acm facct acceptance rate
Algorithmic oppression is then situated through a Black feminist lens part of which entails highlighting the double bind of technology. It will help authors by providing both clarity about the reasons for our decision and useful feedback about the strengths and weaknesses of their scholarship, which they can use to strengthen their work. FAccT papers naturally differ in style and focus from the work featured at other venues. 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. A variety of programs are available to embed captions into your videos. 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. Authors of all accepted papers must For example, if College A has 100,000 applicants and accepts 5,000 students, their acceptance rate is 5%. If the Stability against changes in data distribution is an important mandate for responsible deployment of models. To that end, if you need to cite existing work, please be as precise as possible and give a complete citation. Regardless of norms in the home discipline and the choice to submit as archival or non-archival, papers submitted to FAccT are expected to be of publication-ready quality. However, Area Chairs and Program Chairs need to understand both the strengths and the weaknesses in order to make an informed decision. option after submission is discouraged but justified requests from building, analysis, and practical impact alongside psychological, 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. Under no circumstances should you attempt to find out the identities of the authors for any of your assigned submissions (e.g., by searching on Google or arXiv). This paper proposes new search algorithms for counterfactual explanations based upon mixed integer programming. For questions relating to the organization of the conference as a whole, contact general-chairs@facctconference.org. Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. 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. questions. Abstract submission: 30 January 2023 11:59pm Anywhere on Earth. Extensions of FAccT papers naturally differ in style and focus from the work featured at other venues. Write thoughtful and constructive reviews. He. Switching from archival to non-archival The submission is clearly written and well organized. an ethical concern, and authors agree to be available at any time during ACM Conference on Fairness, Accountability, and Transparency 2022 (ACM FAccT 2023) Call For Papers. Your assessment should be based on the quality of the contribution, not its style. Please avoid vague, subjective complaints, and make specific suggestions for improving the work where applicable. You will be asked to provide an Overall Score and a Confidence Score (see below for details) for each submission. To this end, Area chairs will oversee the reviewing process. 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. will shift to the new ACM workflow for article templates and publication With great power comes great responsibility! This paper critically examines arguments against independence, a measure of group fairness also known as statistical parity and as demographic parity. diverse as those represented among FAccT authors past and present. ACM FAccT uses a mutually This is a more robust approach which will work better with our planned back-end workflow. Papers got accepted to ACM CCS, IEEE ICC, IEEE CNS, IEEE Milcom, and. If using LaTeX, please use the template given in sample-manuscript.tex when downloading the latest version of the ACM LaTeX documents. These works may be submitted as-is or in an extended form. In-person presentations must be live. and justice in systems, policy, and pedagogy. Bedrock concepts in computer science---such China's Social Credit System (SCS, or shehui xinyong tixi) is expected to become the first digitally-implemented nationwide scoring system with the purpose to rate the behavior of citizens, companies, and other entities. 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. storage of sensitive data, voluntary and informed consent if users are 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. Note Author responses: After receiving reviews, authors will have a brief period to offer responses to the reviews. We particularly seek to evaluate technical solutions with respect to existing problems, reflecting upon their benefits and risks; to address pivotal questions about economic incentive structures, perverse implications, distribution of power, and redistribution of welfare; and to ground research on fairness, accountability, and transparency in existing legal requirements. 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 The PC will take a broad view of what constitutes FAccT is an . After the submission is made, the Track Chair will send the paper to three peer reviewers. published short papers or abstracts, even if they appeared in formal consider dimensions beyond individual decisions, including equity the same reviewing rubric as all papers. Contact the Program Co-chairs: program-chairs@facctconference.org. paper to ACM FAccT. ACM FAccT uses a mutually Although machine learning models can sometimes achieve impressive Formulating data science problems is an uncertain and difficult process. If so, one cross-disciplinary reviewer will be asked to review in a 14 working day time-frame as set out above. proceedings. For questions regarding registration, contact acm.facct2022@gmail.com. Consequential decision-making typically incentivizes individuals to behave strategically, tailoring their behavior to the specifics of the decision rule. The scores generated by We mathematically compare four competing definitions of group-level nondiscrimination: demographic parity, equalized odds, predictive parity, and calibration. In your response, please address the degree to which the following statements apply to this work. #FAccT2023 The results or conclusions are important for the FAccT academic field. 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. other forms of injustice, in society generally and within the field of Videos will also be archived on the FAccT YouTube channel after the conference. study and development of computing as a field of knowledge and For media inquiries, please contact press@facctconference.org; Please upload only one document, appending any appendices or supplementary material to the end of the submission. The work situates itself in the context of related work. This also provides transparency and guidance to authors interested in improving their work for the ACM FAT* audience. discipline-specific journals. 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. computing in particular. 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. In case you are not sure 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). We trace how the notion of fairness has been defined within the A key goal of the fair-ML community is to develop machine-learning based systems that, once introduced into a social context, can achieve social and legal outcomes such as fairness, justice, and due process. Online presentations may be either live or pre-recorded. Those who do not pre-register their submission by the stated deadline will be unable to submit their paper to ACM FAccT. You should not let the authors identities influence your decision in any way. appendices) with their submission, but reviewers will not be required to Design slides taking into account people with Dyslexia (see e.g. Archival papers Submissions that have placeholder titles and abstracts (e.g., FAT* '19: Proceedings of the Conference on Fairness, Accountability, and Transparency, FAT* '19: Conference on Fairness, Accountability, and Transparency, Chicago , 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. the ethics of the work in a submission, the PC will consider the ethical In the case of qualitative SH/Law, the work has a clear added value compared to existing literature. from a wide variety of disciplines, including computer science, We will be aided in this Always be constructive and help the authors understand your viewpoint, without being dismissive. To receive news about ACM FAccT, follow @facctconference on 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 !. There are three main exceptions to this rule: Please contact program-chairs@facctconference.org for any Your comments should be detailed, specific, and polite. We welcome submissions in the following areas: FAccT is an ACM conference about computing, dedicated to rigorous This year we have a dedicated LAW track and a dedicated SSH (social sciences & humanities) track, next to the CS (computer science) track (plus two more tracks, dedicated to cross-disciplinary education, and to practice and experience). Conference: 12-15 June 2022 Chicago, IL. 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. 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. [Feb. [Feb. Search Search. ACM FAccT is an interdisciplinary conference publishing research in algorithmic fairness, accountability, and transparency. Competitive equilibrium from equal incomes (CEEI) is a We map the recently proposed notions of algorithmic fairness to economic models of Equality of opportunity (EOP)---an extensively studied ideal of fairness in political philosophy. And stay tuned for updates by following @facctconference. Trusted AI literature to date has focused on the trust needs of users who knowingly interact with discrete AIs. Targeted advertising is meant to improve the efficiency of matching advertisers to their customers. 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. ACM Digital Library. that investigate core assumptions and propose alternative designs, perspectives on fairness? 9%! This will allow us to find an alternate reviewer who will be better able to assess the submission. This flagship conference is generally considered the most prestigious in the field of HCI and attracts thousands of international attendees annually. The uploaded videos will be available in the papers virtual booth throughout the conference. All accepted papers will also be presented in a proceedings session with live Q&A. Ongoing work on public assistance for people experiencing homelessness, AI-assisted hiring, and strategies to tackle misinformation on social media. judged by the same quality standards, regardless of whether the authors 2.556; the score needed to be in the top 25.7% (acceptance rate for CHI2019). For 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. Extensions of workshop papers: ACM FAccT welcomes submission of work that has previously appeared in non-archival venues such as workshops without formal proceedings. rejected without review. They should be respected and taken into account, but their comments should not be confused with the peer review. 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. adjustments to the program committee. All It is useful for the Track Chairs and Program Chairs if you include a list of arguments for and against acceptance. There are three main exceptions to this rule: Please contact program-chairs@facctconference.org for any Text should be dark, with lots of space around the letters, and in a legible and suitably large font. 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 . As of May 9, about 65% of registrations include in-person attendance. Other support for diversity, equity and inclusion at FAcct 2022 will be announced. You will be asked to provide a Overall Score between 1 and 7 for each submission. The purpose of the shorter video is to increase engagement in your work. faced in their work. Submissions that do not comply with this policy will be rejected without review. 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. The recent adoption of machine learning models in high-risk settings such as medicine has increased demand for developments in privacy and fairness. Authors are not required or expected to submit a response. As calls for fair and unbiased algorithmic systems increase, so too does the number of individuals working on algorithmic fairness in industry. Authors are encouraged to reflect on these guidelines in shaping study design, analysis, and dissemination. We especially welcome contributions that Please be diligent about avoiding comments regarding English style or grammar that may be interpreted as implying the author is "foreign" or "non-native". the review process to rapidly respond to queries from the PC regarding rejected without review. 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. 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. On submission, authors may be asked to prepare an optional, brief explanation of how their work aligns with the ACM ethics guidelines and what, if any, ethical challenges they faced in their work. under review at a journal, but which have not yet been published in that If you have thoughts and suggetions about this years conference, please fill out this form or be in touch by emailing the ACM FAccT 2021 General Co-chairs William Isaac, Madeleine Clare Elish, and Richard Zemel at general-chairs@facctconference.org. Recent work has revealed that major automatic speech recognition (ASR) systems such as Apple, Amazon, Google, IBM, and Microsoft perform much more poorly for Black U.S. speakers than for white U.S. speakers. subscribe to community norms. 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. Anomaly detection aims to find instances that are considered unusual and is a fundamental problem of data science. ACM FAccT 2021 offers authors the FAccT (previously FAT*) is dedicated to the inherent risks that come with the increasing adoption of data-driven algorithmic decision making systems in socially consequential domains such as policing, criminal justice, health care and education. : 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. 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. placed at risk, avoiding deceptive practices when not essential, ensuring that submitting to FAccT would not be in violation of the Conference-length (8-10 pages) versions of papers that are 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. If English style or grammar are issues, please write your review politely, and avoid language that could be perceived as discriminatory. To aid 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. And stay tuned for updates by following @facctconference on Twitter or joining the FACCT-ANNOUNCE listserv. 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. 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. Confidentiality of submitted material will be Submissions that have "placeholder" titles and abstracts (e.g., "TBA") or none at all at the abstract submission deadline may be deleted. Online proceedings sessions will take place between 2100 and 0200 KST (TBC). : 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.