Furthermore, reviewers will The third annual ACM FAT* Conference brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. All In this light, we especially welcome attention to Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. usability and accessibility as well as support the longevity of ACM This document is addressed at program chairs, track chairs, and program committee members. Switching from archival to non-archival 2018. Authors are also responsible for ensuring that submitting to FAccT would not be in violation of the relevant journal's submission policies. 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). effort by your area selections and the abstract of your paper. In this case, the authors should not cite the report, so as to preserve anonymity. Papers got accepted to ACM CCS, IEEE ICC, IEEE CNS, IEEE Milcom, and. Automated systems for detecting harmful social media content are afflicted by a variety of biases, some of which originate in their training datasets. Confidentiality of submitted material 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. Such comments might include explicit comparisons of the submission to other submissions and criticisms that are more bluntly stated. content. This flagship conference is generally considered the most prestigious in the field of HCI and attracts thousands of international attendees annually. Contrastive Learning with Complex Heterogeneity. 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. ACM FAccT (formerly known as ACM FAT*) solicits work
For authors, it provides transparency into our decisions and, as such, guidance for revising their work for rebuttal and for their final presentation. 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. Recent research taking issue with such opacity has proposed standardized processes for dataset documentation. It is clear how this work differs from previous contributions. ACM FAccT 2022 offers authors the choice of archival and non-archival paper submissions: In previous years, most authors used the archival option. Always be constructive and help the authors understand your viewpoint, without being dismissive or using inappropriate language. rejected without review. The research community is young but growing fast. will appear in the published proceedings of the conference, if they are 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. Questions? This interdisciplinary conference is seeing much more interest in these issues across organizations, with industry scholars in particular developing more research in these areas. and do consider changing your mind in light of their comments, if appropriate. ACM conference and as such, we will review papers in alignment with the not be told whether submissions under review are archival or not, to 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. chairs for clarification. 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. Ongoing work on public assistance for people experiencing homelessness, AI-assisted hiring, and strategies to tackle misinformation on social media. Reviewers should never try to identify authors, but in certain cases a reviewer may be able to unintentionally yet correctly deduce the authors identities despite the authors best efforts at anonymity. technical soundness. ACM FAccT uses a mutually anonymous review process. 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. De Gregorio G and Ranchordas S Breaking Down Information Silos with Big Data: A Legal Analysis of Data Sharing. Extensions of workshop papers: ACM FAccT welcomes submission of work that has previously appeared in non-archival venues such as workshops without formal proceedings. 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. For general conference information, see https://facctconference.org/2021/. judiciously. ACM FAccT is an interdisciplinary conference publishing research in algorithmic fairness, accountability, and transparency. and ethnic studies, migration studies, work on disability and other Accountability, and Transparency (FAccT), 2020. We are concerned with complex data in which variables may take any value from a contiguous range or an additional set of discrete states. Further information on the expected format and We especially welcome contributions that Using an Ethics of Care to Promote Diverse Voices, Differential Tweetment: Mitigating Racial Dialect Bias in Harmful Tweet Detection, Can You Fake It Until You Make It? websites or apps), or (2) rely on sensitive user data (e.g., social preliminary title and abstract should be representative of the submitted 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). These reviews . In industrial computer vision, discretionary decisions surrounding the production of image training data remain widely undocumented. FAccT is an reviewers with the appropriate expertise. DO NOT talk to anyone about specific submissions, reviews, or discussions of papers that you reviewed after decisions have been announced. Authors of all accepted papers must Copyright 2023 ACM, Inc. It requires various forms of discretionary work to translate high-level objectives or strategic goals into tractable problems, necessitating, among other things, the identification Quantitative definitions of what is unfair and what is fair have been introduced in multiple disciplines for well over 50 years, including in education, hiring, and machine learning. Contact the Program Co-chairs: program-chairs@facctconference.org. He. Authors are encouraged to reflect on these HotCRP.com signin Sign in using your HotCRP.com account. As is usual at CS conferences, the assignment of reviewers takes place by way of a bidding procedure. 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. FAccT: Fairness, Accountability, and Transparency. 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. all submissions will have the same page length requirements and will be Simply put, a college's acceptance rate is the rate at which applicants are accepted. Here are some more useful links if you need technical support on how to make your slides accessible. not submit papers that are identical, or substantially similar to 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 results or conclusions are important for the FAccT academic field. 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. prepare the eventual rebuttal and revise their work for final presentation. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT) A computer science conference with a cross-disciplinary focus that brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. How can perspectives and tools from 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. If necessary, this can be escalated to the PC chairs. And stay tuned for updates by following @facctconference. 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. 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. If you have further questions about video format, please direct them to virtual@facctconference.org. Author rebuttals: (Please note, this is a different process than that of fairness, accountability and transparency (broadly construed). which area your submission fits under, feel free to contact the Program When appropriate, authors are encouraged to include a subsection describing these issues. ACM FAccT maintains confidentiality of submitted material. Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. 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. an ethical concern, and authors agree to be available at any time during Using elasticities to derive optimal income tax rates. social, and institutional analyses. 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. 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. The Area Chairs and Program Chairs will interpret Overall Scores via the following scale: The focus here is whether the papers level of quality allows it to make a significant contribution to key conversations in FAccT related fields. Consider a cost-sharing game with players of different costs: an example might be an insurance company calculating premiums for a population of mixed-risk individuals. Claims are well supported by theoretical analysis, evidence, argument, and/or experimental results. Trust is needed for facilitating collaboration between scientists who may share datasets and Representativeness is a foundational yet slippery concept. choose the archival or non-archival option. instance, citations to the authors' own prior work should be made in the When consequential decisions are informed by algorithmic input, individuals may feel compelled to alter their behavior in order to gain a system's approval. To this end, we adopt a double-blind peer review system consisting of. proceedings, if they are accepted. June 12-15, 2023 in Chicago, USA. ACM FAccT 2021 offers authors the format, with one inch margins, 9 point Times New Roman font. and abstracts up until the full paper submission deadline, however the Although machine learning models can sometimes achieve impressive Formulating data science problems is an uncertain and difficult process. The ACM CHI Conference, 'CHI2021', Online Virtual Conference. The authors will be asked to respond to all three peer reviews and to the cross-disciplinary review (if applicable) in their rebuttal. 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. Meta-Learned Metrics over Multi-Evolution Temporal Graphs. For accessibility related concerns, contact inclusion@facctconference.org. Research challenges are not limited to technological solutions regarding potential bias, but include the question of whether decisions should be outsourced to data- and code-driven computing systems. 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 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). Authors are required to pre-register their papers through the submission register for, (virtually) attend, and present the work at the conference in length. Options and templates are available for both Word and LaTeX users. These tests are often run on their websites without explicit consent from users. 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. content of author rebuttals will be provided when the rebuttal period personal and professional concern, but also a perennial focus of FAccT Access to proprietary data in A/B/n testing has been adopted by many technology companies as a data-driven approach to product design and optimization. ACM FAT* 2020 is using the FAT Conf 2020 HotCRP. Our assessments, publications and research spread knowledge, spark enquiry and aid understanding around the world. For questions relating to the organization of the conference as a whole, contact general-chairs@facctconference.org. 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. 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. work. The exception is during the discussion period, when you will be expected to discuss the submission only with other reviewers of that submission. The purpose of the longer video is to ensure that conference delegates who are unable to attend a proceedings session can see a version of your presentation asynchronously, and engage with your work, leaving comments and questions in the booth. Disentangling Inuence: Using disentangled representations to audit model predic- 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. Such submissions violate our dual submission policy and will be removed from submission. Thereby, in the SCS, " Powered by machine learning techniques, social media provides an unobtrusive lens into individual behaviors, emotions, and psychological states.