{"id":13713077,"url":"https://github.com/yongkaiwu/FairAI","last_synced_at":"2025-05-06T23:30:32.426Z","repository":{"id":48297130,"uuid":"168848407","full_name":"yongkaiwu/FairAI","owner":"yongkaiwu","description":" This is a collection of papers and other resources related to fairness.","archived":false,"fork":false,"pushed_at":"2023-06-18T19:44:12.000Z","size":417,"stargazers_count":92,"open_issues_count":0,"forks_count":19,"subscribers_count":9,"default_branch":"master","last_synced_at":"2024-11-13T23:32:58.246Z","etag":null,"topics":["aaai","ai","aistats","algorithm","artificial-intelligence","bias","cikm","discrimination","ethics","fair","fairness","fate","icdm","icml","ijcai","kdd","machine-learning","nips","papers","uai"],"latest_commit_sha":null,"homepage":"https://yongkaiwu.github.io/FairAI/","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/yongkaiwu.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-02-02T15:56:04.000Z","updated_at":"2024-10-30T22:18:28.000Z","dependencies_parsed_at":"2024-11-14T00:15:29.456Z","dependency_job_id":null,"html_url":"https://github.com/yongkaiwu/FairAI","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yongkaiwu%2FFairAI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yongkaiwu%2FFairAI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yongkaiwu%2FFairAI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yongkaiwu%2FFairAI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yongkaiwu","download_url":"https://codeload.github.com/yongkaiwu/FairAI/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252787163,"owners_count":21804209,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["aaai","ai","aistats","algorithm","artificial-intelligence","bias","cikm","discrimination","ethics","fair","fairness","fate","icdm","icml","ijcai","kdd","machine-learning","nips","papers","uai"],"created_at":"2024-08-02T23:01:27.099Z","updated_at":"2025-05-06T23:30:32.102Z","avatar_url":"https://github.com/yongkaiwu.png","language":"HTML","funding_links":[],"categories":["Table of Contents"],"sub_categories":[],"readme":"# Homepage\n\nThis is a comprehensive repository containing the latest papers, tutorials, and other resources on Fairness in Artificial Intelligence.\n\n## [Conference Papers](conference.md)\n\n\u003e Indexed by year and venue:\n\u003e  \n\u003e - [2022](conference.md#2022): [AAAI](conference.md#aaai-2022), [AISTATS](conference.md#aistats-2022), [BIGDATA](conference.md#bigdata-2022), [CIKM](conference.md#cikm-2022), [FAT\\*](conference.md#fat-2022), [ICDM](conference.md#icdm-2022), [ICLR](conference.md#iclr-2022), [ICML](conference.md#icml-2022), [IJCAI](conference.md#ijcai-2022), [KDD](conference.md#kdd-2022), [NIPS](conference.md#nips-2022), [SDM](conference.md#sdm-2022), [UAI](conference.md#uai-2022), [WWW](conference.md#www-2022), [Others](conference.md#others-2022)\n\u003e - [2021](conference.md#2021): [AAAI](conference.md#aaai-2021), [AISTATS](conference.md#aistats-2021), [BIGDATA](conference.md#bigdata-2021), [CIKM](conference.md#cikm-2021), [FAT\\*](conference.md#fat-2021), [ICDM](conference.md#icdm-2021), [ICLR](conference.md#iclr-2021), [ICML](conference.md#icml-2021), [IJCAI](conference.md#ijcai-2021), [KDD](conference.md#kdd-2021), [NIPS](conference.md#nips-2021), [SDM](conference.md#sdm-2021), [UAI](conference.md#uai-2021), [WWW](conference.md#www-2021), [Others](conference.md#others-2021) \n\u003e - [2020](conference.md#2020): [AAAI](conference.md#aaai-2020), [AISTATS](conference.md#aistats-2020), [BIGDATA](conference.md#bigdata-2020), [CIKM](conference.md#cikm-2020), [FAT\\*](conference.md#fat-2020), [ICDM](conference.md#icdm-2020), [ICML](conference.md#icml-2020), [IJCAI](conference.md#ijcai-2020), [KDD](conference.md#kdd-2020), [NIPS](conference.md#nips-2020), [SDM](conference.md#sdm-2020), [UAI](conference.md#uai-2020), [WWW](conference.md#www-2020), [Others](conference.md#others-2020)\n\u003e - [2019](conference.md#2019): [AAAI](conference.md#aaai-2019), [AISTATS](conference.md#aistats-2019), [BIGDATA](conference.md#bigdata-2019), [CIKM](conference.md#cikm-2019), [FAT\\*](conference.md#fat-2019), [ICDM](conference.md#icdm-2019), [ICML](conference.md#icml-2019), [IJCAI](conference.md#ijcai-2019), [KDD](conference.md#kdd-2019), [NIPS](conference.md#nips-2019), [SDM](conference.md#sdm-2019), [UAI](conference.md#uai-2019), [WWW](conference.md#www-2019), [Others](conference.md#others-2019)\n\u003e - [2018](conference.md#2018): [AAAI](conference.md#aaai-2018), [AISTATS](conference.md#aistats-2018), [CIKM](conference.md#cikm-2018),[FAT\\*](conference.md#fat-2018), [ICDM](conference.md#icdm-2018), [ICML](conference.md#icml-2018), [IJCAI](conference.md#ijcai-2018), [KDD](conference.md#kdd-2018), [NIPS](conference.md#nips-2018), [WWW](conference.md#www-2018), [Others](conference.md#others-2018)\n\u003e - [2017](conference.md#2017): [AAAI](conference.md#aaai-2017), [AISTATS](conference.md#aistats-2017), [BigData](conference.md#bigdata-2017), [CIKM](conference.md#cikm-2017), [ICDM](conference.md#icdm-2017), [ICML](conference.md#icml-2017), [IJCAI](conference.md#ijcai-2017), [KDD](conference.md#kdd-2017), [NIPS](conference.md#nips-2017), [UAI](conference.md#uai-2017), [WWW](conference.md#www-2017), [Others](conference.md#others-2017)\n\u003e - [2016](conference.md#2016): [ICDM](conference.md#icdm-2016), [IJCAI](conference.md#ijcai-2016), [NIPS](conference.md#nips-2016), [SDM](conference.md#sdm-2016), [Others](conference.md#others-2016)\n\u003e - [2015](conference.md#2015): [KDD](conference.md#kdd-2015)\n\u003e - [before 2015](conference.md#2014): [All](conference.md#2014)\n\n## [Workshop Papers](workshop.md)\n\n\u003e Indexed by year and venue:\n\u003e  \n\u003e - [2019](workshop.md#2019): [AIES](workshop.md#aies-2019), [FAT/ML](workshop.md#fatml-2019), [FATES](workshop.md#fates-2019)\n\u003e - [2018](workshop.md#2018): [AIES](workshop.md#aies-2018), [FAT/ML](workshop.md#fatml-2018)\n\u003e - [2017](workshop.md#2017): [FAT/ML](workshop.md#fatml-2017)\n\u003e - [2016](workshop.md#2016): [FAT/ML](workshop.md#fatml-2016)\n\u003e - [2015](workshop.md#2015): [FAT/ML](workshop.md#fatml-2015)\n\u003e - [Before 2015](workshop.md#2014): [FAT/ML 2014](workshop.md#fatml-2014)\n\n## [Journal Papers](journal.md)\n\n## Other Resources\n\n- [Tutorials](other.md#courses)\n- [Courses](other.md#tutorials)\n- [Workshops](other.md#workshops)\n- [Dataset](other.md#datasets)\n\n## Supplement\n\n- [Works from our group (SAIL)](sail.md)\n  - [Papers from SAIL](sail.md##papers-from-sail)\n  - [Tutorials by SAIL](sail.md##tutorials-by-sail)\n\n- Data Sources\n  - Conference proceedings are found at [DBLP](https://dblp.uni-trier.de).\n  - The following conferences are considered: \n    \u003e [AAAI](https://dblp.uni-trier.de/db/conf/aaai/), [AISTATS](https://dblp.uni-trier.de/db/conf/aistats/), [~~ASONAM~~](https://dblp.uni-trier.de/db/conf/asunam), [BigData](https://dblp.uni-trier.de/db/conf/bigdataconf/), [CIKM](https://dblp.uni-trier.de/db/conf/cikm/), [~~COLT~~](https://dblp.uni-trier.de/db/conf/colt/), [FAT\\*](https://dblp.uni-trier.de/db/conf/fat/), [ICDM](https://dblp.uni-trier.de/db/conf/icdm/), [ICML](https://dblp.uni-trier.de/db/conf/icml/), [IJCAI](https://dblp.uni-trier.de/db/conf/ijcai/), [~~ITCS~~](https://dblp.uni-trier.de/db/conf/innovations), [KDD](https://dblp.uni-trier.de/db/conf/kdd/), [NIPS](https://dblp.uni-trier.de/db/conf/nips/), [SDM](https://dblp.uni-trier.de/db/conf/sdm/), [UAI](https://dblp.uni-trier.de/db/conf/uai/), [~~WSDM~~](https://dblp.uni-trier.de/db/conf/wsdm/), [WWW](https://dblp.uni-trier.de/db/conf/www/)\n  - The following workshops are considered:  \n     \u003e [AIES](http://www.aies-conference.com), [FAT/ML](https://www.fatml.org), [FATES](http://fates19.isti.cnr.it/)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyongkaiwu%2FFairAI","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyongkaiwu%2FFairAI","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyongkaiwu%2FFairAI/lists"}