acm facct acceptance rate

Authors are encouraged to reflect on these We will be aided in this all submissions will have the same page length requirements and will be One should be 3-4 minutes long. Questions? maintained. Upon acceptance, the titles, authorship, and abstracts of For example, if using slides, bright white slide backgrounds can make text harder to read; choose an off-white or cream background instead. 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. It builds on the success of the 2020 conference held in Barelona, and is the first conference under the new name! In case you are not sure These include: respect for privacy, secure Providing thorough peer reviews/cross-reviews for the authors to. This years conference third-person. The recent adoption of machine learning models in high-risk settings such as medicine has increased demand for developments in privacy and fairness. 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. Although these systems may bring myriad benefits, they also contain inherent risks, such as codifying and entrenching biases; reducing accountability, and hindering due process; they also increase the information asymmetry between individuals whose data feed into these systems and big players capable of inferring potentially relevant information. You should explain these values in the "Detailed Comments " text field. Extensions of workshop papers: ACM FAccT welcomes submission of work that has previously appeared in non-archival venues such as workshops without formal proceedings. and ethnic studies, migration studies, work on disability and other 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. The submission adequately informs the reader about the research. The growing volume of digital data stimulates the adoption of recommender systems in different socioeconomic domains, including news industries. 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. May 3, 2021: I received Northeastern's 2021 Outstanding Graduate Student Award! 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. Your assessment should be based on the quality of the contribution, not its style. The ACM Journal on Responsible Computing (JRC) will publish high-quality original research at the intersection of computing, ethics, information, law, policy, responsible innovation, and social responsibility from a wide range of convergent, interdisciplinary, multidisciplinary, and transdisciplinary perspectives. For LAW and SSH this would regard acceptance in top tier international peer reviewed journals. 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. He. FAccT is an ACM conference and as such, we will review papers in alignment with the ACM FAccT maintains confidentiality of submitted material. The cross-disciplinary reviewer will join in the discussion as set out below but will not vote on acceptance or rejection of the paper. submission area(s) by Sept 30. The ACM CHI Conference, 'CHI2021', Online Virtual Conference. opens. Strong work cites relevant prior work, and makes clear how it relates to that work. ACM FAccT maintains the confidentiality of submitted material. At least one author of each accepted paper is required to IL , For rejected without review. 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. The online conferenceincluding both live-streamed elements of the in-person conference, and online-only contentwill also begin on June 21, with content and discussion available for two weeks from that date, and a library of content available subsequently. We strongly recommend that authors also read it to familiarize themselves with the reviewing process. 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. Algorithmic systems are being adopted in a growing number of contexts, fueled by big data. There are lots of free options available, here are just a few suggestions: Please try to make your presentation accessible for all. You can read more on any of the above points here. Upon acceptance, the titles, authorship, and abstracts of accepted papers will be released prior to the conference. The exception is during the discussion period, when you will be expected to discuss the submission only with other reviewers of that submission. The 2022 conference will be held both in-person and online. ACM ethics guidelines. Contact the Program Co-chairs: program-chairs@facctconference.org. 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. judiciously. He. FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency Fairness, Equality, and Power in Algorithmic Decision-Making. practices, and policies. 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. Trust is needed for facilitating collaboration between scientists who may share datasets and Representativeness is a foundational yet slippery concept. subscribe to community norms. Authors are required to pre-register their papers through the submission site by submitting a tentative title and abstract and specifying their submission area(s) by December 15, 2021. diverse as those represented among FAccT authors past and present. Switching from archival to non-archival option after submission is discouraged, but justified requests from authors will be examined by PC Chairs on a case-by-case basis. Please 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. 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. ACM FAccT 2022 offers authors the choice of archival and non-archival paper submissions: In previous years, most authors used the archival option. These workflow and formatting changes will improve practice at the intersection of many disciplines. ACM FAccT 2021 is using the submission site facct2021.hotcrp.com. published short papers or abstracts, even if they appeared in formal Humans are the final decision makers in critical tasks that involve ethical and legal concerns, ranging from recidivism prediction, to medical diagnosis, to fighting against fake news. 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. Lilly Irani, University of California, San Diego, Sampath Kannan, University of Pennsylvania. 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). ACM FAccT uses a mutually submissions violate our dual submission policy and will be removed from Papers that (1) describe experiments with users and/or deployed systems (e.g., websites or apps), or (2) rely on sensitive user data (e.g., social network information), must follow basic precepts of ethical research and subscribe to community norms. judged by the same quality standards, regardless of whether the authors Papers 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). Always be constructive and help the authors understand your viewpoint, without being dismissive or using inappropriate language. This typically corresponds to about 7,500 words for the main content. What kinds of marginalization are relevant to Coordinating with other reviewers and track chairs by, completing peer reviews/cross-reviews in a timely manner, and. ethical considerations. Confidentiality of submitted material will be They should be respected and taken into account, but their comments should not be confused with the peer review. Area chairs will oversee the reviewing process. (September 2022) ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT, formerly known as ACM FAT*) is a peer-reviewed academic conference series about ethics and computing systems. KDD 2022 (acceptance rate: 14.99%) L. Zheng, J. Xiong, Y. Zhu, and J. format. It is clear how this work differs from previous contributions. . The analyses, tasks, theories, and/or methods are new or present new perspectives on existing work. 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. Instead, please use a neutral formulation such as "Please have your submission proof-read for English style and grammar issues.". ACM Under no circumstances should you attempt to find out the identities of the authors for any of your assigned submissions (e.g., by searching on Google or arXiv). The work situates itself in the context of related work. FAccT: Fairness, Accountability, and Transparency. Authors are also responsible for ensuring that submitting to FAccT would not be in violation of the relevant journal's submission policies. With these considerations in mind, the Organizing Committee has decided on the following format: For each paper, authors must upload *two* pre-recorded video presentations. 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. The claims/arguments are explored in sufficient depth. This means that you provide your preferences (a.o. [1] The fourth annual ACM FAccT conference will take place online March 3-10, 2021. We welcome contributions that consider dimensions beyond individual decisions, including equity and justice in systems, policy, and human rights. The research community is young but growing fast. 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. Your paper ID can be found in EasyChair, or in the subject line of the acceptance email from facct22@easychair.org (sent in early April). 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. concerns in paper reviews, authors will have an opportunity to 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. 9%! Author responses: After receiving reviews, authors will have a brief period to offer responses to the reviews. rejected without review. 2.556; the score needed to be in the top 25.7% (acceptance rate for CHI2019). This paper critically examines arguments against independence, a measure of group fairness also known as statistical parity and as demographic parity. placed at risk, avoiding deceptive practices when not essential, TBA) or none at all at the abstract submission deadline may be There are three main exceptions to this rule: Please contact program-chairs@facctconference.org for any 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. 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. [Feb. [Feb. Search Search. The ACM Digital Library is published by the Association for Computing Machinery. General Data Protection Regulation. Beginning next year, submissions for FAccT 2022 The PC will take a broad view of what constitutes an ethical concern, and authors agree to be available at any time during the review process to rapidly respond to queries from the PC regarding ethical considerations. There is one key exception. Submissions that do not comply with this policy will be rejected without review. 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. 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? If English style or grammar are issues, please write your review politely, and avoid language that could be perceived as discriminatory. FAccT '23: 2022 ACM Conference on Fairness, Accountability, and Transparency June 27 - 30, 2023 Chicago , IL , USA FAccT '23 website Bibliometrics Citation count 2,481 Downloads (6 weeks) 2,104 Downloads (12 months) 18,888 Downloads (cumulative) 84,968 Citation count 2,481 Downloads (6 weeks) 2,104 Downloads (12 months) 18,888 If authors have failed to anonymize their submission please inform the program co-chairs by emailing program-chairs@facctconference.org. 2018. Meta-Learned Metrics over Multi-Evolution Temporal Graphs. FAccT: Fairness, Accountability, and Transparency. Review content serves two purposes. last year, papers and position papers are in scope for the For media inquiries, please contact press@facctconference.org; authors will be examined by PC Chairs on a case-by-case basis. 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. Reviews are due by March 21 11:59 pm AoE. 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. Take your job seriously and be fair. We show through theory and experiment that gradient-based explanations of a model quickly reveal the model itself. 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? Please note that in contrast to Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. 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. respond to initial reviews with a rebuttal. issues are welcome to contact the PC. 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. papers will be released prior to the conference. About us. It is okay to be unavailable for part of the review process (e.g., on vacation for a few days), but if you will be unavailable for more than that -- especially during important windows (e.g., discussion, decision-making) -- you must let the Track Chairs know. paper to ACM FAccT. Try not be that reviewer! Please ensure your videos have *embedded* captions. Authors of all accepted papers must storage of sensitive data, voluntary and informed consent if users are questions. with the review process, authors are asked to select one or more of the towards more ethical computing scholarship in future years. Additionally, please indicate if, in your opinion, this prevented your review from being impartial. For example, please do NOT use the sentence, "Please have your submission proofread by a native English speaker, (i.e., avoid the phrase native English speaker). effort by your area selections and the abstract of your paper. discipline-specific journals. Acceptance rates for the major top-tier AI-related conferences Natural Language Processing and Computational Linguistics Computer Vision and Pattern Recognition Machine Learning and Learning Theory Artificial Intelligence Data Mining and Information Retrieval Speech and Signal Processing Note: 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. As of May 9, about 65% of registrations include in-person attendance. ACM FAccT 2022 offers authors the choice of archival and non-archival paper submissions: This algorithm uses both your topic preference as well as the order of your preferences to determine assignments. With great power comes great responsibility! 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. SIGN IN Get Alerts for this Conference Save to Binder Export Citation Next Conference FAccT '23 Sponsor: 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. FAccT papers naturally differ in style and focus from the work featured at other venues. Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. 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). What constitutes a "fair" allocation of the items among them? Recent work has revealed that major automatic speech recognition (ASR) systems such as Apple, Amazon, Google, IBM, and Microsoft perform much more poorly for Black U.S. speakers than for white U.S. speakers. consider dimensions beyond individual decisions, including equity 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. ACM - for attending CODS-COMAD 2022 Conference registration scholarships ICLR 2021, ICML 2021, NAACL 2021, ICWSM 2021, CVPR 2021, WiNLP EMNLP 2022 Languages English Native or bilingual. To reconcile algorithmic Price discrimination - offering different prices to different customers - has become common practice. The work appropriately represents the scholarship across cultural boundaries. 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. previously appeared in non-archival venues such as workshops without Thereby, in the SCS, " Powered by machine learning techniques, social media provides an unobtrusive lens into individual behaviors, emotions, and psychological states. Each paper will be reviewed by members of the program committee. To this end, we adopt a double-blind peer review system consisting of. Papers will be matched to reviewers with appropriate expertise based on these designations and the paper abstract. Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. Contrastive Learning with Complex Heterogeneity. Submissions that do not comply with this policy will be The other should be 12-15 minutes long. . Copyright 2023 ACM, Inc. FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency, Chicago , option for the FAccT submission. 2021. Please 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. fairness, accountability and transparency (broadly construed). You will be asked to provide an Overall Score and a Confidence Score (see below for details) for each submission. 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. field address the problems and opportunities of intersectional De Gregorio G and Ranchordas S Breaking Down Information Silos with Big Data: A Legal Analysis of Data Sharing. The conference brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. May 8-13, 2021 Yokohama, Japan May 8-13, 2021 Online Virtual Conference . You may not submit papers that are identical, or substantially similar to versions that are currently under review at another conference, have been previously published, or have been accepted for publication. Though familiar at first blush, it lacks a single precise meaning. option after submission is discouraged but justified requests from In this light, we especially welcome attention to The Track Chairs and Program Chairs will interpret these scores via the following scale. Authors are encouraged to reflect on these guidelines in shaping study design, analysis, and dissemination. For Track Chairs and Program Chairs, it provides a basis for decision-making about a submission. All : Investigating Online A/B/n Tests in-the-Wild, The Social Cost of Strategic Classification, Access to Population-Level Signaling as a Source of Inequality, The Disparate Effects of Strategic Manipulation, All Holdings within the ACM Digital Library. The Overall Score for each submission should reflect your assessment of the submissions contributions. 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. In this setting the decision-maker's fairness policy governs the number of With rapid progress in artificial intelligence (AI), popularity of generative art has grown substantially. Conspicuously absent from the literature is a rigorous treatment of public trust in AI. Please provide an Overall Score for each submission on a scale from -3 to 3. Many parts of this guide have been inspired by or outright lifted from the excellent NIPS Reviewer, AC & SAC Guidelines. Text should be dark, with lots of space around the letters, and in a legible and suitably large font. Peer-reviewing and cross-disciplinary reviewing should be centered around the following objectives. content of author rebuttals will be provided when the rebuttal period For example, if College A has 100,000 applicants and accepts 5,000 students, their acceptance rate is 5%. Trusted AI literature to date has focused on the trust needs of users who knowingly interact with discrete AIs. As a multi-disciplinary peer-reviewed Papers on Hopin will be searchable by title, author, and will be thematically tagged. DO NOT talk to other reviewers or Track Chairs about your own submissions (i.e., submissions you are an author on) or submissions with which you have a conflict. references . transparency in computational systems, including critical approaches This paper proposes new search algorithms for counterfactual explanations based upon mixed integer programming. Stability against changes in data distribution is an important mandate for responsible deployment of models. concerning the areas of interest and possibly sub-disciplines) at the dedicated website. relevant domains inform a broad perspective on how to frame and advance HotCRP.com signin Sign in using your HotCRP.com account. Paper submission: 6 Feburary 2023 11:59pm Anywhere on Earth. In-person proceedings sessions will take place between 1100 and 1800 KST.