountability, and Transparency in Machine Learning (FAT/ML), NIPS 2014, ICML 2015, DTL 2016, KDD 2017
• Fairness in User Modeling, Adaptation and Personalization (FairUMAP), UMAP 2018 and 2019
• International Workshop on Software Fairness (FairWare), ICSE 2018
• Workshop on Responsible Recommendation (FAT/Rec), RECSYS 2017 and 2018
• Workshop on Data and Algorithmic Bias, CIKM 2017
• Singapore Workshop on Fairness, Accountability and Transparency in AI and Big Data, 2017
• Ethics in Natural Language Processing, EACL 2017
• Workshop on Fairness, Accountability, and Transparency on the Web, WWW 2017
• Special Session on Explainability of Learning Machines, IJCNN 2017
• Workshop on Data and Algorithmic Transparency (DAT), 2016
• The Human Use of Machine Learning: An Interdisciplinary Workshop, IEEE SMC
• International Workshop on Privacy and Discrimination in Data Mining, IEEE ICDM 2016
• Machine Learning and the Law, NIPS 2016
• Interpretable Machine Learning for Complex Systems, NIPS 2016
• Workshop on Human Interpretability in Machine Learning, ICML 2016
• Workshop on the Ethics of Online Experimentation, WSDM 2016
• Auditing Algorithms From the Outside: Methods and Implications, ICWSM 2015
• Discrimination and Privacy-Aware Data Mining, IEEE ICDM 2012
• Workshop on Novelty and Diversity in Recommender Systems, ACM RECSYS 2011
• Governing Algorithms
• Auditing Algorithms NSF Workshop