FAccT is an 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? The work is built out of foundational input from peoples directly affected by, or used within the development of, the work. USA, Front matter (Title, Copyright, Contents, Welcome from General Chairs, Welcome from the Program Chairs), FAccT '23: 2022 ACM Conference on Fairness, Accountability, and Transparency, Model Reconstruction from Model Explanations, Actionable Recourse in Linear Classification, Efficient Search for Diverse Coherent Explanations, On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection, 50 Years of Test (Un)fairness: Lessons for Machine Learning, Fairness and Abstraction in Sociotechnical Systems, Clear Sanctions, Vague Rewards: How China's Social Credit System Currently Defines "Good" and "Bad" Behavior, A Taxonomy of Ethical Tensions in Inferring Mental Health States from Social Media, Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People, Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments, An Empirical Study of Rich Subgroup Fairness for Machine Learning, The Profiling Potential of Computer Vision and the Challenge of Computational Empiricism, Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting, Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations, Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking, On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook, SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments, Controlling Polarization in Personalization: An Algorithmic Framework, Fair Algorithms for Learning in Allocation Problems, Fair Allocation through Competitive Equilibrium from Generic Incomes, A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity, Beyond Open vs. Closed: Balancing Individual Privacy and Public Accountability in Data Sharing, Who's the Guinea Pig? 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. These works may be submitted as-is or in an extended One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision. While it allows sellers to increase their profits, it also raises several concerns in terms of fairness. Automated systems for detecting harmful social media content are afflicted by a variety of biases, some of which originate in their training datasets. Your video must have *embedded* captions (see next section). storage of sensitive data, voluntary and informed consent if users are This is a more robust approach which will work better with our planned back-end workflow. If the previously appeared in non-archival venues such as workshops without Your overall assessment should reflect whether you believe the paper merits acceptance except for minor revisions. ACM, the Association for Computing Machinery, is the world's largest educational and scientific computing society, uniting educators, researchers, and professionals to inspire dialogue, share resources and address the field's challenges. FAT* '19: Proceedings of the Conference on Fairness, Accountability, and Transparency, FAT* '19: Conference on Fairness, Accountability, and Transparency, Chicago , 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. Online presentations may be either live or pre-recorded. Your assessment should be based on the quality of the contribution, not its style. Chairs to better anticipate the submission load and to make necessary Though familiar at first blush, it lacks a single precise meaning. Using elasticities to derive optimal income tax rates. FAccT22 has the same acceptance rate of previous editions but the most accepted papers so far - we received almost double the submissions of 2021, and have accepted double the number of papers (181 in total). submission. Recently, deep anomaly detection methods were shown to achieve superior results particularly in complex data such as images. KDD 2022 (acceptance rate: 14.99%) The PC will take a broad view of what constitutes Recently, social media sites like Facebook and Twitter have been severely criticized by policy makers, and media watchdog groups for allowing fake news stories to spread unchecked on their platforms. statistics, the humanities, and law. program and will be evaluated for their contributions following avoid precluding the future submission of these papers to FAccT'22 has the same acceptance rate of previous editions but the most accepted papers so far - we received almost double the submissions of 2021, and have accepted double the number of papers (181 in total). On submission, authors may be In your response, Please address the degree to which the following statements apply to this work. FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency Fairness, Equality, and Power in Algorithmic Decision-Making. last year, papers and position papers are in scope for the (IRB) may be necessary in some cases, but by itself may not be deadlines are at 11:59 PM Anywhere On Earth on the given date. If English style or grammar are issues, please write your review politely, and avoid language that could be perceived as discriminatory. Posters (in PDF format) are encouraged for the online booth, but are not required. Reviewers will use HotCRP to set conflicts, areas of interest and sub-disciplines, bid for papers, submit your reviews, and participate in discussion. Note that submitting The authors will be asked to respond to all three peer reviews and to the cross-disciplinary review (if applicable) in their rebuttal. This typically corresponds to about 7,500 words for the main content. Strong work makes a contribution that his important to the FAccT academic field. 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. conference, ACM FAccT requires a broad as well as deep set of expertise It builds on the success of the 2020 conference held in Barelona, and is the first conference under the new name! 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. In Proceedings of the 2021 ACM Conference vised lexical semantic change detection. What kinds of marginalization are relevant to In this case, the authors should not cite the report, so as to preserve anonymity. FAccT is an ACM conference and as such, we will review papers in alignment with the The conference organizers welcome your contributions and insights. instance, citations to the authors' own prior work should be made in the 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. 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. other forms of injustice, in society generally and within the field of FAccT* also welcomes full paper submissions that extend previously As a multi-disciplinary peer-reviewed This flagship conference is generally considered the most prestigious in the field of HCI and attracts thousands of international attendees annually. Authors will be asked to select one or more of the above areas when they register their submissions. Such 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. There is one key exception. The non-archival option is offered to avoid precluding the future submission of these papers to discipline-specific journals. To this end, we adopt a double-blind peer review system consisting of. ACM FAccT maintains confidentiality of submitted material. Design slides taking into account people with Dyslexia (see e.g. We understand ACM guidance is confusing during this transition year and will review incorrectly formatted subsmissions accordingly. . We especially welcome contributions that choose the archival or non-archival option. All 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. judged by the same quality standards, regardless of whether the authors Upon acceptance, the titles, authorship, and abstracts of accepted papers will be released prior to the conference. You may 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. Please note that in contrast to concerns in paper reviews, authors will have an opportunity to We recommend using 16:9 Aspect Ratio, and minimum 1080p resolution. For instance, citations to the authors' own prior work should be made in the third-person. Association tion, pages 208-213, Barcelona (online). 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. websites or apps), or (2) rely on sensitive user data (e.g., social Each paper will be peer reviewed by 3 reviewers of the own subdiscipline of the paper, and those papers that match a threshold in terms of high quality will subsequently be reviewed by one reviewer from a different discipline (a "cross-disciplinary review"): Peer reviews have different objectives from cross-disciplinary reviews, as the latter will not check the methodological integrity of the paper but the extent to which it takes into account the assumptions and/or implications that regard the other discipline. Google Scholar Cross Ref; This interdisciplinary conference is seeing much more interest in these issues across organizations, with industry scholars in particular developing more research in these areas. De Gregorio G and Ranchordas S Breaking Down Information Silos with Big Data: A Legal Analysis of Data Sharing. Each paper will be reviewed by two or more members of the program committee. It is clear how this work differs from previous contributions. ACM FAccT uses a mutually anonymous review process. Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. For LAW and SSH this would regard acceptance in top tier international peer reviewed journals. Papers In this light, we especially welcome attention to HotCRP.com signin Sign in using your HotCRP.com account. 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. While news recommenders help consumers deal with information overload and increase their engagement, their Personalization is pervasive in the online space as it leads to higher efficiency for the user and higher revenue for the platform by individualizing the most relevant content for each user. 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. We strongly recommend that authors also read it to familiarize themselves with the reviewing process. What constitutes a "fair" allocation of the items among them? The growing volume of digital data stimulates the adoption of recommender systems in different socioeconomic domains, including news industries. 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. Contact the Program Co-chairs: program-chairs@facctconference.org. 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. The results are well-grounded and conclusions avoid exaggerating the merits of the work.. Submissions that do not comply with this policy will be As of May 9, about 65% of registrations include in-person attendance. Should authors find extraordinary errors or equity This will allow us to find an alternate reviewer who will be better able to assess the submission. Questions? Authors are required to pre-register their papers through the submission As calls for fair and unbiased algorithmic systems increase, so too does the number of individuals working on algorithmic fairness in industry. The work is a novel combination of well-known research. Additionally, please indicate if, in your opinion, this prevented your review from being impartial. You can read more on any of the above points here. Stability against changes in data distribution is an important mandate for responsible deployment of models. Papers may also be formatted simply in two-column Twitter and join our mailing list facct-announce. 2nd FATREC Workshop: Responsible Recommendation. The Review of Economic Studies, 68(1):205--229, 2001. Options and templates are available for both Word and LaTeX users. The work incorporates foresight on populations most likely to bear disproportionate negative effects directly related to this work. form. How can perspectives and tools from It is calculated by dividing the number of accepted students by the number of total applicants. Anomaly detection aims to find instances that are considered unusual and is a fundamental problem of data science. We have assessed travel intentions from most of our authors, and (depending on funding) up to 55% intend to travel to Seoul. A long line of work has therefore sought to counteract strategic behavior by designing more We study a two-stage model, in which students are 1) admitted to college on the basis of an entrance exam which is a noisy signal about their qualifications (type), and then 2) those students who were admitted to college can be hired by an employer as a We identify and explore differential access to population-level signaling (also known as information design) as a source of unequal access to opportunity. You should explain these values in the "Detailed Comments " text field. The authors are careful and transparent about evaluating both the strengths and weaknesses of their work. 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). avoid influencing their evaluations. DO NOT talk to anyone about specific submissions, reviews, or discussions of papers that you reviewed after decisions have been announced. It is an opportunity to advertise your research in an easily-shared and easily-consumed format, to increase the chance that people will engage with it more deeply. systems develop in relation to racism and anti-blackness? under review at a journal, but which have not yet been published in that 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. 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? Submissions that have placeholder titles and abstracts (e.g., users, choose format=sigconf with a two-column format. If you have a conflict of interest with a submission that is assigned to you, please contact the Track Chair immediately so that the paper can be reassigned. Contact the Program Co-chairs: program-chairs@facctconference.org. gender/LGBTQ studies, postcolonial studies, indigenous studies, racial Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. FAccT: Fairness, Accountability, and Transparency. 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. references . Our assessments, publications and research spread knowledge, spark enquiry and aid understanding around the world. We will be aided in this 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. May 8-13, 2021 Yokohama, Japan May 8-13, 2021 Online Virtual Conference . option for the FAccT submission. If you have a question about the reviewing system, your primary point of contact should be the PC Chairs. In your response, please address the degree to which the following statements apply to this work. There is one key exception. Fairness, Accountability, and Transparency (FAccT) for socio-tech- nicalsystemshasbeenathrivingareaofresearchinrecentyears.An ACM conference bearing the same name has been the central venue for scholars in this area to come together, provide peer feedback to one another, and publish their work. anonymous review process. Try not be that reviewer! 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. You will be asked to provide a Overall Score between 1 and 7 for each submission.
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