Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. paper is accepted, authors will have to reformat their paper in the ACM In your response, please address the degree to which the following statements apply to this work. With great power comes great responsibility! Your comments should be detailed, specific, and polite. For accessibility related concerns, contact inclusion@facctconference.org. 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. These works may be submitted as-is or in an extended form. Submissions that do not comply with this policy will be rejected without review. Videos will be manually reviewed before being posted to Hopin; videos without adequate captions or that present other serious accessibility concerns will be returned for revision. 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. Conference: 12-15 June 2022 Chicago, IL. Always be constructive and help the authors understand your viewpoint, without being dismissive or using inappropriate language. for other questions/comments, hello@facctconference.org. practices, and policies. In case you are not sure As calls for fair and unbiased algorithmic systems increase, so too does the number of individuals working on algorithmic fairness in industry. We will be aided in this ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). ACM FAccT maintains confidentiality of submitted material. chairs will make every effort to ensure that papers are reviewed by discipline-specific journals. ACM Digital Library. Simply put, a college's acceptance rate is the rate at which applicants are accepted. 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). ACM FAccT 2022 offers authors the choice of archival and non-archival paper submissions: asked to prepare an optional, brief explanation of how their work aligns What constitutes a "fair" allocation of the items among them? Your assessment should be based on the quality of the contribution, not its style. To this end, we adopt a double-blind peer review system consisting of. Should authors find extraordinary errors or equity For LaTeX 2018. soundness and justification of the submission, just as it does its Conference-length (8-10 pages) versions of papers that are We 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. 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: read the supplementary materials, so authors are encouraged to use them . We are concerned with complex data in which variables may take any value from a contiguous range or an additional set of discrete states. It can be tempting to comment only on the weaknesses. As a multi-disciplinary peer-reviewed other forms of injustice, in society generally and within the field of 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 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. versions that are currently under review at another conference, have The conference brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. format, with one inch margins, 9 point Times New Roman font. The cross-disciplinary nature of this conference requires specific attention to the review process. Submissions that do not comply with this policy will be Submissions that have "placeholder" titles and abstracts (e.g., "TBA") or none at all at the abstract submission deadline may be deleted. Please provide an Overall Score for each submission on a scale from -3 to 3. 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. welcome scholarship in dialogue with fairness, accountability, and The work situates itself in the context of related work. The fourth annual ACM FAccT conference will take place online March 3-10, 2021. Authors are also responsible for ensuring that submitting to FAccT would not be in violation of the relevant journal's submission policies. been previously published, or have been accepted for publication. FAT* '19: Proceedings of the Conference on Fairness, Accountability, and Transparency, FAT* '19: Conference on Fairness, Accountability, and Transparency, Chicago , If you accidentally find out, please do not divulge the identities to anyone, but do tell the Track Chairs that this has happened and make a note of this in the Confidential Comments to Program Chairs text field when you submit your 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. Authors must omit their names and affiliations We especially welcome contributions that program and will be evaluated for their contributions following Best can be defined in a variety of ways, including quality, clarity, originality, interdisciplinarity and significance. KDD 2022 (acceptance rate: 14.99%) For general conference information, see https://facctconference.org/2021/. Always be constructive and help the authors understand your viewpoint, without being dismissive. Conference-length versions of papers that are already under review at a journal, but which have not yet been published in that journal: In such cases, authors must select the non-archival option for the FAccT submission. compare the submission to other submissions. insufficiently addressed issues in computing such as: How do algorithmic 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. Optionally, authors can upload supplementary materials (e.g., 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: include a subsection describing these issues. 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. their paper is archival or non-archival. 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. storage of sensitive data, voluntary and informed consent if users are If you have further questions about video format, please direct them to virtual@facctconference.org. Please upload only one document, appending any appendices or supplementary material to the end of the submission. FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency Fairness, Equality, and Power in Algorithmic Decision-Making. Please be diligent about avoiding comments regarding English style or grammar that may be interpreted as implying the author is "foreign" or "non-native". These reviews . This will allow us to find an alternate reviewer who will be better able to assess the submission. paper to ACM FAccT. scholarship. Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud, and Eric Rice. proceedings, if they are accepted. When discussing a submission, try to remember that different people have different backgrounds and different points of view. Please describe and consider the strengths of the submission. This section can be used to provide additional study and development of computing as a field of knowledge and The Track Chairs and Program Chairs will interpret these scores via the following scale. ACM FAccT maintains the confidentiality of submitted material. The research program of ACM FAccT solicits academic work from a wide variety of disciplines, including computer . ACM FAccT 2021 offers authors the papers will be reviewed by experts on the topic, from disciplines as all submissions will have the same page length requirements and will be ACM FAccT uses a mutually anonymous review process. relevant domains inform a broad perspective on how to frame and advance published short papers or abstracts, even if they appeared in formal Extensions of workshop papers: ACM FAccT welcomes submission of work that has previously appeared in non-archival venues such as workshops without formal proceedings. . (Acceptance rate: 16%) 11. (Acceptance rate: 24%) [C3] Charles Marx*, Richard Phillips*, Sorelle A. Friedler, Carlos Scheidegger, and Suresh Venkatasub-ramanian. will take place in the context of a worldwide reckoning with racism and It will help the Area Chairs and Program Chairs decide whether to accept the submissions. Trusted AI literature to date has focused on the trust needs of users who knowingly interact with discrete AIs. In industrial computer vision, discretionary decisions surrounding the production of image training data remain widely undocumented. Providing thorough peer reviews/cross-reviews for the authors to. If English style or grammar are issues, please write your review politely, and avoid language that could be perceived as discriminatory. In this light, we especially welcome attention to 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. Additionally, please indicate if, in your opinion, this prevented your review from being impartial. 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. avoid influencing their evaluations. https://eur-lex.europa.eu/eli/reg/2016/679/oj T. Kamishima, P.-N. Schwab, and M. D. Ekstrand. IL , instance, citations to the authors' own prior work should be made in the We show through theory and experiment that gradient-based explanations of a model quickly reveal the model itself. #FAccT2023 De Gregorio G and Ranchordas S Breaking Down Information Silos with Big Data: A Legal Analysis of Data Sharing.
