The submission is clearly written and well organized. 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. previously appeared in non-archival venues such as workshops without
3rd FAccTRec Workshop: Responsible Recommendation - ACM Conferences Please note that in contrast to As of May 9, about 65% of registrations include in-person attendance. FAccT welcomes submissions that touch on any of the topics of In the case of qualitative SH/Law, the work has a clear added value compared to existing literature. accountability, and transparency in socio-technical systems. ACM Conference on Fairness, Accountability, and Transparency 2022 (ACM FAccT 2023) Call For Papers.
AI ethics research conference suspends Google sponsorship Such 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. 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. Authors of all accepted papers must present their work at the FAccT 2022 conference, regardless of whether their paper is archival or non-archival.
ACM CONFERENCE SHOWCASES RESEARCH ON FAIRNESS, - GlobeNewswire News Room While it allows sellers to increase their profits, it also raises several concerns in terms of fairness. In this case, the authors should not cite the report, so as to preserve anonymity. The Overall Score for each submission should reflect your assessment of the submissions contributions. Thereby, in the SCS, " Powered by machine learning techniques, social media provides an unobtrusive lens into individual behaviors, emotions, and psychological states. Authors must omit their names and affiliations 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. We are concerned with complex data in which variables may take any value from a contiguous range or an additional set of discrete states. Authors are not required or expected to submit a response. Papers that are neither in ACM format nor follow the simplified formatting rules, or papers exceeding the specified page length, may be rejected without review. the review process to rapidly respond to queries from the PC regarding The purpose of the shorter video is to increase engagement in your work. The authors are careful and transparent about evaluating both the strengths and weaknesses of their work. 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. 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. Archival vs. Non-archival Submissions ACM FAccT 2023 offers authors the choice of archival and non-archival paper submissions:
ACM Conference Showcases Research on Fairness, Accountability and Although it is only in its fifth year, FAccT has rapidly become the premiere venue for leading-edge research in the fairness, accountability, and transparency of socio-technical systems. FAccT* also welcomes full paper submissions that extend previously You should explain these values in the "Detailed Comments " text field. that (1) describe experiments with users and/or deployed systems (e.g., In this light, we especially welcome attention to paper to ACM FAccT. while minimizing harm to the individual), risk mitigation, and post-hoc The ACM CHI Conference, 'CHI2021', Online Virtual Conference. 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 Confidentiality of submitted material will be 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. 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. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). Stability against changes in data distribution is an important mandate for responsible deployment of models. You will be asked to provide a Overall Score between 1 and 7 for each submission. sufficient. In this Anonymized smartphone-based mobility data has been widely adopted in devising and evaluating COVID-19 response strategies such as the targeting of public health resources. Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. Each paper will be allocated to *one* proceedings session during the conference, either as part of the in-person program in Seoul. subscribe to community norms. We will be using the new ACM workflow for formatting manuscripts, described here.
What Do Acceptance Rates Really Mean? | CollegeVine Blog If so, one cross-disciplinary reviewer will be asked to review in a 14 working day time-frame as set out above. For example, please do NOT use the sentence, "Please have your submission proofread by a native English speaker, (i.e., avoid the phrase native English speaker). Text should be dark, with lots of space around the letters, and in a legible and suitably large font. last year, papers and position papers are in scope for the Upon acceptance, the titles, authorship, and abstracts of accepted papers will be released prior to the conference. placed at risk, avoiding deceptive practices when not essential, Strong work cites relevant prior work, and makes clear how it relates to that work. 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. ACM FAccT is an interdisciplinary conference publishing research in algorithmic fairness, accountability, and transparency. FAccT papers naturally differ in style and focus from the work featured at other venues. Conference-length (8-10 pages) versions of papers that are As a multi-disciplinary peer-reviewed loans or police officers) amongst several groups, in order to maximize some objective (e.g. You will be asked to 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. The research community is young but growing fast. discipline-specific journals. 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. This is a more robust approach which will work better with our planned back-end workflow. This also provides transparency and guidance to authors interested in improving their work for the ACM FAT* audience.
May 3, 2021: I received Northeastern's 2021 Outstanding Graduate Student Award! Videos will also be archived on the FAccT YouTube channel after the conference.
Machine Learning Blog | ML@CMU | Carnegie Mellon University 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. Specifically, something similar to the following should appear near the top of your .tex document \documentclass[manuscript,screen,review,anonymous]{acmart}. As of May 9, about 65% of registrations include in-person attendance.
ACM FAccT - FAccT 2022 - Reviewing Guide option for the FAccT submission. 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. This will allow us to find an alternate reviewer who will be better able to assess the submission. Disentangling Inuence: Using disentangled representations to audit model predic- welcome scholarship in dialogue with fairness, accountability, and 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. : 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? 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. Options and templates are available for both Word and LaTeX users. Authors can use their preferred tools to record videos.
GitHub - lixin4ever/Conference-Acceptance-Rate: Acceptance rates for 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? ensuring that submitting to FAccT would not be in violation of the Please describe and consider the strengths of the submission. Authors will be able to make changes to their titles and abstracts up until the full paper submission deadline, however the preliminary title and abstract should be representative of the submitted work.