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Opportunities such as higher education can promote intergenerational mobility, leading individuals to achieve levels of socioeconomic status above that of their parents. It builds on the success of the 2020 conference held in Barelona, and is the first conference under the new name! ACM Conference on Fairness, Accountability, and Transparency 2022 (ACM FAccT 2023) Call For Papers. Authors are required to pre-register their papers through the submission 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. When appropriate, authors are encouraged to 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. submissions violate our dual submission policy and will be removed from Confidentiality of submitted material will be Videos will be manually reviewed before being posted to Hopin; videos without adequate captions or that present other serious accessibility concerns will be returned for revision. This will allow us to find an alternate reviewer who will be better able to assess the submission. We show through theory and experiment that gradient-based explanations of a model quickly reveal the model itself. To aid Upon acceptance, the titles, authorship, and abstracts of accepted papers will be released prior to the conference. rejected without review. Non-archival papers will only appear as abstracts in the It will help the Area Chairs and Program Chairs decide whether to accept the submissions. Submissions that have "placeholder" titles and abstracts (e.g., "TBA") or none at all at the abstract submission deadline may be deleted. appendices) with their submission, but reviewers will not be required to Claims are well supported by theoretical analysis, evidence, argument, and/or experimental results. The work is a novel combination of well-known research. 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. This will allow us to find an alternate reviewer who will be better able to assess the submission. format. Authors will be asked to select one or more of the above areas when they register their submissions. papers will be released prior to the conference. and do consider changing your mind in light of their comments, if appropriate. 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. For example, if College A has 100,000 applicants and accepts 5,000 students, their acceptance rate is 5%. ACM ethics guidelines. FAccT '23: 2022 ACM Conference on Fairness, Accountability, and Transparency June 27 - 30, 2023 Chicago , IL , USA : 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? 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. Our assessments, publications and research spread knowledge, spark enquiry and aid understanding around the world. This process will enable the Program Chairs to better anticipate the submission load and to make necessary adjustments to the program committee. Meta-Learned Metrics over Multi-Evolution Temporal Graphs. For instance, citations to the authors' own prior work should be made in the third-person. We welcome contributions that consider dimensions beyond individual decisions, including equity and justice in systems, policy, and human rights. questions. 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. Archival and Non-archival Submissions. To receive news about ACM FAccT, follow @facctconference on Submitted papers must be 8-10 . The results or conclusions are important for the FAccT academic field. A variety of programs are available to embed captions into your videos. ACM ethics guidelines. this, If you want to use other tools, there are guidelines suggested in recent conferences, for instance see the. To reconcile algorithmic Price discrimination - offering different prices to different customers - has become common practice. 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. transparency in computational systems, including critical approaches judged by the same quality standards, regardless of whether the authors If using LaTeX, please use the template given in sample-manuscript.tex when downloading the latest version of the ACM LaTeX documents. Please note that in contrast to FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency Fairness, Equality, and Power in Algorithmic Decision-Making. with the ACM ethics guidelines and what, if any, ethical challenges they One should be 3-4 minutes long. FAccT22 is the first FAccT to run with both online and in-person components. Authors are not required or expected to submit a response. ACM FAccT solicits work from a wide variety of disciplines, including computer science, statistics, law, social sciences, the humanities, and policy, and multidisciplinary scholarships on fairness, accountability and transparency in computational systems (broadly construed). U.S. policy starts showing an interest in AI There is one key exception. Conference: 12-15 June 2022 Chicago, IL. placed at risk, avoiding deceptive practices when not essential, 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. that (1) describe experiments with users and/or deployed systems (e.g., Pre-registration only requires that you "save a draft" of your submission. FAT* '19: Proceedings of the Conference on Fairness, Accountability, and Transparency, FAT* '19: Conference on Fairness, Accountability, and Transparency, Chicago , Technical reports and pre-prints: ACM FAccT welcomes submission of work that is already available without peer reviewing as a technical report (e.g., in SSRN, arXiv, or similar). Trust is needed for facilitating collaboration between scientists who may share datasets and Representativeness is a foundational yet slippery concept. FAccT welcomes submissions that touch on any of the topics of The submission is clearly written and well organized. Ask yourself, Do the other reviewers' comments make sense?" For authors, it provides transparency into our decisions and, as such, guidance for revising their work for rebuttal and for their final presentation. 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. 9%! If you have a question about the reviewing system, your primary point of contact should be the PC Chairs. The PC will take a broad view of what constitutes The work appropriately represents the scholarship across cultural boundaries. 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. Contact the Program Co-chairs: program-chairs@facctconference.org. versions that are currently under review at another conference, have reconsider their reviews and scores in light of rebuttals before final We will use This section can be used to provide additional context but not reduce a submission's chance of acceptance. We Password avoid influencing their evaluations. Archival papers an ethical concern, and authors agree to be available at any time during 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. consider dimensions beyond individual decisions, including equity In this light, we especially welcome attention to research for approval by each authors institutional ethics review body Furthermore, reviewers will 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. above areas when they register their submissions. Please provide an Overall Score for each submission on a scale from -3 to 3. 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 uses a mutually anonymous review process. Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud, and Eric Rice. Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. the ethics of the work in a submission, the PC will consider the ethical usability and accessibility as well as support the longevity of ACM third-person. under review at a journal, but which have not yet been published in that that investigate core assumptions and propose alternative designs, 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. faced in their work. 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. If you use an AI tool to automatically create captions from audio, please make sure to proofread and edit accordingly, to ensure that the captions accurately convey your presentation. proceedings, if they are accepted. ACM FAccT uses a mutually 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. 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? 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. 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. FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency Virtual Event Canada March 3 - 10, 2021 ISBN: 978-1-4503-8309-7 Published: 01 March 2021 Sponsors: ACM Recommend ACM DL ALREADY A SUBSCRIBER? This paper critically examines arguments against independence, a measure of group fairness also known as statistical parity and as demographic parity. accepted. to ensure that the best content is presented at the conference, and. Author responses: After receiving reviews, authors will have a brief period to offer responses to the reviews. We will expand on this below. from submissions, and avoid obvious identifying statements. format, with one inch margins, 9 point Times New Roman font. 2.556; the score needed to be in the top 25.7% (acceptance rate for CHI2019). If you need to cite existing work to justify one of your comments, please be as precise as possible and give a complete citation. 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. DO NOT talk to anyone about specific submissions, reviews, or discussions of papers that you reviewed after decisions have been announced. In Proceed- on Fairness, Accountability, and Transparency, FAccT ings of the Fourteenth Workshop on Semantic Evalua- '21, page 610-623, New York, NY, USA. paper is accepted, authors will have to reformat their paper in the ACM Bedrock concepts in computer science---such China's Social Credit System (SCS, or shehui xinyong tixi) is expected to become the first digitally-implemented nationwide scoring system with the purpose to rate the behavior of citizens, companies, and other entities. Each paper will be reviewed by members of the program committee. Papers that are neither in ACM format nor follow the simplified This typically corresponds to about 7,500 words for the main content. These works may be submitted as-is or in an extended It will help the Area Chairs and Program Chairs decide whether to accept the submissions. not submit papers that are identical, or substantially similar to This algorithm uses both your topic preference as well as the order of your preferences to determine assignments. Final submissions will be due on January 21, 2022. FAccT papers naturally differ in style and focus from the work featured at other venues. 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. subscribe to community norms. 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. ACM discipline-specific journals. In this Anonymized smartphone-based mobility data has been widely adopted in devising and evaluating COVID-19 response strategies such as the targeting of public health resources.