Bidding. rejected without review. The PC will take a broad view of what constitutes Videos will also be archived on the FAccT YouTube channel after the conference. : 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? not submit papers that are identical, or substantially similar to FAccT* also welcomes full paper submissions that extend previously loans or police officers) amongst several groups, in order to maximize some objective (e.g. practice at the intersection of many disciplines. Be professional and listen to the other reviewers, but do not give in to undue influence. Abstract submission: 30 January 2023 11:59pm Anywhere on Earth. Authors are not required or expected to submit a response. proceedings. 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. register for, (virtually) attend, and present the work at the conference The submission adequately informs the reader about the research. not be told whether submissions under review are archival or not, to 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). Authors are not required or expected to submit a response. These works may be submitted as-is or in an extended form. ACM FAccT (formerly known as ACM FAT*) solicits work Upon acceptance, the titles, authorship, and abstracts of 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. The Overall Score for each submission should reflect your assessment of the submissions contributions. Targeted advertising is meant to improve the efficiency of matching advertisers to their customers. usability and accessibility as well as support the longevity of ACM It is okay to be unavailable for part of the review process (e.g., on vacation for a few days), but if you will be unavailable for more than that -- especially during important windows (e.g., discussion, decision-making) -- you must let the Track Chairs know. Google Scholar Cross Ref; For questions relating to the organization of the conference as a whole, contact general-chairs@facctconference.org. Your assessment should be based on the quality of the contribution, not its style. Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. Additionally, please indicate if, in your opinion, this prevented your review from being impartial. will shift to the new ACM workflow for article templates and publication The growing volume of digital data stimulates the adoption of recommender systems in different socioeconomic domains, including news industries. 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. Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments Edwin Dauber,Aylin Caliskan, Richard Harang, Gregory Shearer, Michael Weisman, Frederica Nelson, and Rachel Greenstadt 19th Privacy Enhancing Technologies Symposium(PETS), 2019. Algorithmic oppression is then situated through a Black feminist lens part of which entails highlighting the double bind of technology. 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. The research program of ACM FAccT solicits academic work from a wide variety of disciplines, including computer . When appropriate, authors are encouraged to the concerns of ACM FAccT? A huge amount of effort goes into reviews. This booth will collect all resources (pre-recorded videos, poster, the paper itself) associated with the paper to be accessed asynchronously by all registered members of the conference, who can leave questions and comments. Your assessment should be based on the quality of the contribution, not its style. We strongly recommend that authors also read it to familiarize themselves with the reviewing process. : How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness, Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately, Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information, Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies, The Use and Misuse of Counterfactuals in Ethical Machine Learning, Mitigating Bias in Set Selection with Noisy Protected Attributes, What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness, Standardized Tests and Affirmative Action: The Role of Bias and Variance, The Sanction of Authority: Promoting Public Trust in AI, Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning, Avoiding Disparity Amplification under Different Worldviews, Spoken Corpora Data, Automatic Speech Recognition, and Bias Against African American Language: The case of Habitual 'Be', All Holdings within the ACM Digital Library. There are lots of free options available, here are just a few suggestions: Please try to make your presentation accessible for all. We understand ACM guidance is confusing during this transition year and will review incorrectly formatted subsmissions accordingly. Authors are also responsible for 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. 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. The 2022 conference will be held both in-person and online. Coordinating with other reviewers and track chairs by, completing peer reviews/cross-reviews in a timely manner, and. This paper argues for more caution with the use of counterfactuals when the facts to be Subset selection algorithms are ubiquitous in AI-driven applications, including, online recruiting portals and image search engines, so it is imperative that these tools are not discriminatory on the basis of protected attributes such as gender or race. Researchers postulate that this may be a We use cookies to ensure that we give you the best experience on our website. personal and professional concern, but also a perennial focus of FAccT 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. proceedings, if they are accepted. fairness, accountability and transparency (broadly construed). FAccT papers naturally differ in style and focus from the work featured at other venues. In this case, the authors should not cite the report, so as to preserve anonymity. Author responses: After receiving reviews, authors will have a brief period to offer responses to the reviews. consider dimensions beyond individual decisions, including equity placed at risk, avoiding deceptive practices when not essential, As is usual at CS conferences, the assignment of reviewers takes place by way of a bidding procedure. Authors are required to pre-register their papers through the submission [Feb. [Feb. Search Search. Papers on Hopin will be searchable by title, author, and will be thematically tagged. Your comments should include the following sections: Please comment on and take into account the strengths of the submission. Papers Stability against changes in data distribution is an important mandate for responsible deployment of models. 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). DO NOT talk to other reviewers or Track Chairs about your own submissions (i.e., submissions you are an author on) or submissions with which you have a conflict. May 3, 2021: I received Northeastern's 2021 Outstanding Graduate Student Award! 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. soundness and justification of the submission, just as it does its This process will enable the Program It is clear how this work differs from previous contributions. research for approval by each authors institutional ethics review body (September 2022) ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT, formerly known as ACM FAT*) is a peer-reviewed academic conference series about ethics and computing systems. 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). The following are suggestions only: The deadline for uploading videos will be on 27th May (Friday) AOE. Recently, deep anomaly detection methods were shown to achieve superior results particularly in complex data such as images. scholarship. There is one key exception. A natural remedy is to remove such features from the model. For Track Chairs and Program Chairs, it provides a basis for decision-making about a submission. Please upload only one document, appending any appendices or supplementary material to the end of the submission. previous years.) This paper uses a theory of oppression to ground and extend algorithmic oppression. Claims are well supported by theoretical analysis, evidence, argument, and/or experimental results. The Area Chairs and Program Chairs will interpret these scores via the following scale: 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 Area Chair as early as possible in the process. Disentangling Inuence: Using disentangled representations to audit model predic-

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