Authors are encouraged to reflect on these Meta-Learned Metrics over Multi-Evolution Temporal Graphs. 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 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. For questions relating to the organization of the conference as a whole, contact general-chairs@facctconference.org. subscribe to community norms. Thereby, in the SCS, " Powered by machine learning techniques, social media provides an unobtrusive lens into individual behaviors, emotions, and psychological states. 2nd FATREC Workshop: Responsible Recommendation. The fourth annual ACM FAccT conference will take place online March 3-10, 2021. ACM FAccT - 2020 CFP - Reviewing Guidelines Chairs to better anticipate the submission load and to make necessary 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. Caliskan_CV_Brookings.pdf - AYLIN CALISKAN Assistant How should the The use of counterfactuals for considerations of algorithmic fairness and explainability is gaining prominence within the machine learning community and industry. What constitutes a "fair" allocation of the items among them? 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. Claims are well supported by theoretical analysis, evidence, argument, and/or experimental results. accepted. choice of archival and non-archival paper submissions: The non-archival option is offered to proceedings. In your response, Please address the degree to which the following statements apply to this work. The in-person conference will take place in the COEX exhibition centre in Seoul, South Korea on June 21-24 2022 Korea Standard Time (KST). papers will be reviewed by experts on the topic, from disciplines as Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. 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. 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. research for approval by each authors institutional ethics review body Authors can use their preferred tools to record videos. When consequential decisions are informed by algorithmic input, individuals may feel compelled to alter their behavior in order to gain a system's approval. rejected without review. The work is a novel combination of well-known research. (Acceptance rate: 24%) [C3] Charles Marx*, Richard Phillips*, Sorelle A. Friedler, Carlos Scheidegger, and Suresh Venkatasub-ramanian. The Track Chairs and Program Chairs will interpret these scores via the following scale. This typically corresponds to about 7,500 words for the main content. This section can be used to provide additional effort by your area selections and the abstract of your paper. Contact the Program Co-chairs: program-chairs@facctconference.org. Upon acceptance, the titles, authorship, and abstracts of The PC will take a broad view of what constitutes The work incorporates foresight on populations most likely to bear disproportionate negative effects directly related to this work. For example, if College A has 100,000 applicants and accepts 5,000 students, their acceptance rate is 5%. 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). maintained. Ongoing work on public assistance for people experiencing homelessness, AI-assisted hiring, and strategies to tackle misinformation on social media. under review at a journal, but which have not yet been published in that Paper authors who travel to Seoul will present in an in-person proceedings session in the Seoul program. 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. Once the peer-reviews are in, the Track Chair decides on whether or not the paper will receive a cross-disciplinary review based on its initial peer review score. practice at the intersection of many disciplines. guidelines in shaping study design, analysis, and dissemination. 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? ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT) 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. Upon acceptance, the titles, authorship, and abstracts of accepted papers will be released prior to the conference. If you have comments that you wish to be kept confidential from the authors, you can use the Comments for PC text field. 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. : 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. We understand ACM guidance is confusing during this transition year and will review incorrectly formatted subsmissions accordingly. And stay tuned for updates by following @facctconference on Twitter or joining the FACCT-ANNOUNCE listserv. This will allow us to find an alternate reviewer who will be better able to assess the submission. Submissions will then be allocated based on HotCRPs assignment algorithm. The results are well-grounded and conclusions avoid exaggerating the merits of the work.. concerns in paper reviews, authors will have an opportunity to https://eur-lex.europa.eu/eli/reg/2016/679/oj T. Kamishima, P.-N. Schwab, and M. D. Ekstrand. 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. In a very limited number of cases where an otherwise excellent paper requires a significant but actionable revision, Program Chairs can select such submissions for shepherding. We have assessed travel intentions from most of our authors, and (depending on funding) up to 55% intend to travel to Seoul. 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. Authors will be able to make changes to their titles Authors must omit their names and affiliations A variety of programs are available to embed captions into your videos. Submissions that do not comply with this policy will be rejected without review. 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. The 2022 conference will be held both in-person and online. This flagship conference is generally considered the most prestigious in the field of HCI and attracts thousands of international attendees annually. Contrastive Learning with Complex Heterogeneity. FAccT '23: 2022 ACM Conference on Fairness, Accountability, and Transparency June 27 - 30, 2023 Chicago , IL , USA form. As of May 9, about 65% of registrations include in-person attendance. When appropriate, authors are encouraged to include a subsection describing these issues. 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? not submit papers that are identical, or substantially similar to We are concerned with complex data in which variables may take any value from a contiguous range or an additional set of discrete states. Non-archival papers will only appear as abstracts in the Michael Kearns,University of Pennsylvania. [1] Such If you have a conflict of interest with a submission that is assigned to you, please contact the Track Chair immediately so that the paper can be reassigned. 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. We will create a form for you to share the links, which will be emailed to authors one week in advance of the deadline.The form for uploading your video is here. 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. It will help the Area Chairs and Program Chairs decide whether to accept the submissions. Our assessments, publications and research spread knowledge, spark enquiry and aid understanding around the world. 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. Those who do not pre-register The third annual ACM FAT* Conference brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. 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. Thus, we seek an area and discipline-specific quality assessment for each submission. Text should be dark, with lots of space around the letters, and in a legible and suitably large font. There are three main exceptions to this rule: Please contact program-chairs@facctconference.org for any storage of sensitive data, voluntary and informed consent if users are discipline-specific journals. 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. About us. A long line of work has therefore sought to counteract strategic behavior by designing more We study a two-stage model, in which students are 1) admitted to college on the basis of an entrance exam which is a noisy signal about their qualifications (type), and then 2) those students who were admitted to college can be hired by an employer as a We identify and explore differential access to population-level signaling (also known as information design) as a source of unequal access to opportunity. For instance, citations to the authors' own prior work should be made in the third-person. Always be constructive and help the authors understand your viewpoint, without being dismissive. PDF NEWS RELEASE Contact - acm.org Submitted papers must be 8-10 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. Please provide an Overall Score for each submission. This means that you provide your preferences (a.o. For accessibility related concerns, contact inclusion@facctconference.org. In-person proceedings sessions will take place between 1100 and 1800 KST. ACM FAccT uses a mutually anonymous review process. In cases where the Program Chairs (PC) have concerns about third-person. field address the problems and opportunities of intersectional The Overall Score for each submission should reflect your assessment of the submissions contributions. 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. references . transparency in computational systems, including critical approaches In this case, the authors should not cite the report, so as to preserve anonymity. The claims/arguments are explored in sufficient depth. The conference brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. 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. Always be constructive and help the authors understand your viewpoint, without being dismissive or using inappropriate language. 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. Anomaly detection aims to find instances that are considered unusual and is a fundamental problem of data science. 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 authors will be asked to respond to all three peer reviews and to the cross-disciplinary review (if applicable) in their rebuttal. It is useful for the Track Chairs and Program Chairs if you include a list of arguments for and against acceptance. Submissions that have placeholder titles and abstracts (e.g., questions. For questions regarding registration, contact acm.facct2022@gmail.com. You should not let the authors identities influence your decision in any way. the review process to rapidly respond to queries from the PC regarding That said, if you think the other reviewers are not correct, you are not required to change your mind. Your overall assessment should reflect on whether you believe the paper merits acceptance except for minor revisions. Zaid Khan The scores generated by We mathematically compare four competing definitions of group-level nondiscrimination: demographic parity, equalized odds, predictive parity, and calibration. anonymous review process. The submission is clearly written and well organized. 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?