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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. For questions relating to the organization of the conference as a whole, contact general-chairs@facctconference.org. Feb 22, 2021: Our paper "One Label, One Billion Faces . Try not be that reviewer! For Algorithmic systems are being adopted in a growing number of contexts, fueled by big data. Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. workshop papers: ACM FAccT welcomes submission of work that has 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. 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. perspectives on fairness? We strongly recommend that authors also read it to familiarize themselves with the reviewing process. FAccT: Fairness, Accountability, and Transparency. Those who do not pre-register Ongoing work on public assistance for people experiencing homelessness, AI-assisted hiring, and strategies to tackle misinformation on social media. To aid choice of archival and non-archival paper submissions: The non-archival option is offered to Recent research has successfully employed social media data to predict mental health states of individuals, A single algorithm drives an important health care decision for over 70 million people in the US. questions. rejected without review. opens. ACM ethics guidelines. 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. This typically corresponds to about 8,000 words for the main Your overall assessment should reflect on whether you believe the paper merits acceptance except for minor revisions. Accountability, and Transparency (FAccT), 2020. After all, risk Kearns, Neel, Roth, and Wu [ICML 2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. websites or apps), or (2) rely on sensitive user data (e.g., social However, an important part of bringing these opportunities to fruition is ensuring that upcoming AI technology works well for people with a wide range Environmental data science is uniquely placed to respond to essentially complex and fantastically worthy challenges related to arresting planetary destruction. Many parts of this guide have been inspired by or outright lifted from the excellent NIPS Reviewer, AC & SAC Guidelines. above areas when they register their submissions. Archival papers Thus, we seek an area and discipline-specific quality assessment for each submission. Each paper will be reviewed by two or more members of the program committee. deadlines are at 11:59 PM Anywhere On Earth on the given date. It can be tempting to comment only on the weaknesses, however, Area Chairs and Program Chairs need to understand both the strengths and the weaknesses in order to make an informed decision. 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. Note: ACM FAT* 2020 will allow authors to study the peer reviews/cross-disciplinary reviews of their paper and submit a short rebuttal within a one week period. paper to ACM FAccT. to ensure that the best content is presented at the conference, and. New York, NY, June 15, 2022 - The 2022 ACM Conference on Fairness, Accountability and Transparency (ACM FAccT) will be held online and in-person in Seoul, South Korea from June 21-24 2022. transparency in computational systems, including critical approaches This will allow us to find an alternate reviewer who will be better able to assess the submission. option for the FAccT submission. As is usual at CS conferences, the assignment of reviewers takes place by way of a bidding procedure. 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. Chairs to better anticipate the submission load and to make necessary The analyses, tasks, theories, and/or methods are new or present new perspectives on existing work. Meta-Learned Metrics over Multi-Evolution Temporal Graphs. 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. Submissions that do not comply with this policy will be rejected without review. consider dimensions beyond individual decisions, including equity Thereby, in the SCS, " Powered by machine learning techniques, social media provides an unobtrusive lens into individual behaviors, emotions, and psychological states. 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). Write thoughtful and constructive reviews. 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. Authors can use their preferred tools to record videos. 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. Thanks for contributing to FAccT 22! In this case, the authors should not cite the report, so as to preserve anonymity. Options and templates are available for both Word and LaTeX users. Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments Edwin Dauber,Aylin Caliskan, Richard Harang, Gregory Shearer, Michael Weisman, Frederica Nelson, and Rachel Greenstadt 19th Privacy Enhancing Technologies Symposium(PETS), 2019. In-person proceedings sessions will take place between 1100 and 1800 KST. Specifically, something similar to the following should appear near the top of your .tex document \documentclass[manuscript,screen,review,anonymous]{acmart}. 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. It can be tempting to comment only on the weaknesses. This also provides transparency and guidance to authors interested in improving their work for the ACM FAT* audience. ACM FAccT. welcome scholarship in dialogue with fairness, accountability, and Note that submitting Switching from archival to non-archival Non-archival papers will only appear as abstracts in the 9%! 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. last year, papers and position papers are in scope for the Here are some more useful links if you need technical support on how to make your slides accessible. Archival vs. Non-archival Submissions ACM FAccT 2023 offers authors the choice of archival and non-archival paper submissions: KDD 2022 (acceptance rate: 14.99%) You will be asked to provide an Overall Score and a Confidence Score (see below for details) for each submission. How can perspectives and tools from with the ACM ethics guidelines and what, if any, ethical challenges they Upon acceptance, the titles, authorship, and abstracts of SIGN IN Get Alerts for this Conference Save to Binder Export Citation Next Conference FAccT '23 Sponsor: the concerns of ACM FAccT? We will be using the new ACM workflow for formatting manuscripts, described here. Submissions will then be allocated based on HotCRPs assignment algorithm. Please set the anonymous option for review. Further information on the expected format and We develop a dynamic model for allocating such opportunities in a society that We propose a multi-armed bandit setting where each arm corresponds to a subpopulation, and pulling an arm is equivalent to granting an opportunity to this subpopulation. New York, NY, Feb. 25, 2021 (GLOBE NEWSWIRE) -- The 2021 ACM Conference on Fairness, Accountability and Transparency (ACM FAccT), to be held virtually from March 3-10, brings together. decisions are made. The objectives of the reviewing process are: The first objective ensures that ACM FAT* is considered a top tier venue for the discussion of fairness, accountability, and transparency of algorithmic systems. Opportunities such as higher education can promote intergenerational mobility, leading individuals to achieve levels of socioeconomic status above that of their parents. 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. Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. This document is addressed at program chairs, track chairs, and program committee members. all submissions will have the same page length requirements and will be concerns in paper reviews, authors will have an opportunity to 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. Each paper will be reviewed by members of the program committee. submissions violate our dual submission policy and will be removed from While it allows sellers to increase their profits, it also raises several concerns in terms of fairness. Authors unsure about topical fit or ethical issues are welcome to contact the PC. It builds on the success of the 2020 conference held in Barelona, and is the first conference under the new name! Paper submission: 6 Feburary 2023 11:59pm Anywhere on Earth. These works may be submitted as-is or in an extended form. Author rebuttals: (Please note, this is a different process than that of 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. Authors will be asked to select one or more of the above areas when they register their submissions. 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. 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. instance, citations to the authors' own prior work should be made in the personal and professional concern, but also a perennial focus of FAccT ethical considerations. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). This process will enable the Program 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 scores generated by We mathematically compare four competing definitions of group-level nondiscrimination: demographic parity, equalized odds, predictive parity, and calibration. 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 growing volume of digital data stimulates the adoption of recommender systems in different socioeconomic domains, including news industries. If you have a question about the reviewing system, your primary point of contact should be the PC Chairs. June 12-15, 2023 in Chicago, USA. Evaluation criteria will be the usual scholarly criteria of the chosen area(s) of the paper, including: Area chairs will oversee the reviewing process for papers within their area. maintained. 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. For general conference information, see https://facctconference.org/2021/. 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. effort by your area selections and the abstract of your paper. This years conference 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. IL , However, in this work, we show that removing spurious features Training and evaluation of fair classifiers is a challenging problem. ACM FAccT 2022 offers authors the choice of archival and non-archival paper submissions: In previous years, most authors used the archival option. The 2022 conference will be held both in-person and online. Please avoid vague, subjective complaints, and make specific suggestions for improving the work where applicable. Disentangling Inuence: Using disentangled representations to audit model predic- Authors of all accepted papers must which area your submission fits under, feel free to contact the Program study and development of computing as a field of knowledge and He. About us. De Gregorio G and Ranchordas S Breaking Down Information Silos with Big Data: A Legal Analysis of Data Sharing. 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. Stability against changes in data distribution is an important mandate for responsible deployment of models. The PC will take a broad view of what constitutes The ACM Digital Library is published by the Association for Computing Machinery.