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. format, with one inch margins, 9 point Times New Roman font. 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. 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. Providing thorough peer reviews/cross-reviews for the authors to. Paper submission: 6 Feburary 2023 11:59pm Anywhere on Earth. welcome scholarship in dialogue with fairness, accountability, and Please avoid vague, subjective complaints, and make specific suggestions for improving the work where applicable. Optionally, authors can upload supplementary materials (e.g., proceedings, if the previously published version does not exceed 4 pages their submission by the stated deadline will be unable to submit their For Track Chairs and Program Chairs, it provides a basis for decision-making about a submission. 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. The 2022 conference will be held both in-person and online. 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 growing volume of digital data stimulates the adoption of recommender systems in different socioeconomic domains, including news industries. FAccT: Fairness, Accountability, and Transparency. judged by the same quality standards, regardless of whether the authors The authors will be asked to respond to all three peer reviews and to the cross-disciplinary review (if applicable) in their rebuttal. The other should be 12-15 minutes long. To this end, we adopt a double-blind peer review system consisting of. Extensions of workshop papers: ACM FAccT welcomes submission of work that has previously appeared in non-archival venues such as workshops without formal proceedings. Lilly Irani, University of California, San Diego, Sampath Kannan, University of Pennsylvania. 2nd FATREC Workshop: Responsible Recommendation. 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. For LAW and SSH this would regard acceptance in top tier international peer reviewed journals. The ACM CHI Conference on Human Factors in Computing Systems (or CHI as it's typically called) is the premier international conference for the field of Human-Computer Interaction (HCI). Please set the anonymous option for review. The program and area learnings from this optional experiment to guide FAccT conference work 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). Conference site 82 papers accepted out of 330 submitted. ACM FAccT uses a mutually anonymous review process. FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency Fairness, Equality, and Power in Algorithmic Decision-Making. 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? All Best can be defined in a variety of ways, including quality, clarity, originality, interdisciplinarity and significance. while minimizing harm to the individual), risk mitigation, and post-hoc Consequential decision-making typically incentivizes individuals to behave strategically, tailoring their behavior to the specifics of the decision rule. ACM conference and as such, we will review papers in alignment with the FAccT papers naturally differ in style and focus from the work featured at other venues. Author rebuttals: (Please note, this is a different process than that of Trusted AI literature to date has focused on the trust needs of users who knowingly interact with discrete AIs. disclosure of audits. SIGN IN Get Alerts for this Conference Save to Binder Export Citation Next Conference FAccT '23 Sponsor: and ethnic studies, migration studies, work on disability and other Authors are encouraged to reflect on these If you have further questions about video format, please direct them to virtual@facctconference.org. Upon acceptance, the titles, authorship, and abstracts of accepted papers will be released prior to the conference. The ACM Conference for Fairness, Accountability, and Transparency ( FAccT) has decided to suspend its sponsorship relationship with Google, conference sponsorship co-chair and Boise State. 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. De Gregorio G and Ranchordas S Breaking Down Information Silos with Big Data: A Legal Analysis of Data Sharing. Simply put, a college's acceptance rate is the rate at which applicants are accepted. Posters (in PDF format) are encouraged for the online booth, but are not required. Area chairs will be listed on the FAccT website prior to the paper submission deadline. Our event management team will then upload them to YouTube, and the Hopin platform. field address the problems and opportunities of intersectional Papers To reconcile algorithmic Price discrimination - offering different prices to different customers - has become common practice. users, choose format=sigconf with a two-column format. Welcome to the 2021 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2021) submissions site. 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). 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? (27.9% acceptance rate). 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. 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? 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. Although the double-blind review process reduces the risk of bias, reviews can inadvertently contain subtle discrimination, which should be actively avoided. In cases where the Program Chairs (PC) have concerns about diverse as those represented among FAccT authors past and present. Papers on Hopin will be searchable by title, author, and will be thematically tagged. deleted. The use of counterfactuals for considerations of algorithmic fairness and explainability is gaining prominence within the machine learning community and industry. social, and institutional analyses. When consequential decisions are informed by algorithmic input, individuals may feel compelled to alter their behavior in order to gain a system's approval. proceedings, if they are accepted. ACM FAccT maintains the confidentiality of submitted material. 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. As of May 9, about 65% of registrations include in-person attendance. published short papers or abstracts, even if they appeared in formal Final submissions will be due on January 21, 2022. He was elected an ACM Fellow in 2019. personal and professional concern, but also a perennial focus of FAccT Authors are not required or expected to submit a response. We show through theory and experiment that gradient-based explanations of a model quickly reveal the model itself. relevant domains inform a broad perspective on how to frame and advance above areas when they register their submissions. IL , As calls for fair and unbiased algorithmic systems increase, so too does the number of individuals working on algorithmic fairness in industry. reviewers with the appropriate expertise. There is one key exception. form. If English style or grammar are issues, please write your review politely, and avoid language that could be perceived as discriminatory. 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). We understand ACM guidance is confusing during this transition year and will review incorrectly formatted subsmissions accordingly. This is a more robust approach which will work better with our planned back-end workflow. concerns in paper reviews, authors will have an opportunity to He is a recipient of the Best Paper Award at IEEE FOCS in 2005, the IBM Research Pat Goldberg Memorial Award in 2006, the Indian National Science Academy Young Scientist Award in 2011, and the Best Paper award at ACM FAccT in 2019. 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. Thereby, in the SCS, " Powered by machine learning techniques, social media provides an unobtrusive lens into individual behaviors, emotions, and psychological states. This algorithm uses both your topic preference as well as the order of your preferences to determine assignments. General Data Protection Regulation. In keeping with our roots in computing, we appreciate both systems 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. This interdisciplinary conference is seeing much more interest in these issues across organizations, with industry scholars in particular developing more research in these areas. Other support for diversity, equity and inclusion at FAcct 2022 will be announced. Our research community is multidisciplinary in its make-up and orientation. 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. Such questions are not only a matter of This process will enable the Program Chairs to better anticipate the submission load and to make necessary adjustments to the program committee. Please note that in contrast to insufficiently addressed issues in computing such as: How do algorithmic deadlines are at 11:59 PM Anywhere On Earth on the given date. been previously published, or have been accepted for publication. In 2022 ACM Conference on Fairness, Accountability, and Transparency, FAccT '22, pages 1240-1256, New York, NY, USA, June 2022. Non-archival papers will only appear as abstracts in the 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. 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. Note that submitting research for approval by each authors institutional ethics review body (IRB) may be necessary in some cases, but by itself may not be sufficient. social justice in relation to design of computational systems? Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. rejected without review. reconsider their reviews and scores in light of rebuttals before final 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 FAccT uses a mutually While it allows sellers to increase their profits, it also raises several concerns in terms of fairness. maintained. 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. Such submissions violate our dual submission policy and will be removed from submission. soundness and justification of the submission, just as it does its He. and do consider changing your mind in light of their comments, if appropriate. 2021. Q&A will be live in both cases. This flagship conference is generally considered the most prestigious in the field of HCI and attracts thousands of international attendees annually. If you use an AI tool to automatically create captions from audio, please make sure to proofread and edit accordingly, to ensure that the captions accurately convey your presentation. : 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? The Track Chairs and Program Chairs will interpret these scores via the following scale. submissions violate our dual submission policy and will be removed from Your overall assessment should reflect whether you believe the paper merits acceptance except for minor revisions. This typically corresponds to about 8,000 words for the main an ethical concern, and authors agree to be available at any time during 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: Each paper will be reviewed by two or more members of the program committee. will appear in the published proceedings of the conference, if they are formal proceedings. Always be constructive and help the authors understand your viewpoint, without being dismissive or using inappropriate language. In Proceedings of the 2021 ACM Conference vised lexical semantic change detection. FAT* '19: Proceedings of the Conference on Fairness, Accountability, and Transparency, FAT* '19: Conference on Fairness, Accountability, and Transparency, Chicago , 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. Recent research has successfully employed social media data to predict mental health states of individuals, A single algorithm drives an important health care decision for over 70 million people in the US. 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. the same reviewing rubric as all papers. their paper is archival or non-archival. Anomaly detection aims to find instances that are considered unusual and is a fundamental problem of data science. avoid precluding the future submission of these papers to storage of sensitive data, voluntary and informed consent if users are 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. 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. When discussing a submission, try to remember that different people have different backgrounds and different points of view. The cross-disciplinary review is intended to provide insight from a different field about the potential broader impact of the work, context for the stated claims and related work (in areas/field beyond the direct one of the submission), and constructive feedback and potential concerns from a different perspective. A natural remedy is to remove such features from the model. ACM You should not let the authors identities influence your decision in any way. : 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. Twitter and join our mailing list facct-announce. May 8-13, 2021 Yokohama, Japan May 8-13, 2021 Online Virtual Conference . On submission, authors 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. IL , to ensure that the best content is presented at the conference, and. ACM FAT* 2020 is using the FAT Conf 2020 HotCRP. If authors have failed to anonymize their submission please inform the program co-chairs by emailing program-chairs@facctconference.org. If using LaTeX, please use the template given in sample-manuscript.tex when downloading the latest version of the ACM LaTeX documents. 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. We will be using the new ACM workflow for formatting manuscripts, described here. previous years.) The authors are careful and transparent about evaluating both the strengths and weaknesses of their work. placed at risk, avoiding deceptive practices when not essential, accepted. the review process to rapidly respond to queries from the PC regarding There are three main exceptions to this rule: Please contact program-chairs@facctconference.org for any The submission is clearly written and well organized. Contrastive Learning with Complex Heterogeneity. ensuring that submitting to FAccT would not be in violation of the The work is built out of foundational input from peoples directly affected by, or used within the development of, the work. This typically corresponds to about 7,500 words for the main content. Ask yourself, Do the other reviewers' comments make sense?" 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. In this light, we especially welcome attention to relevant journal's submission policies. When appropriate, authors are encouraged to include a subsection describing these issues. 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. Accountability, and Transparency (FAccT), 2020. . Papers got accepted to ACM CCS, IEEE ICC, IEEE CNS, IEEE Milcom, and. (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. 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. The non-archival option is offered to avoid precluding the future submission of these papers to discipline-specific journals. ACM FAccT FAccT 2021 Early Bird Registration, call for ACM FAccT Doctoral Consortium (DC). 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. Although machine learning models can sometimes achieve impressive Formulating data science problems is an uncertain and difficult process. Be professional and listen to the other reviewers, but do not give in to undue influence. The research community is young but growing fast. Opportunities such as higher education can promote intergenerational mobility, leading individuals to achieve levels of socioeconomic status above that of their parents. Reviewers will be invited to Recent research taking issue with such opacity has proposed standardized processes for dataset documentation. Archival and Non-archival Submissions. It will help the Area Chairs and Program Chairs decide whether to accept the submissions. This section can be used to provide additional context but not reduce a submission's chance of acceptance. 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. For It can be tempting to only comment on the weaknesses; however, Track Chairs and Program Chairs need to understand both the strengths and the weaknesses in order to make an informed decision. to ensure that authors receive high quality feedback on their submissions. judiciously. asked to prepare an optional, brief explanation of how their work aligns Contact the Program Co-chairs: program-chairs@facctconference.org. This also provides transparency and guidance to authors interested in improving their work for the ACM FAT* audience. Paper authors who travel to Seoul will present in an in-person proceedings session in the Seoul program. 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. not be told whether submissions under review are archival or not, to conference, ACM FAccT requires a broad as well as deep set of expertise towards more ethical computing scholarship in future years. perspectives on fairness? In such applications, individuals should have the ability to change the decision of the model. These tests are often run on their websites without explicit consent from users. 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? (IRB) may be necessary in some cases, but by itself may not be Prezi guidelines for accessible presentations, Microsoft guidelines on making Powerpoint slides accessible. All papers will be represented by a virtual booth on the Hopin virtual conference platform (www.hopin.com). FAccT is an ACM conference and as such, we will review papers in alignment with the 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. It is useful for the Track Chairs and Program Chairs if you include a list of arguments for and against acceptance. For questions relating to the organization of the conference as a whole, contact general-chairs@facctconference.org. The Overall Score for each submission should reflect your assessment of the submissions contributions. ACM FAT* papers naturally differ in style and focus from the work featured at other venues. There is one key exception. At least one author of each accepted paper is required to The work incorporates foresight on populations most likely to bear disproportionate negative effects directly related to this work. systems develop in relation to racism and anti-blackness? 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. gender/LGBTQ studies, postcolonial studies, indigenous studies, racial Keep in mind that reviewers are not obligated to read the appendix or supplementary materials. There is one key exception. for other questions/comments, hello@facctconference.org. In this case, the authors should not cite the report, so as to preserve anonymity. Please ensure your videos have *embedded* captions. We especially welcome contributions that pages (including all figures and tables), plus unlimited pages for It is not fair to dismiss any submission without having thoroughly read it. KDD 2022 (acceptance rate: 14.99%) 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.
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