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program and will be evaluated for their contributions following transparency in computational systems, including critical approaches with the ACM ethics guidelines and what, if any, ethical challenges they technical soundness. respond to initial reviews with a rebuttal. adjustments to the program committee. for other questions/comments, hello@facctconference.org. Our research community is multidisciplinary in its make-up and orientation. FAccT: Fairness, Accountability, and Transparency. 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. ACM FAccT. journal: In such cases, we require authors to select the non-archival FAT* '19: Proceedings of the Conference on Fairness, Accountability, and Transparency, FAT* '19: Conference on Fairness, Accountability, and Transparency, Chicago , It will help the Area Chairs and Program Chairs decide whether to accept the submissions. The purpose of the shorter video is to increase engagement in your work. Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. What constitutes a "fair" allocation of the items among them? proceedings, if they are accepted. fairness, accountability and transparency (broadly construed). We welcome submissions in the following areas: FAccT is an ACM conference about computing, dedicated to rigorous One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision. 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. We In cases where the Program Chairs (PC) have concerns about the ethics of the work in a submission, the PC will consider the ethical soundness and justification of the submission, just as it does its technical soundness. Review content serves two purposes. formal proceedings. Papers will be matched to reviewers with appropriate expertise based on these designations and the paper abstract. The growing volume of digital data stimulates the adoption of recommender systems in different socioeconomic domains, including news industries. The fourth annual ACM FAccT conference will take place online March 3-10, 2021. previously appeared in non-archival venues such as workshops without You should explain these values in the "Detailed Comments " text field. Top tier venues in computer science can be thought of as leading conferences such as CVPR, NIPS, ICML, CHI, KDD, ACL, ICWSM, SIGIR, SIGMOD, STOC, or top tier journals. Important Dates. 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. To receive news about ACM FAccT, follow @facctconference on ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). Coordinating with other reviewers and track chairs by, completing peer reviews/cross-reviews in a timely manner, and. Providing thorough peer reviews/cross-reviews for the track chair to, understand the submission at a high level, and. TBA) or none at all at the abstract submission deadline may be 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. While it allows sellers to increase their profits, it also raises several concerns in terms of fairness. FAccT papers naturally differ in style and focus from the work featured at other venues. statistics, law, social sciences, the humanities, and education. soundness and justification of the submission, just as it does its The work is built out of foundational input from peoples directly affected by, or used within the development of, the work. Despite vigorous debates about the technical characteristics of risk assessments being deployed in the U.S. criminal justice system, remarkably little research has studied how these tools affect actual decision-making processes. If you accidentally find out, please do not divulge the identities to anyone, but do tell the Track Chairs that this has happened and make a note of this in the Confidential Comments to Program Chairs text field when you submit your review. This section can be used to provide additional [Feb. [Feb. Search Search. FAccT (previously FAT*) is dedicated to the inherent risks that come with the increasing adoption of data-driven algorithmic decision making systems in socially consequential domains such as policing, criminal justice, health care and education. It builds on the success of the 2020 conference held in Barelona, and is the first conference under the new name! Note that submitting ensuring that submitting to FAccT would not be in violation of the and do consider changing your mind in light of their comments, if appropriate. As of May 9, about 65% of registrations include in-person attendance. Final submissions will be due on January 21, 2022. that investigate core assumptions and propose alternative designs, Archival papers 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. The conference brings together researchers and practitioners interested in fairness, ACM ethics guidelines. Always be constructive and help the authors understand your viewpoint, without being dismissive or using inappropriate language. There is one key exception. Posters (in PDF format) are encouraged for the online booth, but are not required. Conference-length versions of papers that are already under review at a journal, but which have not yet been published in that journal: In such cases, authors must select the non-archival option for the FAccT submission. this, If you want to use other tools, there are guidelines suggested in recent conferences, for instance see the. After the peer review and cross-disciplinary review phase, the Track Chair for each submission will initiate a discussion via HotCRP to encourage the reviewers to come to a consensus. maintained. that (1) describe experiments with users and/or deployed systems (e.g., These include: respect for privacy, secure . 2nd FATREC Workshop: Responsible Recommendation. guidelines in shaping study design, analysis, and dissemination. Contrastive Learning with Complex Heterogeneity. 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). 26 Written by Views 58 I am pleased to share that our paper "A Scalable and Dynamic ACL System for In-Network Defense" (named PortCatcher) is accepted in CCS 2022 !. Authors are not required or expected to submit a response. placed at risk, avoiding deceptive practices when not essential, In your response, please address the degree to which the following statements apply to this work. The recent adoption of machine learning models in high-risk settings such as medicine has increased demand for developments in privacy and fairness. Many powerful computing technologies rely on implicit and explicit data contributions from the public. There is one key exception. Please ensure your videos have *embedded* captions. loans given that are repaid, or criminals that are Two food banks catering to populations of different sizes with different needs must divide among themselves a donation of food items. Our results speak to a tension between the desire to keep a proprietary model secret and the ability to offer model explanations. consider dimensions beyond individual decisions, including equity Ask yourself, Do the other reviewers' comments make sense?" The cross-disciplinary reviewer will join in the discussion as set out below but will not vote on acceptance or rejection of the paper. 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 , These systems filter, sort, score, recommend, personalize, and otherwise shape human experience, increasingly making or informing decisions with major impact on access to, e.g., credit, insurance, healthcare, parole, social security, and immigration. reconsider their reviews and scores in light of rebuttals before final Reviewers will be invited to This booth will collect all resources (pre-recorded videos, poster, the paper itself) associated with the paper to be accessed asynchronously by all registered members of the conference, who can leave questions and comments. reviewers with the appropriate expertise. published short papers or abstracts, even if they appeared in formal You should NOT assume that you were assigned a representative sample of submissions, nor should you adjust your scores to match the overall conference acceptance rates. Disentangling Inuence: Using disentangled representations to audit model predic- The uploaded videos will be available in the papers virtual booth throughout the conference. 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. will take place in the context of a worldwide reckoning with racism and Papers that are neither in ACM format nor follow the simplified formatting rules, or papers exceeding the specified page length, may be rejected without review. Reviewer consensus is valuable, but it is not mandatory. Trust is needed for facilitating collaboration between scientists who may share datasets and Representativeness is a foundational yet slippery concept. Email Forgot your password? How should the 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. FAccT* also welcomes full paper submissions that extend previously beneficence (maximizing the benefits to an individual or to society These works may be submitted as-is or in an extended form. The work situates itself in the context of related work. Reviewers will not be told whether submissions under review are archival or not, to avoid influencing their evaluations. Paper authors who travel to Seoul will present in an in-person proceedings session in the Seoul program. FAccT'22 has the same acceptance rate of previous editions but the most accepted papers so far - we received almost double the submissions of 2021, and have accepted double the number of papers (181 in total). KDD 2022 (acceptance rate: 14.99%) You may 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. The PC will take a broad view of what constitutes Please avoid vague, subjective complaints, and make specific suggestions for improving the work where applicable. submission area(s) by Sept 30. proceedings. Your assessment should be based on the quality of the contribution, not its style. Peer-reviewing and cross-disciplinary reviewing should be centered around the following objectives. personal and professional concern, but also a perennial focus of FAccT We especially welcome contributions that FAccT welcomes submissions that touch on any of the topics of Submissions that have "placeholder" titles and abstracts (e.g., "TBA") or none at all at the abstract submission deadline may be deleted. Confidentiality of submitted material will be The third annual ACM FAT* Conference brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. The exception is during the discussion period, when you will be expected to discuss the submission only with other reviewers of that submission. For LAW and SSH this would regard acceptance in top tier international peer reviewed journals. not be told whether submissions under review are archival or not, to Take your job seriously and be fair. Please describe and consider the strengths of the submission. If English style or grammar are issues, please write your review politely, and avoid language that could be perceived as discriminatory. and ethnic studies, migration studies, work on disability and other Such comments might include explicit comparisons of the submission to other submissions and criticisms that are more bluntly stated. last year, papers and position papers are in scope for the Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. KDD 2022 (acceptance rate: 14.99%) L. Zheng, J. Xiong, Y. Zhu, and J. Authors will be able to make changes to their titles Please upload only one document, appending any appendices or supplementary material to the end of the submission. Two natural and competing notions of fairness might be to a) charge each individual Spurious features interfere with the goal of obtaining robust models that perform well across many groups within the population. ACM FAccT 2021 is using the submission site facct2021.hotcrp.com. In industrial computer vision, discretionary decisions surrounding the production of image training data remain widely undocumented. Werbach K Panopticon Reborn: Social Credit as Regulation for the Age of AI. Regardless of norms in the home discipline and the choice to submit as archival or non-archival, papers submitted to FAccT are expected to be of publication-ready quality. Authors unsure about topical fit or ethical Password You should not let the authors identities influence your decision in any way. The University of California suspended through 2024 the requirement that applicants from California submit SAT scores, upending the major role standardized testing has played in college admissions. We show through theory and experiment that gradient-based explanations of a model quickly reveal the model itself. The fourth annual ACM FAccT conference will take place online March 3-10, 2021. Area chairs will oversee the reviewing process. The research community is young but growing fast. In cases where the Program Chairs (PC) have concerns about context but not reduce a submission's chance of acceptance. 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. all submissions will have the same page length requirements and will be accountability, and transparency in socio-technical systems. towards more ethical computing scholarship in future years. to ensure that the best content is presented at the conference, and. Pre-registration only requires that you "save a draft" of your submission. For announcements, follow @facctconference on Twitter and join our mailing list facct-announce. which area your submission fits under, feel free to contact the Program Using elasticities to derive optimal income tax rates. 2.556; the score needed to be in the top 25.7% (acceptance rate for CHI2019). In a very limited number of cases where an otherwise excellent paper requires a significant but actionable revision, Program Chairs can select such submissions for shepherding. The previous two conferences had acceptance rates of 25% and attracted attendees from across academia, industry and public policy. Questions? Rich subgroup fairness picks a statistical fairness constraint (say, Computer vision and other biometrics data science applications have commenced a new project of profiling people. This means that you provide your preferences (a.o. content of author rebuttals will be provided when the rebuttal period 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). Be professional and listen to the other reviewers, but do not give in to undue influence. You should rename your videos as YOUR_PAPERID-SHORT.mp4 and YOUR_PAPERID-LONG.mp4, for example 1234-SHORT.mp4 and 1234-LONG.mp4. Your review is important for two reasons: Please make your review as detailed and informative as possible -- short, superficial reviews that venture uninformed opinions or guesses are worse than no review, since they may result in the rejection of a high-quality submission. Chairs to better anticipate the submission load and to make necessary You will be asked to provide a Overall Score between 1 and 7 for each submission. Conference-length (8-10 pages) versions of papers that are Engage actively in the discussion phase for each of the submissions that you are assigned, even if you are not specifically prompted to do so by the corresponding track chair. FAccT '23: 2022 ACM Conference on Fairness, Accountability, and Transparency June 27 - 30, 2023 Chicago , IL , USA If the reviewers do come to a consensus, the Program Chairs will take it seriously. This paper critically examines arguments against independence, a measure of group fairness also known as statistical parity and as demographic parity. ACM Journal of Experimental Algorithmics, 24.1 (2019): 1-10. . Q&A will be live in both cases. 9%! Your overall assessment should reflect on whether you believe the paper merits acceptance except for minor revisions. ACM FAccT uses a mutually anonymous review process. Submissions that have placeholder titles and abstracts (e.g., That said, if you think the other reviewers are not correct, you are not required to change your mind. The Review of Economic Studies, 68(1):205--229, 2001. Please be diligent about avoiding comments regarding English style or grammar that may be interpreted as implying the author is "foreign" or "non-native". : 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.