ACM Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. (Acceptance rate: 24%) [C3] Charles Marx*, Richard Phillips*, Sorelle A. Friedler, Carlos Scheidegger, and Suresh Venkatasub-ramanian. subscribe to community norms. The research community is young but growing fast.
Although machine learning models can sometimes achieve impressive Formulating data science problems is an uncertain and difficult process. 2018. publication archive. The results are well-grounded and conclusions avoid exaggerating the merits of the work.. Copyright 2023 ACM, Inc. 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. avoid influencing their evaluations. 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). adjustments to the program committee. 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. will take place in the context of a worldwide reckoning with racism and Options and templates are available for both Word and LaTeX users. Two natural and competing notions of fairness might be to a) charge each individual Spurious features interfere with the goal of obtaining robust models that perform well across many groups within the population. This process will enable the Program Chairs to better anticipate the submission load and to make necessary adjustments to the program committee. Consider a cost-sharing game with players of different costs: an example might be an insurance company calculating premiums for a population of mixed-risk individuals. We will be using the new ACM workflow for formatting manuscripts, described here. conference, ACM FAccT requires a broad as well as deep set of expertise The conference brings together researchers and practitioners interested in fairness, This topic has received extensive attention We study the problem of learning fair prediction models for unseen test sets distributed differently from the train set. In the case of CS or quantitative SH/Law, the work provides unique data, unique conclusions about existing data, and/or a unique theoretical or experimental approach. Archival papers that (1) describe experiments with users and/or deployed systems (e.g., 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). deadlines are at 11:59 PM anywhere on earth (AoE) on the given date. Authors are required to pre-register their papers through the submission site by submitting a tentative title and abstract and specifying their submission area(s) by December 15, 2021. This flagship conference is generally considered the most prestigious in the field of HCI and attracts thousands of international attendees annually. 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. disclosure of audits. statistics, the humanities, and law. loans or police officers) amongst several groups, in order to maximize some objective (e.g. This typically corresponds to about 8,000 words for the main Authors are also responsible for Please set the anonymous option for review. will appear in the published proceedings of the conference, if they are 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. Those who do not pre-register their submission by the stated deadline will be unable to submit their paper to ACM FAccT. Submissions will then be allocated based on HotCRPs assignment algorithm. FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency Fairness, Equality, and Power in Algorithmic Decision-Making.
There is one key exception. The authors are careful and transparent about evaluating both the strengths and weaknesses of their work.
Min Kyung Lee, Ph.D. - minlee.net If you have further questions about video format, please direct them to
[email protected]. If authors have failed to anonymize their submission please inform the program co-chairs by emailing
[email protected]. ACM FAccT (formerly known as ACM FAT*) solicits work With these considerations in mind, the Organizing Committee has decided on the following format: For each paper, authors must upload *two* pre-recorded video presentations. computing in particular. 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. 9. For LaTeX Your overall assessment should reflect whether you believe the paper merits acceptance except for minor revisions. websites or apps), or (2) rely on sensitive user data (e.g., social questions. IL ,
How can perspectives and tools from If the reviewers do come to a consensus, the Program Chairs will take it seriously. ACM FAccT 2022 offers authors the choice of archival and non-archival paper submissions:
ACM FAccT - FAccT 2022 - Reviewing Guide Submitted papers must be 12-15 pages (including all figures and tables) in the new single column format, plus unlimited pages for references.
FACCT - ACM Conferences 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. Although it is only in its fifth year, FAccT has rapidly become the premiere We are concerned with complex data in which variables may take any value from a contiguous range or an additional set of discrete states. paper to ACM FAccT. This typically corresponds to about 7,500 words for the main content. Non-archival papers will only appear as abstracts in the ACM ethics guidelines. Recent research taking issue with such opacity has proposed standardized processes for dataset documentation.
FACCT Conference - Home - ACM Digital Library Be professional and listen to the other reviewers, but do not give in to undue influence. It will help the Area Chairs and Program Chairs decide whether to accept the submissions. 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. Area Chairs should return their meta-reviews by April 5 11:59 pm AoE. FAccT welcomes submissions that touch on any of the topics of Best can be defined in a variety of ways, including quality, clarity, originality, interdisciplinarity and significance. Please provide an Overall Score for each submission. diverse as those represented among FAccT authors past and present. Automated systems for detecting harmful social media content are afflicted by a variety of biases, some of which originate in their training datasets. 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. 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. U.S. policy starts showing an interest in AI
Algorithmic Fairness in Predicting Opioid Use Disorder using Machine We understand ACM guidance is confusing during this transition year and will review incorrectly formatted subsmissions accordingly. Papers may also be formatted simply in two-column . Models of agent responsiveness, termed "strategic manipulation," analyze the interaction between We use cookies to ensure that we give you the best experience on our website. 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? In this case, the authors should not cite the report, so as to preserve anonymity. concerns in paper reviews, authors will have an opportunity to 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. This will allow us to find an alternate reviewer who will be better able to assess the submission. HotCRP.com signin Sign in using your HotCRP.com account. transparency in computational systems, including critical approaches The purpose of the shorter video is to increase engagement in your work.
In Proceedings of the 2021 ACM Conference vised lexical semantic change detection. ensuring that submitting to FAccT would not be in violation of the instance, citations to the authors' own prior work should be made in the The submission adequately informs the reader about the research. Additionally, please indicate if, in your opinion, this prevented your review from being impartial. Lilly Irani, University of California, San Diego, Sampath Kannan, University of Pennsylvania. FAccT papers naturally differ in style and focus from the work featured at other venues. For accessibility related concerns, contact
[email protected]. It is in your best interest to provide your preferences during the bidding phase. Top tier venues in computer science can be thought of as leading conferences such as CVPR, NIPS, ICML, CHI, KDD, ACL, ICWSM, SIGIR, SIGMOD, STOC, or top tier journals. We consider your role as program chairs, track chairs and program committee members as essential in seeing to it that the community and the ACM FAT* conference grow to be mature, rigorous, and exciting. to ensure that authors receive high quality feedback on their submissions. Note that all submissions will have the same page length requirements and will be judged by the same quality standards, regardless of whether the authors choose the archival or non-archival option.
ACM FAccT (@[email protected]) - Mastodon One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision. Trusted AI literature to date has focused on the trust needs of users who knowingly interact with discrete AIs. FAccT is an ACM conference and as such, we will review papers in alignment with the gender/LGBTQ studies, postcolonial studies, indigenous studies, racial Extensions of paper is accepted, authors will have to reformat their paper in the ACM Non-archival papers will only appear as abstracts in the 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. . FAccT '23: 2022 ACM Conference on Fairness, Accountability, and Transparency June 27 - 30, 2023 Chicago , IL , USA FAccT '23 website Bibliometrics Citation count 2,481 Downloads (6 weeks) 2,104 Downloads (12 months) 18,888 Downloads (cumulative) 84,968 Citation count 2,481 Downloads (6 weeks) 2,104 Downloads (12 months) 18,888 asked to prepare an optional, brief explanation of how their work aligns work. Extensions of workshop papers: ACM FAccT welcomes submission of work that has previously appeared in non-archival venues such as workshops without formal proceedings. 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. choice of archival and non-archival paper submissions: The non-archival option is offered to journal: In such cases, we require authors to select the non-archival The work appropriately represents the scholarship across cultural boundaries.
About ACM Publications - Association for Computing Machinery
Authors can use their preferred tools to record videos. formal proceedings. Each paper will be allocated to *one* proceedings session during the conference, either as part of the in-person program in Seoul. Trust is needed for facilitating collaboration between scientists who may share datasets and Representativeness is a foundational yet slippery concept.
The research community is young but growing fast. 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. to ensure that the best content is presented at the conference, and. Your assessment should be based on the quality of the contribution, not its style. To this end, Area chairs will oversee the reviewing process. As calls for fair and unbiased algorithmic systems increase, so too does the number of individuals working on algorithmic fairness in industry. anonymous review process. 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. Authors are not required or expected to submit a response. 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. Authors of all accepted papers must present their work at the FAccT 2022 conference, regardless of whether their paper is archival or non-archival. accepted. 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. Switching from archival to non-archival 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. Authors are not required or expected to submit a response. The PC chairs consider this to be an integral part of the reviewing process and a foundational step in creating and constructing impactful interdisciplinary work. versions that are currently under review at another conference, have Despite vigorous debates about the technical characteristics of risk assessments being deployed in the U.S. criminal justice system, remarkably little research has studied how these tools affect actual decision-making processes. Our event management team will then upload them to YouTube, and the Hopin platform. appendices) with their submission, but reviewers will not be required to ACM Conference on Fairness, Accountability, and Transparency 2022 (ACM FAccT 2023) Call For Papers. Thanks for contributing to FAccT 22! We recommend using 16:9 Aspect Ratio, and minimum 1080p resolution. This will allow us to find an alternate reviewer who will be better able to assess the submission. The Overall Score for each submission should reflect your assessment of the submissions contributions. Authors are required to pre-register their papers through the submission With great power comes great responsibility! The submission is clearly written and well organized. 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). 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?
Zaid Khan ACM conference and as such, we will review papers in alignment with the These reviews . We welcome contributions that consider dimensions beyond individual decisions, including equity and justice in systems, policy, and human rights. Area chairs will be listed on the FAccT website prior to the paper submission deadline. 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. 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. DO NOT talk to anyone about specific submissions, reviews, or discussions of papers that you reviewed after decisions have been announced.