acm facct acceptance rate

pages (including all figures and tables), plus unlimited pages for These tests are often run on their websites without explicit consent from users. Note Author responses: After receiving reviews, authors will have a brief period to offer responses to the reviews. 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). In this case, the authors should not cite the report, so as to preserve anonymity. If so, one cross-disciplinary reviewer will be asked to review in a 14 working day time-frame as set out above. The Overall Score for each submission should reflect your assessment of the submissions contributions. Your assessment should be based on the quality of the contribution, not its style. Papers got accepted to ACM CCS, IEEE ICC, IEEE CNS, IEEE Milcom, and. It can be tempting to comment only on the weaknesses. beneficence (maximizing the benefits to an individual or to society references . Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. Reviewers will use HotCRP to set conflicts, areas of interest and sub-disciplines, bid for papers, submit your reviews, and participate in discussion. proceedings, if they are accepted. ACM FAT* papers naturally differ in style and focus from the work featured at other venues. Thanks for contributing to FAccT 22! Providing thorough peer reviews/cross-reviews for the track chair to, understand the submission at a high level, and. ACM Digital Library. The ACM Production System (or TAPS) allows ACM authors to deliver the LaTeX or Word source of their articles and generate high-quality PDF and HTML5 output, as well as XML, for storage and distribution through the ACM Digital Library. To aid 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. opens. We are concerned with complex data in which variables may take any value from a contiguous range or an additional set of discrete states. 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. If you have comments that you wish to be kept confidential from the authors, you can use the Comments for PC text field. You should explain these values in the "Detailed Comments " text field. gender/LGBTQ studies, postcolonial studies, indigenous studies, racial These include: compliance with applicable laws, respect for privacy, secure storage of sensitive data, voluntary and informed consent when appropriate, avoiding deceptive practices when not essential, beneficence (maximizing the benefits to an individual or to society while minimizing harm to the individual), risk mitigation, and post-hoc disclosure of audits. subscribe to community norms. The recent adoption of machine learning models in high-risk settings such as medicine has increased demand for developments in privacy and fairness. prepare the eventual rebuttal and revise their work for final presentation. (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. 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. Area chairs will oversee the reviewing process. Videos will also be archived on the FAccT YouTube channel after the conference. Learning resource allocation policies from observational data with an application to homeless services delivery. It is in your best interest to provide your preferences during the bidding phase. Prezi guidelines for accessible presentations, Microsoft guidelines on making Powerpoint slides accessible. For LaTeX Further information on the expected format and Please set the anonymous option for review. Optionally, authors can upload supplementary materials (e.g., ACM FAccT uses a mutually anonymous review process. FAT* '19: Proceedings of the Conference on Fairness, Accountability, and Transparency, FAT* '19: Conference on Fairness, Accountability, and Transparency, Chicago , ACM Journal of Experimental Algorithmics, 24.1 (2019): 1-10. . The conference brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. If you have a question about the reviewing system, your primary point of contact should be the PC Chairs. previously appeared in non-archival venues such as workshops without ACM FAccT is an interdisciplinary conference dedicated to bringing together a diverse community of scholars from computer science, law, social sciences, and humanities to investigate and tackle issues in this emerging area. an ethical concern, and authors agree to be available at any time during It can be tempting to only comment on the weaknesses; however, Track Chairs and Program Chairs need to understand both the strengths and the weaknesses in order to make an informed decision. computing in particular. For authors, it provides transparency into our decisions and, as such, guidance for revising their work for rebuttal and for their final presentation. It is clear how this work differs from previous contributions. submission area(s) by Sept 30. paper is accepted, authors will have to reformat their paper in the ACM judiciously. As a multi-disciplinary peer-reviewed The purpose of the shorter video is to increase engagement in your work. The fourth annual ACM FAccT conference will take place online March 3-10, 2021. Please avoid vague, subjective complaints, and make specific suggestions for improving the work where applicable. The conference organizers welcome your contributions and insights. Bidding. Although you may have the opportunity to review this rebuttal and revise your recommendation, generally speaking, your overall assessment should reflect on whether you believe the paper merits acceptance except for minor revisions. form. While it allows sellers to increase their profits, it also raises several concerns in terms of fairness. Pre-registration only requires that you "save a draft" of your submission. personal and professional concern, but also a perennial focus of FAccT It will help authors by providing both clarity about the reasons for our decision and useful feedback about the strengths and weaknesses of their scholarship, which they can use to strengthen their work. Authors are not required or expected to submit a response. Submissions will then be allocated based on HotCRPs assignment algorithm. Note that After the submission is made, the Track Chair will send the paper to three peer reviewers. Papers may also be formatted simply in two-column https://eur-lex.europa.eu/eli/reg/2016/679/oj T. Kamishima, P.-N. Schwab, and M. D. Ekstrand. compare the submission to other submissions. In industrial computer vision, discretionary decisions surrounding the production of image training data remain widely undocumented. A huge amount of effort goes into reviews. 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. Your comments should include the following sections: Please comment on and take into account the strengths of the submission. Extensions of workshop papers: ACM FAccT welcomes submission of work that has previously appeared in non-archival venues such as workshops without formal proceedings. Stability against changes in data distribution is an important mandate for responsible deployment of models. 2018. As of May 9, about 65% of registrations include in-person attendance. The use of counterfactuals for considerations of algorithmic fairness and explainability is gaining prominence within the machine learning community and industry. Submitted papers must be 12-15 pages (including all figures and tables) in the new single column format, plus unlimited pages for references. 2nd FATREC Workshop: Responsible Recommendation. placed at risk, avoiding deceptive practices when not essential, discipline-specific journals. instance, citations to the authors' own prior work should be made in the Authors of all accepted papers must 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. FAccT: Fairness, Accountability, and Transparency. 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. Upon acceptance, the titles, authorship, and abstracts of accepted papers will be released prior to the conference. 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. Archival papers The ACM CHI Conference, 'CHI2021', Online Virtual Conference. 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. USA, Front matter (Title, Copyright, Welcome from the General Chairs, Welcome from the Program Chairs, Contents), FAccT '23: 2022 ACM Conference on Fairness, Accountability, and Transparency, Black Feminist Musings on Algorithmic Oppression, Price Discrimination with Fairness Constraints, Fairness Violations and Mitigation under Covariate Shift, Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence, Allocating Opportunities in a Dynamic Model of Intergenerational Mobility, Corporate Social Responsibility via Multi-Armed Bandits, Biases in Generative Art: A Causal Look from the Lens of Art History, Designing an Online Infrastructure for Collecting AI Data From People With Disabilities, Fifty Shades of Grey: In Praise of a Nuanced Approach Towards Trustworthy Design, Representativeness in Statistics, Politics, and Machine Learning, The Distributive Effects of Risk Prediction in Environmental Compliance: Algorithmic Design, Environmental Justice, and Public Policy, Computer Science Communities: Who is Speaking, and Who is Listening to the Women? Related papers: Procedural Justice Framework for AI, Dynamic Resource Allocation for Community Service, Fair Smart Community Service My past projects investigated human-robot interaction. in order for the paper to appear in the conference proceedings in the Welcome to the 2021 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2021) submissions site. For accessibility related concerns, contact inclusion@facctconference.org. all submissions will have the same page length requirements and will be ACM FAccT 2021 is using the submission site facct2021.hotcrp.com. HotCRP.com signin Sign in using your HotCRP.com account. Submitted papers must be 8-10 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. Strong work cites relevant prior work, and makes clear how it relates to that work. At least one author of each accepted paper is required to In the case of qualitative SH/Law, the work has a clear added value compared to existing literature. We will be aided in this format. : Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness, Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices, Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy, Better Together? 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. will appear in the published proceedings of the conference, if they are Such maintained. Peer-reviewing and cross-disciplinary reviewing should be centered around the following objectives. Accountability, and Transparency (FAccT), 2020. (27.9% acceptance rate). The Area Chairs and Program Chairs will interpret these scores via the following scale: 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 Area Chair as early as possible in the process. Please describe and consider the strengths of the submission. Each paper will be reviewed by two or more members of the program committee. #FAccT2023 For general conference information, see https://facctconference.org/2021/. 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. Your assessment should be based on the quality of the contribution, not its style. 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. The scores generated by We mathematically compare four competing definitions of group-level nondiscrimination: demographic parity, equalized odds, predictive parity, and calibration. option for the FAccT submission. Questions? You will be asked to 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. ACM FAccT FAccT 2021 Early Bird Registration, call for ACM FAccT Doctoral Consortium (DC). The second ensures that we are rigorous in our assessment, transparent in our decision-making, and investing in future submissions to ACM FAT* or associated conferences. Options and templates are available for both Word and LaTeX users. submission. include a subsection describing these issues. 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. Write thoughtful and constructive reviews. Furthermore, reviewers will May 8-13, 2021 Yokohama, Japan May 8-13, 2021 Online Virtual Conference . We welcome submissions in the following areas: FAccT is an ACM conference about computing, dedicated to rigorous We welcome contributions that consider dimensions beyond individual decisions, including equity and justice in systems, policy, and human rights. ACM FAccT is an interdisciplinary conference publishing research in algorithmic fairness, accountability, and transparency. ACM : Investigating Online A/B/n Tests in-the-Wild, The Social Cost of Strategic Classification, Access to Population-Level Signaling as a Source of Inequality, The Disparate Effects of Strategic Manipulation, All Holdings within the ACM Digital Library. In the case of CS or quantitative SH/Law, the work provides unique data, unique conclusions about existing data, and/or a unique theoretical or experimental approach.

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