FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency Fairness, Equality, and Power in Algorithmic Decision-Making. In your response, Please address the degree to which the following statements apply to this work. 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. Competitive equilibrium from equal incomes (CEEI) is a We map the recently proposed notions of algorithmic fairness to economic models of Equality of opportunity (EOP)---an extensively studied ideal of fairness in political philosophy. The cross-disciplinary review is intended to provide insight from a different field about the potential broader impact of the work, context for the stated claims and related work (in areas/field beyond the direct one of the submission), and constructive feedback and potential concerns from a different perspective. If necessary, this can be escalated to the PC chairs. This topic has received extensive attention We study the problem of learning fair prediction models for unseen test sets distributed differently from the train set. their submission by the stated deadline will be unable to submit their It builds on the success of the 2020 conference held in Barelona, and is the first conference under the new name! (Acceptance rate: 24%) [C3] Charles Marx*, Richard Phillips*, Sorelle A. Friedler, Carlos Scheidegger, and Suresh Venkatasub-ramanian. Instead, meanings range from typical or characteristic, to a proportionate match between sample and population, to a more Government agencies are embracing machine learning to support a variety of resource allocation decisions. Your overall assessment should reflect whether you believe the paper merits acceptance except for minor revisions. ACM FAT * is an international and interdisciplinary peer-reviewed conference that seeks to publish and present the best work examining the fairness, accountability, and transparency of algorithmic systems. The work situates itself in the context of related work. Confidentiality of submitted material will be This dichotomy undermines efforts to make algorithmic systems more fair, transparent, and accountable. include a subsection describing these issues. This typically corresponds to about 8,000 words for the main insufficiently addressed issues in computing such as: How do algorithmic The PC will take a broad view of what constitutes an ethical concern, and authors agree to be available at any time during the review process to rapidly respond to queries from the PC regarding ethical considerations. Submissions that do not comply with this policy will be Note: If you feel that your confidence rating is likely to be a 1 at the end of a review due to your lack of expertise in the given subject area, you should notify the Track Chair as early as possible in the process. Authors of all accepted papers must present their work at the FAccT 2022 conference, regardless of whether their paper is archival or non-archival. FAccT* also welcomes full paper submissions that extend previously published short papers or abstracts, even if they appeared in formal proceedings, if the previously published version does not exceed 4 pages in length. avoid precluding the future submission of these papers to Extensions of workshop papers: ACM FAccT welcomes submission of work that has previously appeared in non-archival venues such as workshops without formal proceedings. Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. formatting rules, or papers exceeding the specified page length, may be Werbach K Panopticon Reborn: Social Credit as Regulation for the Age of AI. You will be asked to provide an Overall Score and a Confidence Score (see below for details) for each submission. For IL , personal and professional concern, but also a perennial focus of FAccT To that end, if you need to cite existing work, please be as precise as possible and give a complete citation. Please describe and consider the strengths of the submission. Authors of all accepted papers must 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. Recent research taking issue with such opacity has proposed standardized processes for dataset documentation. These works may be submitted as-is or in an extended the same reviewing rubric as all papers. welcome scholarship in dialogue with fairness, accountability, and Providing thorough peer reviews/cross-reviews for the track chair to, understand the submission at a high level, and. We unlock the potential of millions of people worldwide. Please provide a Confidence Score between 1 and 5 for each submission, which concerns the level of confidence you have in your own expertise regarding the topic of the submission. The ACM CHI Conference on Human Factors in Computing Systems (or CHI as it's typically called) is the premier international conference for the field of Human-Computer Interaction (HCI). These reviews . Humans are the final decision makers in critical tasks that involve ethical and legal concerns, ranging from recidivism prediction, to medical diagnosis, to fighting against fake news. DO NOT talk to anyone about specific submissions, reviews, or discussions of papers that you reviewed after decisions have been announced. perspectives on fairness? effort by your area selections and the abstract of your paper. Author responses: After receiving reviews, authors will have a brief period to offer responses to the reviews. Reviewers will not be told whether submissions under review are archival or not, to avoid influencing their evaluations. This years conference The following are suggestions only: The deadline for uploading videos will be on 27th May (Friday) AOE. May 8-13, 2021 Yokohama, Japan May 8-13, 2021 Online Virtual Conference . U.S. policy starts showing an interest in AI The fourth annual ACM FAccT conference will take place online March 3-10, 2021. And stay tuned for updates by following @facctconference. 2021. FAccT is an ACM conference and as such, we will review papers in alignment with the Your comments should include the following sections: Please comment on and take into account the strengths of the submission. FAccT '23: 2022 ACM Conference on Fairness, Accountability, and Transparency June 27 - 30, 2023 Chicago , IL , USA FAccT '23 website Bibliometrics Citation count 2,481 Downloads (6 weeks) 2,104 Downloads (12 months) 18,888 Downloads (cumulative) 84,968 Citation count 2,481 Downloads (6 weeks) 2,104 Downloads (12 months) 18,888 The latest data we have shows there are 11,240 reviews in the system. Welcome to the 2021 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2021) submissions site. Claims are well supported by theoretical analysis, evidence, argument, and/or experimental results. network information), must follow basic precepts of ethical research and 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). Copyright 2023 ACM, Inc. Conference-length (8-10 pages) versions of papers that are We understand ACM guidance is confusing during this transition year and will review incorrectly formatted subsmissions accordingly. Ask yourself, Do the other reviewers' comments make sense?" There are lots of free options available, here are just a few suggestions: Please try to make your presentation accessible for all. Authors are also responsible for appendices) with their submission, but reviewers will not be required to Submitted papers must be 8-10 content. scholarship. Those who do not pre-register their submission by the stated deadline will be unable to submit their paper to ACM FAccT. ACM conference and as such, we will review papers in alignment with the Algorithmic oppression is then situated through a Black feminist lens part of which entails highlighting the double bind of technology. Email Forgot your password? computing in particular. Authors are required to pre-register their papers through the submission site by submitting a tentative title and abstract and specifying their submission area(s) by December 15, 2021. The submission addresses a problem in a better way than previous work, or advances the state of the art in a demonstrable way. For example, if using slides, bright white slide backgrounds can make text harder to read; choose an off-white or cream background instead. If the This is partly due to the fact that most fairness metrics of interest depend on both the sensitive attribute information and label information of the data points. The use of counterfactuals for considerations of algorithmic fairness and explainability is gaining prominence within the machine learning community and industry. ensuring that submitting to FAccT would not be in violation of the Archival vs. Non-archival Submissions ACM FAccT 2023 offers authors the choice of archival and non-archival paper submissions: 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. (Acceptance rate: 16%) 11. Please provide an Overall Score for each submission. It is useful for the Track Chairs and Program Chairs if you include a list of arguments for and against acceptance. Submissions will then be allocated based on HotCRPs assignment algorithm. Extensions of ACM FAccT 2022 [Distinguished Paper Award] (acceptance rate: 25%) D. Fu, L. Fang, R. Maciejewski, V. Tovik, and J. Contrastive Learning with Complex Heterogeneity. In keeping with our roots in computing, we appreciate both systems and ethnic studies, migration studies, work on disability and other Once the peer-reviews are in, the Track Chair decides on whether or not the paper will receive a cross-disciplinary review based on its initial peer review score. In this case, the authors should not cite the report, so as to preserve anonymity. These workflow and formatting changes will improve We welcome submissions in the following areas: We especially welcome contributions that incorporate perspectives and investigations on FAccT that are relevant to or grounded in the cultures, norms, laws, and/or sociopolitical systems from regions that are usually not featured prominently at FAccT, which has so far been composed mainly of North American and European scholarship. Authors must omit their names and affiliations to ensure that authors receive high quality feedback on their submissions. and do consider changing your mind in light of their comments, if appropriate. If you have a question about the reviewing system, your primary point of contact should be the PC Chairs. One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision. This will allow us to find an alternate reviewer who will be better able to assess the submission. Other support for diversity, equity and inclusion at FAcct 2022 will be announced. If you have thoughts and suggetions about this years conference, please fill out this form or be in touch by emailing the ACM FAccT 2021 General Co-chairs William Isaac, Madeleine Clare Elish, and Richard Zemel at general-chairs@facctconference.org. The submission adequately informs the reader about the research.

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