From creating paintings to generating novel art styles, AI based generative art has showcased a variety of applications. their paper is archival or non-archival. Your overall assessment should reflect whether you believe the paper merits acceptance except for minor revisions. been previously published, or have been accepted for publication. ACM FAccT maintains confidentiality of submitted material. 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. Conference-length (8-10 pages) versions of papers that are A huge amount of effort goes into reviews. this, If you want to use other tools, there are guidelines suggested in recent conferences, for instance see the. 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. Authors will be able to make changes to their titles and abstracts up until the full paper submission deadline, however the preliminary title and abstract should be representative of the submitted work. It can be tempting to comment only on the weaknesses. Reviews are due by March 21 11:59 pm AoE. (September 2022) This article relies excessively on references to primary sources. Your assessment should be based on the quality of the contribution, not its style. maintained. : 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. journal: In such cases, we require authors to select the non-archival Authors will upload videos to their preferred cloud drive service and share publicly accessible links for each video with the conference organizers. pages (including all figures and tables), plus unlimited pages for in length. Recent research taking issue with such opacity has proposed standardized processes for dataset documentation. 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. opens. Design slides taking into account people with Dyslexia (see e.g. You should rename your videos as YOUR_PAPERID-SHORT.mp4 and YOUR_PAPERID-LONG.mp4, for example 1234-SHORT.mp4 and 1234-LONG.mp4. Non-archival papers will only appear as abstracts in the (Acceptance rate: 16%) 11. Disentangling Inuence: Using disentangled representations to audit model predic- third-person. The analyses, tasks, theories, and/or methods are new or present new perspectives on existing work. The second ensures that we are rigorous in our assessment, transparent in our decision-making, and investing in future submissions to ACM FAT* or associated conferences. 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. 2018. judiciously. 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. FAccT is an ACM conference and as such, we will review papers in alignment with the Conspicuously absent from the literature is a rigorous treatment of public trust in AI. the same reviewing rubric as all papers. 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 work incorporates foresight on populations most likely to bear disproportionate negative effects directly related to this work. For instance, citations to the authors' own prior work should be made in the third-person. 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). which area your submission fits under, feel free to contact the Program As of May 9, about 65% of registrations include in-person attendance. 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). FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency March 2021 Pages 272 https://doi.org/10.1145/3442188.3445891 In Proceed- on Fairness, Accountability, and Transparency, FAccT ings of the Fourteenth Workshop on Semantic Evalua- '21, page 610-623, New York, NY, USA. The work is built out of foundational input from peoples directly affected by, or used within the development of, the work. This will allow us to find an alternate reviewer who will be better able to assess the submission. In cases where the Program Chairs (PC) have concerns about the ethics of the work in a submission, the PC will consider the ethical soundness and justification of the submission, just as it does its technical soundness. : Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness, Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices, Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy, Better Together? Write thoughtful and constructive reviews. Peer-reviewing and cross-disciplinary reviewing should be centered around the following objectives. 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). Reviewers will be invited to above areas when they register their submissions. #FAccT2023 Note that FAccT welcomes submissions that touch on any of the topics of The latest data we have shows there are 11,240 reviews in the system. To this end, we adopt a double-blind peer review system consisting of. While it allows sellers to increase their profits, it also raises several concerns in terms of fairness. with the review process, authors are asked to select one or more of the In-person presentations must be live. The PC will take a broad view of what constitutes Although the double-blind review process reduces the risk of bias, reviews can inadvertently contain subtle discrimination, which should be actively avoided. site by submitting a tentative title and abstract and specifying their program and will be evaluated for their contributions following Although it is only in its fifth year, FAccT has rapidly become the premiere It is not fair to dismiss any submission without having thoroughly read it. usability and accessibility as well as support the longevity of ACM When consequential decisions are informed by algorithmic input, individuals may feel compelled to alter their behavior in order to gain a system's approval. IL , 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. 9. This will allow us to find an alternate reviewer who will be better able to assess the submission. : How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness, Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately, Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information, Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies, The Use and Misuse of Counterfactuals in Ethical Machine Learning, Mitigating Bias in Set Selection with Noisy Protected Attributes, What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness, Standardized Tests and Affirmative Action: The Role of Bias and Variance, The Sanction of Authority: Promoting Public Trust in AI, Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning, Avoiding Disparity Amplification under Different Worldviews, Spoken Corpora Data, Automatic Speech Recognition, and Bias Against African American Language: The case of Habitual 'Be', All Holdings within the ACM Digital Library. 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. And stay tuned for updates by following @facctconference on Twitter or joining the FACCT-ANNOUNCE listserv. 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. Paper submission: 6 Feburary 2023 11:59pm Anywhere on Earth. ACM FAccT uses a mutually anonymous review process. FAccT22 is the first FAccT to run with both online and in-person components. format. Weve marked the sections of this document with . He was elected an ACM Fellow in 2019. Papers may also be formatted simply in two-column 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. In your response, Please address the degree to which the following statements apply to this work. 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. In this light, we especially welcome attention to Password research for approval by each authors institutional ethics review body ACM FAT* 2020 is using the FAT Conf 2020 HotCRP. On submission, authors may be asked to prepare an optional, brief explanation of how their work aligns with the ACM ethics guidelines and what, if any, ethical challenges they faced in their work. 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. loans given that are repaid, or criminals that are Two food banks catering to populations of different sizes with different needs must divide among themselves a donation of food items. statistics, law, social sciences, the humanities, and education. He. The third annual ACM FAT* Conference brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. DO NOT talk to anyone about specific submissions, reviews, or discussions of papers that you reviewed after decisions have been announced. Archival and Non-archival Submissions. storage of sensitive data, voluntary and informed consent if users are FAccT '23: 2022 ACM Conference on Fairness, Accountability, and Transparency June 27 - 30, 2023 Chicago , IL , USA questions. sufficient. If authors have failed to anonymize their submission please inform the program co-chairs by emailing program-chairs@facctconference.org. 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. We Beginning next year, submissions for FAccT 2022 statistics, the humanities, and law. welcome scholarship in dialogue with fairness, accountability, and Our research community is multidisciplinary in its make-up and orientation. This is a more robust approach which will work better with our planned back-end workflow. 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. context but not reduce a submission's chance of acceptance. Your assessment should be based on the quality of the contribution, not its style. 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. HotCRP.com signin Sign in using your HotCRP.com account. present their work at the FAccT 2021 conference, regardless of whether ACM FAccT 2021 offers authors the It is in your best interest to provide your preferences during the bidding phase. personal and professional concern, but also a perennial focus of FAccT Papers that are neither in ACM format nor follow the simplified formatting rules, or papers exceeding the specified page length, may be rejected without review. soundness and justification of the submission, just as it does its paper is accepted, authors will have to reformat their paper in the ACM The Overall Score for each submission should reflect your assessment of the submissions contributions. There is one key exception. last year, papers and position papers are in scope for the You should not let the authors identities influence your decision in any way. Archival papers [1] Always be constructive and help the authors understand your viewpoint, without being dismissive or using inappropriate language. 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. consider dimensions beyond individual decisions, including equity Please describe and consider the strengths of the submission. 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. Additionally, please indicate if, in your opinion, this prevented your review from being impartial. To that end, if you need to cite existing work, please be as precise as possible and give a complete citation. formatting rules, or papers exceeding the specified page length, may be 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. (27.9% acceptance rate). 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. Your video must have *embedded* captions (see next section). 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. Stability against changes in data distribution is an important mandate for responsible deployment of models. Best can be defined in a variety of ways, including quality, clarity, originality, interdisciplinarity and significance. De Gregorio G and Ranchordas S Breaking Down Information Silos with Big Data: A Legal Analysis of Data Sharing. previously appeared in non-archival venues such as workshops without preliminary title and abstract should be representative of the submitted 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). 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? FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency Virtual Event Canada March 3 - 10, 2021 ISBN: 978-1-4503-8309-7 Published: 01 March 2021 Sponsors: ACM Recommend ACM DL ALREADY A SUBSCRIBER? 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. users, choose format=sigconf with a two-column format. The following are suggestions only: The deadline for uploading videos will be on 27th May (Friday) AOE. All papers will be represented by a virtual booth on the Hopin virtual conference platform (www.hopin.com). network information), must follow basic precepts of ethical research and 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. On submission, authors may be If you have further questions about video format, please direct them to virtual@facctconference.org. 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. publication archive. Contrastive Learning with Complex Heterogeneity. He. These works may be submitted as-is or in an extended form. (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. Optionally, authors can upload supplementary materials (e.g., There is one key exception. In such applications, individuals should have the ability to change the decision of the model. 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? 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. Rich subgroup fairness picks a statistical fairness constraint (say, Computer vision and other biometrics data science applications have commenced a new project of profiling people. You may The results are well-grounded and conclusions avoid exaggerating the merits of the work.. These tests are often run on their websites without explicit consent from users. ACM Conference on Fairness, Accountability, and Transparency 2022 (ACM FAccT 2023) Call For Papers. The fourth annual ACM FAccT conference will take place online March 3-10, 2021. Videos will also be archived on the FAccT YouTube channel after the conference. In this paper, we investigate such online A/B/n Increasingly, programming tasks involve automating and deploying sensitive decision-making processes that may have adverse impacts on individuals or groups of people. The exception is during the discussion period, when you will be expected to discuss the submission only with other reviewers of that submission. Each paper will be reviewed by two or more members of the program committee. Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. learnings from this optional experiment to guide FAccT conference work This paper uses a theory of oppression to ground and extend algorithmic oppression. You should explain these values in the "Detailed Comments " text field. . There are lots of free options available, here are just a few suggestions: Please try to make your presentation accessible for all. The ACM Digital Library is published by the Association for Computing Machinery. 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. Archival papers deadlines are at 11:59 PM anywhere on earth (AoE) on the given date. 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.