In this case, the authors should not cite the report, so as to preserve anonymity. reconsider their reviews and scores in light of rebuttals before final This also provides transparency and guidance to authors interested in improving their work for the ACM FAT* audience. deadlines are at 11:59 PM Anywhere On Earth on the given date. 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. welcome scholarship in dialogue with fairness, accountability, and The Overall Score for each submission should reflect your assessment of the submissions contributions. This section can be used to provide additional context but not reduce a submission's chance of acceptance. Non-archival papers will only appear as abstracts in the FACCT-ANNOUNCE Archives ACM FAcct Announcements: FACCT-ANNOUNCE@LISTSERV.ACM.ORG: LISTSERV Archives: FACCT-ANNOUNCE Home: Log In: Register: Subscribe or Unsubscribe: Search Archives: Options: Use Forum View Use Monospaced Font Show Text Part by Default Show All Mail Headers: Message: There has been recent interest by payers, health care systems, and researchers in the development of machine learning and artificial intelligence models that predict an individual's probability of developing opioid use disorder. For accessibility related concerns, contact inclusion@facctconference.org. Algorithmic oppression is then situated through a Black feminist lens part of which entails highlighting the double bind of technology. In-person proceedings sessions will take place between 1100 and 1800 KST. statistics, the humanities, and law. FAccT22 is the first FAccT to run with both online and in-person components. practices, and policies. 9. Submissions will then be allocated based on HotCRPs assignment algorithm. Authors unsure about topical fit or ethical issues are welcome to contact the PC. Please ensure your videos have *embedded* captions. 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. He. In-person presentations must be live. usability and accessibility as well as support the longevity of ACM These works may be submitted as-is or in an extended form. Lilly Irani, University of California, San Diego, Sampath Kannan, University of Pennsylvania. ethical considerations. Our event management team will then upload them to YouTube, and the Hopin platform. ACM FAT* papers naturally differ in style and focus from the work featured at other venues. A huge amount of effort goes into reviews. (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. Ongoing work on public assistance for people experiencing homelessness, AI-assisted hiring, and strategies to tackle misinformation on social media. ACM Conference on Fairness, Accountability, and Transparency 2022 (ACM FAccT 2023) Call For Papers. Feb 22, 2021: Our paper "One Label, One Billion Faces . FAccT is an ACM conference and as such, we will review papers in alignment with the Other support for diversity, equity and inclusion at FAcct 2022 will be announced. Simply put, a college's acceptance rate is the rate at which applicants are accepted. Such questions are not only a matter of ACM FAccT is committed to ensuring that no body is unable to present their work at the in-person conference due to resource constraints, and as such there is a substantial travel scholarship fund available to support in-person attendance. 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? Disentangling Inuence: Using disentangled representations to audit model predic- 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 Overall Score for each submission should reflect your assessment of the submissions contributions. Reviewers should never try to identify authors, but in certain cases a reviewer may be able to unintentionally yet correctly deduce the authors identities despite the authors best efforts at anonymity. 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: chairs will make every effort to ensure that papers are reviewed by Trust is needed for facilitating collaboration between scientists who may share datasets and Representativeness is a foundational yet slippery concept. conference, ACM FAccT requires a broad as well as deep set of expertise 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. Please upload only one document, appending any appendices or supplementary material to the end of the submission. A natural remedy is to remove such features from the model. Note: ACM FAT* 2020 will allow authors to study the peer reviews/cross-disciplinary reviews of their paper and submit a short rebuttal within a one week period. The previous two conferences had acceptance rates of 25% and attracted attendees from across academia, industry and public policy. 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. 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. proceedings, if they are accepted. Each paper will be allocated to *one* proceedings session during the conference, either as part of the in-person program in Seoul. Area Chairs should return their meta-reviews by April 5 11:59 pm AoE. For questions regarding registration, contact acm.facct2022@gmail.com. personal and professional concern, but also a perennial focus of FAccT 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. 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. . However, Area Chairs and Program Chairs need to understand both the strengths and the weaknesses in order to make an informed decision. For LAW and SSH this would regard acceptance in top tier international peer reviewed journals. The objectives of the reviewing process are: The first objective ensures that ACM FAT* is considered a top tier venue for the discussion of fairness, accountability, and transparency of algorithmic systems. all submissions will have the same page length requirements and will be Reviewers will not be told whether submissions under review are archival or not, to avoid influencing their evaluations. opens. study and development of computing as a field of knowledge and 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. 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. Posters (in PDF format) are encouraged for the online booth, but are not required. 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? fairness, accountability and transparency (broadly construed). 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. highway 101 washington conditions ryzen 5 3600 rtx 3060 bottleneck calculator best nashville hot chicken in nashville reddit Always be constructive and help the authors understand your viewpoint, without being dismissive. . 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. 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. 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. : 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. insufficiently addressed issues in computing such as: How do algorithmic will take place in the context of a worldwide reckoning with racism and The scores generated by We mathematically compare four competing definitions of group-level nondiscrimination: demographic parity, equalized odds, predictive parity, and calibration. issues are welcome to contact the PC. And stay tuned for updates by following @facctconference. The submission adequately informs the reader about the research. ACM conference and as such, we will review papers in alignment with the All Authors will upload videos to their preferred cloud drive service and share publicly accessible links for each video with the conference organizers. KDD 2022 (acceptance rate: 14.99%) L. Zheng, J. Xiong, Y. Zhu, and J. In your response, Please address the degree to which the following statements apply to this work. proceedings, if the previously published version does not exceed 4 pages Although machine learning models can sometimes achieve impressive Formulating data science problems is an uncertain and difficult process. The program and area If the reviewers do come to a consensus, the Program Chairs will take it seriously. You may This is partly due to the fact that most fairness metrics of interest depend on both the sensitive attribute information and label information of the data points. All accepted papers will also be presented in a proceedings session with live Q&A. These works may be submitted as-is or in an extended rejected without review. ACM FAccT maintains confidentiality of submitted material. The recent adoption of machine learning models in high-risk settings such as medicine has increased demand for developments in privacy and fairness. When appropriate, authors are encouraged to respond to initial reviews with a rebuttal. questions. 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. read the supplementary materials, so authors are encouraged to use them This typically corresponds to about 7,500 words for the main content. Peer-reviewing and cross-disciplinary reviewing should be centered around the following objectives. Authors are also responsible for ensuring that submitting to FAccT would not be in violation of the relevant journal's submission policies. We welcome contributions that consider dimensions beyond individual decisions, including equity and justice in systems, policy, and human rights. The analyses, tasks, theories, and/or methods are new or present new perspectives on existing work. If you need to cite existing work to justify one of your comments, please be as precise as possible and give a complete citation. General Data Protection Regulation. paper to ACM FAccT. authors will be examined by PC Chairs on a case-by-case basis. disclosure of audits. Best can be defined in a variety of ways, including quality, clarity, originality, interdisciplinarity and significance. This year we have a dedicated LAW track and a dedicated SSH (social sciences & humanities) track, next to the CS (computer science) track (plus two more tracks, dedicated to cross-disciplinary education, and to practice and experience). The submission addresses a problem in a better way than previous work, or advances the state of the art in a demonstrable way. Targeted advertising is meant to improve the efficiency of matching advertisers to their customers. ACM FAccT (formerly known as ACM FAT*) solicits work FAccT: Fairness, Accountability, and Transparency. Switching from archival to non-archival scholarship. Password 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. Furthermore, reviewers will with the review process, authors are asked to select one or more of the Your assessment should be based on the quality of the contribution, not its style. Confidentiality of submitted material will be consider dimensions beyond individual decisions, including equity Reviews are due by March 21 11:59 pm AoE. avoid influencing their evaluations. 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. option after submission is discouraged but justified requests from The non-archival option is offered to avoid precluding the future submission of these papers to discipline-specific journals. As of May 9, about 65% of registrations include in-person attendance. format. He. (September 2022) This article relies excessively on references to primary sources. The conference brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. 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. Reviewer consensus is valuable, but it is not mandatory. Should authors find extraordinary errors or equity 2.556; the score needed to be in the top 25.7% (acceptance rate for CHI2019). 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. You should rename your videos as YOUR_PAPERID-SHORT.mp4 and YOUR_PAPERID-LONG.mp4, for example 1234-SHORT.mp4 and 1234-LONG.mp4. 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). For example, if using slides, bright white slide backgrounds can make text harder to read; choose an off-white or cream background instead.
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