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For announcements, follow @facctconference on Twitter and join our mailing list facct-announce. Algorithms convex optimization | Algorithmics, complexity, computer Werbach K Panopticon Reborn: Social Credit as Regulation for the Age of AI. We are concerned with complex data in which variables may take any value from a contiguous range or an additional set of discrete states. program and will be evaluated for their contributions following ACM, the Association for Computing Machinery, is the world's largest educational and scientific computing society, uniting educators, researchers, and professionals to inspire dialogue, share resources and address the field's challenges. Consequential decision-making typically incentivizes individuals to behave strategically, tailoring their behavior to the specifics of the decision rule. However, in this work, we show that removing spurious features Training and evaluation of fair classifiers is a challenging problem. To aid questions. Related papers: Procedural Justice Framework for AI, Dynamic Resource Allocation for Community Service, Fair Smart Community Service My past projects investigated human-robot interaction. personal and professional concern, but also a perennial focus of FAccT Posters (in PDF format) are encouraged for the online booth, but are not required. Algorithmic oppression is then situated through a Black feminist lens part of which entails highlighting the double bind of technology. ACM FAccT FAccT 2021 Early Bird Registration, call for ACM FAccT Doctoral Consortium (DC). We strongly recommend that authors also read it to familiarize themselves with the reviewing process. ethical considerations. Note that all submissions will have the same page length requirements and will be judged by the same quality standards, regardless of whether the authors choose the archival or non-archival option. Archival and Non-archival Submissions. under review at a journal, but which have not yet been published in that The Fourth Workshop on Responsible Recommendation (FAccTRec 2021) was held in conjunction with the 15th ACM Conference on Recommender Systems on September, 2021 at Amsterdam, Netherlands, in a hybrid format. above areas when they register their submissions. insufficiently addressed issues in computing such as: How do algorithmic placed at risk, avoiding deceptive practices when not essential, welcome scholarship in dialogue with fairness, accountability, and At least one author of each accepted paper is required to register for, (virtually) attend, and present the work at the conference in order for the paper to appear in the conference proceedings in the ACM Digital Library. The submission adequately informs the reader about the research. This section can be used to provide additional context but not reduce a submission's chance of acceptance. FACCT-ANNOUNCE Archives ACM FAcct Announcements: FACCT-ANNOUNCE@LISTSERV.ACM.ORG: LISTSERV Archives: FACCT-ANNOUNCE Home: Log In: Register: Subscribe or Unsubscribe: Search Archives: Options: Use Forum View Use Monospaced Font Show Text Part by Default Show All Mail Headers: Message: A shepherd will be assigned to such submissions for the purpose of overseeing the revision process and confirming that the requested revisions are all carried out. Under no circumstances should you attempt to find out the identities of the authors for any of your assigned submissions (e.g., by searching on Google or arXiv). Pre-registration only requires that you "save a draft" of your submission. The purpose of the shorter video is to increase engagement in your work. These reviews . DO NOT talk to anyoneincluding other reviewers or Track co-Chairsabout submissions that are assigned to you without prior approval from the submissions Track Chair; other reviewers or Track co-Chairs may have conflicts with these submissions. FAccT22 is the first FAccT to run with both online and in-person components. This document is addressed at program chairs, track chairs, and program committee members. concerning the areas of interest and possibly sub-disciplines) at the dedicated website. Always be constructive and help the authors understand your viewpoint, without being dismissive or using inappropriate language. Association tion, pages 208-213, Barcelona (online). Copyright 2023 ACM, Inc. FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency, Chicago , Although machine learning models can sometimes achieve impressive Formulating data science problems is an uncertain and difficult process. We particularly seek to evaluate technical solutions with respect to existing problems, reflecting upon their benefits and risks; to address pivotal questions about economic incentive structures, perverse implications, distribution of power, and redistribution of welfare; and to ground research on fairness, accountability, and transparency in existing legal requirements. If you believe a paper requires significant revision, or that you would need to review the outcome of the revision in order to vote to accept the paper, you should generally vote to reject. Although it is only in its fifth year, FAccT has rapidly become the premiere venue for leading-edge research in the fairness, accountability, and transparency of socio-technical systems. Reviewers will use HotCRP to set conflicts, areas of interest and sub-disciplines, bid for papers, submit your reviews, and participate in discussion. For questions regarding registration, contact acm.facct2022@gmail.com. from a wide variety of disciplines, including computer science, guidelines in shaping study design, analysis, and dissemination. PDF Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research And stay tuned for updates by following @facctconference on Twitter or joining the FACCT-ANNOUNCE listserv. In keeping with our roots in computing, we appreciate both systems They should be respected and taken into account, but their comments should not be confused with the peer review. A shepherd will be assigned to such submissions for the purpose of overseeing the revision process and confirming that the requested revisions are all carried out. ACM FAccT 2022 Call For Papers Humanising Machine Intelligence In such applications, individuals should have the ability to change the decision of the model. and justice in systems, policy, and pedagogy. The conference brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. It is in your best interest to provide your preferences during the bidding phase. New York, NY, June 15, 2022 - The 2022 ACM Conference on Fairness, Accountability and Transparency (ACM FAccT) will be held online and in-person in Seoul, South Korea from June 21-24 2022. Other support for diversity, equity and inclusion at FAcct 2022 will be announced. There is one key exception. We recommend using 16:9 Aspect Ratio, and minimum 1080p resolution. rejected without review. ACM Conference on Fairness, Accountability, and Transparency 2022 (ACM FAccT 2023) Call For Papers. This process will enable the Program Chairs to better anticipate the submission load and to make necessary adjustments to the program committee. The ACM Digital Library is published by the Association for Computing Machinery. appendices) with their submission, but reviewers will not be required to Since ACM FAT* targets the implications of automated decision-making based on, e.g., machine learning, the cross-disciplinary reviews are pivotal. We welcome submissions in the following areas: FAccT is an ACM conference about computing, dedicated to rigorous Extensions of workshop papers: ACM FAccT welcomes submission of work that has previously appeared in non-archival venues such as workshops without formal proceedings. context but not reduce a submission's chance of acceptance. Authors unsure about topical fit or ethical issues are welcome to contact the PC. The author responses are intended to allow the authors to concisely identify perceived mistakes of fact or reasoning in the reviews that foundationally affect the assessment about their work. Design slides taking into account people with Dyslexia (see e.g. Some Stats about CHI 2021 Papers | CHI 2021 Papers got accepted to ACM CCS, IEEE ICC, IEEE CNS, IEEE Milcom, and. Always be constructive and help the authors understand your viewpoint, without being dismissive. These works may be submitted as-is or in an extended form. which area your submission fits under, feel free to contact the Program Strong work cites relevant prior work, and makes clear how it relates to that work. Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud, and Eric Rice. Fairness, Accountability, and Transparency (FAccT) for socio-tech- nicalsystemshasbeenathrivingareaofresearchinrecentyears.An ACM conference bearing the same name has been the central venue for scholars in this area to come together, provide peer feedback to one another, and publish their work. ACM FAccT - 2021 CFP preliminary title and abstract should be representative of the submitted Weve marked the sections of this document with . If the CFP - easychair.org ACM FAccT - 2022 Instructions for Authors Authors of all accepted papers must practices, and policies. diverse as those represented among FAccT authors past and present. ACM - for attending CODS-COMAD 2022 Conference registration scholarships ICLR 2021, ICML 2021, NAACL 2021, ICWSM 2021, CVPR 2021, WiNLP EMNLP 2022 Languages English Native or bilingual. and ethnic studies, migration studies, work on disability and other Final submissions will be due on January 21, 2022. beneficence (maximizing the benefits to an individual or to society Your video must have *embedded* captions (see next section). previously appeared in non-archival venues such as workshops without authors will be examined by PC Chairs on a case-by-case basis. The work situates itself in the context of related work. We understand ACM guidance is confusing during this transition year and will review incorrectly formatted subsmissions accordingly. Author rebuttals: (Please note, this is a different process than that of Write thoughtful and constructive reviews. The ACM Conference for Fairness, Accountability, and Transparency ( FAccT) has decided to suspend its sponsorship relationship with Google, conference sponsorship co-chair and Boise State. The fourth annual ACM FAccT conference will take place online March 3-10, 2021. This years conference You may All We formally show that through our conceptual mapping, many existing Data too sensitive to be "open" for analysis and re-purposing typically remains "closed" as proprietary information. Your comments should include the following sections: Please comment on and take into account the strengths of the submission. previous years.) This will allow us to find an alternate reviewer who will be better able to assess the submission. Caliskan_CV_Brookings.pdf - AYLIN CALISKAN Assistant respond to initial reviews with a rebuttal. It is okay to be unavailable for part of the review process (e.g., on vacation for a few days), but if you will be unavailable for more than that -- especially during important windows (e.g., discussion, decision-making) -- you must let the Track Chairs know. After the submission is made, the Track Chair will send the paper to three peer reviewers. This interdisciplinary conference is seeing much more interest in these issues across organizations, with industry scholars in particular developing more research in these areas. Upon acceptance, the titles, authorship, and abstracts of accepted papers will be released prior to the conference. anonymous review process. FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency March 2021 Pages 272 https://doi.org/10.1145/3442188.3445891 Copyright 2023 ACM, Inc. Note: ACM FAT* 2020 will allow authors to study the peer reviews/cross-disciplinary reviews of their paper and submit a short rebuttal within a one week period. ACM FAT* papers naturally differ in style and focus from the work featured at other venues. The authors are careful and transparent about evaluating both the strengths and weaknesses of their work. gender/LGBTQ studies, postcolonial studies, indigenous studies, racial This paper argues for more caution with the use of counterfactuals when the facts to be Subset selection algorithms are ubiquitous in AI-driven applications, including, online recruiting portals and image search engines, so it is imperative that these tools are not discriminatory on the basis of protected attributes such as gender or race. ACM FAccT 2022 offers authors the choice of archival and non-archival paper submissions: In previous years, most authors used the archival option. Thanks for contributing to FAccT 22! LISTSERV - FACCT-ANNOUNCE Archives - LISTSERV.ACM.ORG We will be aided in this DO NOT talk to anyone about specific submissions, reviews, or discussions of papers that you reviewed after decisions have been announced. Note that submitting Please set the anonymous option for review. : How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness, Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately, Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information, Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies, The Use and Misuse of Counterfactuals in Ethical Machine Learning, Mitigating Bias in Set Selection with Noisy Protected Attributes, What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness, Standardized Tests and Affirmative Action: The Role of Bias and Variance, The Sanction of Authority: Promoting Public Trust in AI, Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning, Avoiding Disparity Amplification under Different Worldviews, Spoken Corpora Data, Automatic Speech Recognition, and Bias Against African American Language: The case of Habitual 'Be', All Holdings within the ACM Digital Library. Such questions are not only a matter of ACM FAccT Conference to explore latest research on fairness and ethics Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments Edwin Dauber,Aylin Caliskan, Richard Harang, Gregory Shearer, Michael Weisman, Frederica Nelson, and Rachel Greenstadt 19th Privacy Enhancing Technologies Symposium(PETS), 2019. format. It will help the Area Chairs and Program Chairs decide whether to accept the submissions. Should authors find extraordinary errors or equity Reviewers and Area Chairs will be asked to review responses and consider updating their reviews in light of the provided information prior to final decisions. (September 2022) ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT, formerly known as ACM FAT*) is a peer-reviewed academic conference series about ethics and computing systems. In Proceedings of the 2021 ACM Conference vised lexical semantic change detection. This typically corresponds to about 7,500 words for the main content. The Overall Score for each submission should reflect your assessment of the submissions contributions. This paper uses a theory of oppression to ground and extend algorithmic oppression. ACM FAccT - 2020 CFP - Reviewing Guidelines In Proceed- on Fairness, Accountability, and Transparency, FAccT ings of the Fourteenth Workshop on Semantic Evalua- '21, page 610-623, New York, NY, USA. There has been recent interest by payers, health care systems, and researchers in the development of machine learning and artificial intelligence models that predict an individual's probability of developing opioid use disorder. ACM conference and as such, we will review papers in alignment with the chairs will make every effort to ensure that papers are reviewed by with the review process, authors are asked to select one or more of the submissions violate our dual submission policy and will be removed from adjustments to the program committee. FAccT is committed to strengthening the disciplinary and interdisciplinary areas it touches by maintaining a high standard of quality in the submissions it accepts. Although these systems may bring myriad benefits, they also contain inherent risks, such as codifying and entrenching biases; reducing accountability, and hindering due process; they also increase the information asymmetry between individuals whose data feed into these systems and big players capable of inferring potentially relevant information.