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acm conference on fairness accountability and transparency wikipedia jump to content main menu main menu move to sidebar hide navigation main page contents current events random article about wikipedia contact us contribute help learn to edit community portal recent changes upload file special pages search search appearance donate create account log in personal tools donate create account log in contents move to sidebar hide top 1 fate overview 2 key research areas and emerging trends in fate 3 impact and influence 4 criticisms and controversies 5 list of conferences 6 see also 7 references 8 external links toggle the table of contents acm conference on fairness accountability and transparency add languages add links article talk english read edit view history tools tools move to sidebar hide actions read edit view history general what links here related changes upload file permanent link page information cite this page get shortened url switch to legacy parser print export download as pdf printable version in other projects wikidata item appearance move to sidebar hide from wikipedia the free encyclopedia academic conference series this article may incorporate text from a large language model which is prohibited in wikipedia articles it may include hallucinated information copyright violations claims not verified in cited sources original research or fictitious references any such material should be removed october 2025 learn how and when to remove this message acm conference on fairness accountability and transparency abbreviation facct discipline computer science publication details publisher association for computing machinery history 2018 current 8 years frequency annual open access yes website https facctconference org 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 1 sponsored by the association for computing machinery this conference focuses on issues such as algorithmic transparency fairness in machine learning bias and ethics from a multi disciplinary perspective 2 the conference community includes computer scientists statisticians social scientists scholars of law and others 3 the conference is sponsored by big tech companies such as facebook twitter and google and large foundations such as the rockefeller foundation ford foundation macarthur foundation and luminate 4 sponsors contribute to a general fund no earmarked contributions are allowed and have no say in the selection substance or structure of the conference 5 fate overview edit the acronym fate refers to fairness accountability transparency and ethics in sociotechnical systems fate is a topic of rising interest as the societal and ethical implications of complex systems such as artificial intelligence ai machine learning ml and natural language processing nlp are increasing the topic provides an interdisciplinary challenge of bridging the gap of transparency between technical and non technical academics and policy makers to ensure the safety and equity of algorithmic systems as they advance at a rapid rate 6 some solutions and techniques that have been discovered include explainable artificial intelligence xai recent adoptions of ai in both the public and private sector include the predictive recidivism algorithm otherwise known as compas which was deployed in the us court as well as amazon s ai powered recruitment tool later proven to favor male over female applicants further ai based decision support ads powered by machine learning techniques is more commonly being integrated across fields including criminal justice education and benefits provision 7 fate functions as a means to look further into algorithms to raise awareness and work towards a solution companies such as microsoft have created research teams specifically devoted to the topic 8 key research areas and emerging trends in fate edit the facct conference 2024 is looking for articles specifically within the following areas audits and evaluation practices system development and deployment experiences and interactions critical studies law and policy and philosophy citation needed impact and influence edit the research from the acm facct conference has greatly influenced both public rules and how companies operate governments and organizations have used ideas from the conference to create guidelines and policies for example studies on bias in algorithms have helped change hiring methods at big tech companies making them fairer additionally laws about how artificial intelligence ai should be managed have been shaped by this research the conference has also helped guide global discussions about ethical ai contributing to important guidelines like the european union s ai act and the ai principles from the oecd citation needed criticisms and controversies edit although the acm facct conference is well regarded it has received some criticism some people say that the ideas shared at the conference are often too focused on theory and may not work well for real world issues others have noticed that even though the conference talks about fairness and transparency in ai the companies that sponsor it don t always create technology that follows these values there is also debate about whether the conference can stay truly independent while receiving money from big tech companies citation needed list of conferences edit past and future facct conferences include year location date keynote invited speakers link 2026 montreal canada june 25 28 krishna gummadi charlton mcilwain lucy suchman jutta treviranus michael karlin cynthia khoo paris marx joelle pineau christelle tessono website 2025 athens greece june 23 26 nathalie smuha suresh venkatasubramanian kristian lum molly j crockett website 2024 rio de janeiro brazil june 3 6 virgilio almeida seeta peña gangadharan joaquim melo nina da hora alexsandro mesquita stephanie nguyen polinho mota sanmi koyejo website 2023 chicago illinois and online june 12 15 payal arora charlotte burrows alex hanna moritz hardt alondra nelson ziad obermeyer website 2022 seoul south korea and online june 21 24 cha meeyoung pascale fung mariano florentino cuéllar andré brock website 2021 online march 3 10 yeshimabeit milner katrina ligett julia angwin website 2020 barcelona spain january 27 30 ayanna howard yochai benkler nani jansen reventlow website 2019 atlanta georgia january 29 31 jon kleinberg deirdre mulligan website 2018 new york new york february 23 24 latanya sweeney deborah hellman website see also edit algorithmic bias artificial intelligence art artificial intelligence marketing ethics of artificial intelligence references edit association for computing machinery conferences retrieved 2019 03 27 laufer benjamin jain sameer cooper a feder kleinberg jon heidari hoda 2022 06 20 four years of facct a reflexive mixed methods analysis of research contributions shortcomings and future prospects proceedings of the 2022 conference on fairness accountability and transparency facct 22 seoul korea association for computing machinery pp 401 426 doi 10 1145 3531146 3533107 isbn 978 1 4503 9352 2 s2cid 249642305 2019 acm fat conference www acm org retrieved 2019 02 01 acm facct 2020 sponsors retrieved 2019 02 19 acm facct sponsorship policy retrieved 2019 02 19 memarian bahar doleck tenzin 2023 01 01 fairness accountability transparency and ethics fate in artificial intelligence ai and higher education a systematic review computers and education artificial intelligence 5 100152 doi 10 1016 j caeai 2023 100152 issn 2666 920x levy karen chasalow kyla e riley sarah 2021 10 13 algorithms and decision making in the public sector annual review of law and social science 17 1 309 334 arxiv 2106 03673 doi 10 1146 annurev lawsocsci 041221 023808 issn 1550 3585 fate fairness accountability transparency ethics in ai microsoft research retrieved 2023 11 19 external links edit official website green ben 2021 fairness through robustness investigating robustness disparity in deep learning proceedings of the 2021 acm conference on fairness accountability and transparency pp 103 115 doi 10 1145 3442188 3445910 isbn 978 1 4503 8309 7 binns reuben 2021 fairness equality and power in algorithmic decision making proceedings of the 2021 acm conference on fairness accountability and transparency pp 149 159 doi 10 1145 3442188 3445919 isbn 978 1 4503 8309 7 v t e association for computing machinery special interest groups sigaccess sigact sigada sigai sigapp sigarch sigbed sigbio sigcas sigchi sigcomm sigcse sigda sigdoc sigecom sigevo siggraph sighpc sigir sigite sigkdd siglog sigmetrics sigmicro sigmis sigmm sigmobile sigmod sigops sigplan sigsac sigsam sigsim sigsoft sigspatial siguccs sigweb awards acm turing award acm fellowship acm aaai allen newell award athena lecturer award eckert mauchly award eugene l lawler award acm doctoral dissertation award gordon bell prize grace murray hopper award ken kennedy award paris kanellakis theory and practice award acm prize in computing acm software system award siam acm prize in computational science and engineering sigs chi academy gödel prize knuth prize steven a coons award alonzo church award publications journal of the acm communications of the acm risks digest acm digital library acm computing surveys computers in entertainment acm interactions acm queue acm xrds conferences acm mm aies asplos chi dac facct fcrc foga gecco ghc hopl hot chips hypertext icfp isca ismm ispd issac jcdl micro mobicom pldi podc pods popl recsys sc sigcomm sigcse siggraph socg soda sosp spaa splash stoc tapia umap uist vric educational programs acm w acm international collegiate programming contest acm student research competition upsilon pi epsilon this article about a computer conference is a stub you can help wikipedia by adding missing information v t e retrieved from https en wikipedia org w index php title 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