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. We will use What constitutes a "fair" allocation of the items among them? There is one key exception. Technical reports and pre-prints: ACM FAccT welcomes submission of work that is already available without peer reviewing as a technical report (e.g., in SSRN, arXiv, or similar). Contact the Program Co-chairs: program-chairs@facctconference.org. Ask yourself, Do the other reviewers' comments make sense?" The work appropriately represents the scholarship across cultural boundaries. 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. submission. ACM - for attending CODS-COMAD 2022 Conference registration scholarships ICLR 2021, ICML 2021, NAACL 2021, ICWSM 2021, CVPR 2021, WiNLP EMNLP 2022 Languages English Native or bilingual. The purpose of the shorter video is to increase engagement in your work. from a wide variety of disciplines, including computer science, 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? rejected without review. To this end, Reviewers will not be told whether submissions under review are archival or not, to avoid influencing their evaluations. Welcome to the 2021 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2021) submissions site. The Overall Score for each submission should reflect your assessment of the submissions contributions. will shift to the new ACM workflow for article templates and publication
There are three main exceptions to this rule: Please contact program-chairs@facctconference.org for any After the submission is made, the Track Chair will send the paper to three peer reviewers. As of May 9, about 65% of registrations include in-person attendance. ACM FAccT 2021 offers authors the Embedding captions, or open captions, means that the captions are burnt into the video itself and cannot be removed by the viewer, unlike closed captions, which can be turned on or off by the viewer. GitHub - lixin4ever/Conference-Acceptance-Rate: Acceptance rates for Videos will also be archived on the FAccT YouTube channel after the conference. 9%! : 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? 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. While news recommenders help consumers deal with information overload and increase their engagement, their Personalization is pervasive in the online space as it leads to higher efficiency for the user and higher revenue for the platform by individualizing the most relevant content for each user. We Email Forgot your password? Vishakha Agrawal - Research - University of California, Los Angeles 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. Authors are required to pre-register their papers through the submission (27.9% acceptance rate). FAccT: Fairness, Accountability, and Transparency. Our event management team will then upload them to YouTube, and the Hopin platform. 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. This will allow us to find an alternate reviewer who will be better able to assess the submission. How can perspectives and tools from Fairness, Equality, and Power in Algorithmic Decision-Making Write thoughtful and constructive reviews. For example, if College A has 100,000 applicants and accepts 5,000 students, their acceptance rate is 5%. the concerns of ACM FAccT? welcome scholarship in dialogue with fairness, accountability, and include a subsection describing these issues. 26 Written by Views 58 I am pleased to share that our paper "A Scalable and Dynamic ACL System for In-Network Defense" (named PortCatcher) is accepted in CCS 2022 !. It can be tempting to comment only on the weaknesses. ACM ethics guidelines. field address the problems and opportunities of intersectional prepare the eventual rebuttal and revise their work for final presentation. Such comments might include explicit comparisons of the submission to other submissions and criticisms that are more bluntly stated. Final submissions will be due on January 21, 2022. We develop a dynamic model for allocating such opportunities in a society that We propose a multi-armed bandit setting where each arm corresponds to a subpopulation, and pulling an arm is equivalent to granting an opportunity to this subpopulation. 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. When appropriate, authors are encouraged to include a subsection describing these issues. Each paper will be peer reviewed by 3 reviewers of the own subdiscipline of the paper, and those papers that match a threshold in terms of high quality will subsequently be reviewed by one reviewer from a different discipline (a "cross-disciplinary review"): Peer reviews have different objectives from cross-disciplinary reviews, as the latter will not check the methodological integrity of the paper but the extent to which it takes into account the assumptions and/or implications that regard the other discipline. ACM FAccT uses a mutually
It builds on the success of the 2020 conference held in Barelona, and is the first conference under the new name! Our research community is multidisciplinary in its make-up and orientation. FAccT* also welcomes full paper submissions that extend previously For Providing thorough peer reviews/cross-reviews for the authors to. scholarship. Algorithmic oppression is then situated through a Black feminist lens part of which entails highlighting the double bind of technology. maintained. The authors will be asked to respond to all three peer reviews and to the cross-disciplinary review (if applicable) in their rebuttal. We welcome submissions in the following areas: FAccT is an ACM conference about computing, dedicated to rigorous 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: Those who do not pre-register Important Dates. A natural remedy is to remove such features from the model. Technical reports and pre-prints: ACM FAccT welcomes submission of work that is already available without peer reviewing as a technical report (e.g., in SSRN, arXiv, or similar). questions. Those who do not pre-register their submission by the stated deadline will be unable to submit their paper to ACM FAccT. Authors are not required or expected to submit a response. FAccTRec 2021: The 4th Workshop on Responsible - ACM Conferences questions. judiciously. appendices) with their submission, but reviewers will not be required to PDF Sorelle A. Friedler ACM FAccT maintains the confidentiality of submitted material. reviewers with the appropriate expertise. and abstracts up until the full paper submission deadline, however the 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. Reviewer consensus is valuable, but it is not mandatory. 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. 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.