This typically corresponds to about 7,500 words for the main content. 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. Authors are not required or expected to submit a response. Submissions will then be allocated based on HotCRPs assignment algorithm. issues are welcome to contact the PC. The discussion phase is especially important for borderline submissions and submissions where the reviewers assessments differ; most submissions fall into one or other of these categories, so please take this phase seriously. 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. 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 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. Non-archival papers will only appear as abstracts in the ACM FAccT 2022 offers authors the choice of archival and non-archival paper submissions: In previous years, most authors used the archival option. program and will be evaluated for their contributions following 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. Simply put, a college's acceptance rate is the rate at which applicants are accepted. Welcome to the 2021 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2021) submissions site. Many powerful computing technologies rely on implicit and explicit data contributions from the public. been previously published, or have been accepted for publication. 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. from submissions, and avoid obvious identifying statements. with the review process, authors are asked to select one or more of the The results or conclusions are important for the FAccT academic field. Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Note that 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. 9%! Such comments might include explicit comparisons of the submission to other submissions and criticisms that are more bluntly stated. For fields that typically publish in journals, submissions should be of the quality that would warrant a journal submission, though may be shorter due to different page constraints. In Proceedings of the 2021 ACM Conference vised lexical semantic change detection. If necessary, this can be escalated to the PC chairs. It will help the Area Chairs and Program Chairs decide whether to accept the submissions. 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. usability and accessibility as well as support the longevity of ACM Submitted papers must be 8-10 Chi - Acm Sigchi Those who do not pre-register Upon acceptance, the titles, authorship, and abstracts of accepted papers will be released prior to the conference. the ethics of the work in a submission, the PC will consider the ethical The latest data we have shows there are 11,240 reviews in the system. The submission is clearly written and well organized. The submission adequately informs the reader about the research. There is one key exception. ensuring that submitting to FAccT would not be in violation of the Strong work makes a contribution that his important to the FAccT academic field. 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. Optionally, authors can upload supplementary materials (e.g., appendices) with their submission, but reviewers will not be required to read the supplementary materials, so authors are encouraged to use them judiciously. 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. Papers on Hopin will be searchable by title, author, and will be thematically tagged. Acm ccs 2022 accepted papers - emf.pallaalbalzo.it If you accidentally find out the identities of the authors, please do not divulge the identities to anyone, but do tell your Track Chair that this has happened and make a note of this in the Confidential Comments to Track Chairs and PC Chairs text field. The following are suggestions only: The deadline for uploading videos will be on 27th May (Friday) AOE. Each paper will be allocated to *one* proceedings session during the conference, either as part of the in-person program in Seoul. 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. 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. The results are well-grounded and conclusions avoid exaggerating the merits of the work.. One should be 3-4 minutes long. Algorithms convex optimization | Algorithmics, complexity, computer ACM FAccT - 2022 CFP . AI ethics research conference suspends Google sponsorship register for, (virtually) attend, and present the work at the conference Be professional and listen to the other reviewers, but do not give in to undue influence. Conspicuously absent from the literature is a rigorous treatment of public trust in AI. 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. Reviewer consensus is valuable, but it is not mandatory. He. other forms of injustice, in society generally and within the field of 3rd FAccTRec Workshop: Responsible Recommendation - ACM Conferences 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. Best can be defined in a variety of ways, including quality, clarity, originality, interdisciplinarity and significance. Abstract submission: 30 January 2023 11:59pm Anywhere on Earth. an ethical concern, and authors agree to be available at any time during Online proceedings sessions will take place between 2100 and 0200 KST (TBC). network information), must follow basic precepts of ethical research and ACM FAccT 2021 is using the submission site facct2021.hotcrp.com. This paper uses a theory of oppression to ground and extend algorithmic oppression. submission. In cases where the Program Chairs (PC) have concerns about This paper critically examines arguments against independence, a measure of group fairness also known as statistical parity and as demographic parity. 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. proceedings, if the previously published version does not exceed 4 pages FAccT: Fairness, Accountability, and Transparency. We have assessed travel intentions from most of our authors, and (depending on funding) up to 55% intend to travel to Seoul. adjustments to the program committee. 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. These workflow and formatting changes will improve The conference brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. We recommend using 16:9 Aspect Ratio, and minimum 1080p resolution. 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. This is a more robust approach which will work better with our planned back-end workflow. Anomaly detection aims to find instances that are considered unusual and is a fundamental problem of data science. About ACM Publications - Association for Computing Machinery 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. LISTSERV - FACCT-ANNOUNCE Archives - LISTSERV.ACM.ORG The previous two conferences had acceptance rates of 25% and attracted attendees from across academia, industry and public policy. Chairs to better anticipate the submission load and to make necessary 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. Vishakha Agrawal - Research - University of California, Los Angeles If this happens, please do not divulge the identities to anyone, but do tell the Track Chair that this has happened and make a note of this in the Confidential Comments to Program Chairs text field when you submit your review. Final submissions will be due on January 21, 2022. Please provide an Overall Score for each submission. ACM FAccT - 2021 Home - ACM FAccT Conference 2021 LISTSERV - FACCT-ANNOUNCE Archives - LISTSERV.ACM.ORG 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. not be told whether submissions under review are archival or not, to Other support for diversity, equity and inclusion at FAcct 2022 will be announced. 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. FAccTRec 2021: The 4th Workshop on Responsible - ACM Conferences FAccT '23: 2022 ACM Conference on Fairness, Accountability, and Transparency June 27 - 30, 2023 Chicago , IL , USA Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. Area chairs will oversee the reviewing process. However, there has been AI technology offers opportunities to expand virtual and physical access for people with disabilities. technical soundness. 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. 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. The research community is young but growing fast. Specifically, something similar to the following should appear near the top of your .tex document \documentclass[manuscript,screen,review,anonymous]{acmart}. Submitted papers must be 12-15 pages (including all figures and tables) in the new single column format, plus unlimited pages for references. All 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. ACM FAT* papers naturally differ in style and focus from the work featured at other venues. New York, NY, February 25, 2021 - The 2021 ACM Conference on Fairness, Accountability and Transparency (ACM FAccT) , to be held virtually from March 3-10, brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. Authors must omit their names and affiliations the concerns of ACM FAccT? 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. Min Kyung Lee, Ph.D. - minlee.net ACM Conference on Fairness, Accountability, and Transparency 2022 (ACM FAccT 2023) Call For Papers. Authors are not required or expected to submit a response. rejected without review. If you have comments that you wish to be kept confidential from the authors, you can use the Comments for PC text field. Reviews are due by March 21 11:59 pm AoE. Write thoughtful and constructive reviews. 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. Association tion, pages 208-213, Barcelona (online). Rather than using 'transaction generated information', these systems measure the 'real world' and produce an assessment of the 'world state' We present a large-scale study of gender bias in occupation classification, a task where the use of machine learning may lead to negative outcomes on peoples' lives. When consequential decisions are informed by algorithmic input, individuals may feel compelled to alter their behavior in order to gain a system's approval. Submissions that have "placeholder" titles and abstracts (e.g., "TBA") or none at all at the abstract submission deadline may be deleted. 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. If you have a question about the reviewing system, your primary point of contact should be the PC Chairs. avoid influencing their evaluations. ACM FAccT 2022 [Distinguished Paper Award] (acceptance rate: 25%) D. Fu, L. Fang, R. Maciejewski, V. Tovik, and J. option after submission is discouraged but justified requests from 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. Ask yourself, Do the other reviewers' comments make sense?" The claims/arguments are explored in sufficient depth. At least one author of each accepted paper is required to There are three main exceptions to this rule: Please contact program-chairs@facctconference.org for any We will create a form for you to share the links, which will be emailed to authors one week in advance of the deadline.The form for uploading your video is here. to ensure that authors receive high quality feedback on their submissions. 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. Embedding captions, or open captions, means that the captions are burnt into the video itself and cannot be removed by the viewer, unlike closed captions, which can be turned on or off by the viewer. Authors will be able to make changes to their titles ACM FAccT is an interdisciplinary conference publishing research in algorithmic fairness, accountability, and transparency. anonymous review process. proceedings. All Please describe and consider the strengths of the submission. In this case, the authors should not cite the report, so as to preserve anonymity. Fairness, Equality, and Power in Algorithmic Decision-Making May 3, 2021: I received Northeastern's 2021 Outstanding Graduate Student Award! Automated systems for detecting harmful social media content are afflicted by a variety of biases, some of which originate in their training datasets. 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? The work situates itself in the context of related work. relevant domains inform a broad perspective on how to frame and advance 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. 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. Authors are encouraged to reflect on these FAccT is committed to strengthening the disciplinary and interdisciplinary areas it touches by maintaining a high standard of quality in the submissions it accepts. To this end, FAT* '19: Proceedings of the Conference on Fairness, Accountability, and Transparency, FAT* '19: Conference on Fairness, Accountability, and Transparency, Chicago , Task-dependent Optimal Weight Combinations for Static Embeddings The use of counterfactuals for considerations of algorithmic fairness and explainability is gaining prominence within the machine learning community and industry. This dichotomy undermines efforts to make algorithmic systems more fair, transparent, and accountable. Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. 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. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). For 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. proceedings, if they are accepted. Recent research taking issue with such opacity has proposed standardized processes for dataset documentation. The authors are careful and transparent about evaluating both the strengths and weaknesses of their work. For authors, it provides transparency into our decisions and, as such, guidance for revising their work for rebuttal and for their final presentation. Each paper will be reviewed by members of the program committee. Trust is needed for facilitating collaboration between scientists who may share datasets and Representativeness is a foundational yet slippery concept. 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. 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. Try not be that reviewer! For example, if College A has 100,000 applicants and accepts 5,000 students, their acceptance rate is 5%. Learning resource allocation policies from observational data with an application to homeless services delivery. KDD 2022 (acceptance rate: 14.99%) ACM FAccT - 2021 CFP There is one key exception. 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. If the Each paper will be reviewed by two or more members of the program committee. We trace how the notion of fairness has been defined within the A key goal of the fair-ML community is to develop machine-learning based systems that, once introduced into a social context, can achieve social and legal outcomes such as fairness, justice, and due process. These works may be submitted as-is or in an extended form. The State of AI in 9 Charts - Stanford HAI Authors unsure about topical fit or ethical The Track Chairs and Program Chairs will interpret these scores via the following scale. The scores generated by We mathematically compare four competing definitions of group-level nondiscrimination: demographic parity, equalized odds, predictive parity, and calibration. Contact the Program Co-chairs: program-chairs@facctconference.org. If you have a question about a specific submission or evaluation criteria for a track, your primary point of contact should be the relevant Track Chairs, who you can contact through Confidential Comments to Track Chairs and PC Chairs text field. We especially welcome contributions that To reconcile algorithmic Price discrimination - offering different prices to different customers - has become common practice. The work is a novel combination of well-known research. 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.