{"id":5248,"date":"2023-06-30T10:29:10","date_gmt":"2023-06-30T08:29:10","guid":{"rendered":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/?p=5248"},"modified":"2023-06-30T10:29:10","modified_gmt":"2023-06-30T08:29:10","slug":"ethical-assessments-and-mitigation-strategies-for-biases-in-ai-systems-used-during-the-covid-19-pandemic","status":"publish","type":"post","link":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/2023\/06\/30\/ethical-assessments-and-mitigation-strategies-for-biases-in-ai-systems-used-during-the-covid-19-pandemic\/","title":{"rendered":"\u00abEthical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic\u00bb"},"content":{"rendered":"<p>Nuestras compa\u00f1eras y compa\u00f1eros Janet Delgado, Iris Parra Jounou, Txetxu Aus\u00edn, David Rodr\u00edguez-Arias y Jon Rueda, han publicado junto a Alicia de Manuel, Maite Cruz, Ariel Guersenzvaig, Cristian Moyano y \u00c1ngel Puyol el art\u00edculo \u00abEthical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic\u00bb (https:\/\/doi.org\/10.1177\/20539517231179199) en la revista <em>Big Data &amp; Society<\/em> (2023). Compartimos a continuaci\u00f3n el abstract de la investigaci\u00f3n y un enlace para acceder al art\u00edculo completo.<\/p>\n<p>Abstract<\/p>\n<div id=\"abstracts\" data-extent=\"frontmatter\">\n<div class=\"core-container\">\n<section id=\"abstract\" role=\"doc-abstract\">\n<div role=\"paragraph\">The main aim of this article is to reflect on the impact of biases related to artificial intelligence (AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special focus on those developed for triage and risk prediction. A secondary aim is to review assessment tools that have been developed to prevent biases in AI systems. In addition, we provide a conceptual clarification for some terms related to biases in this particular context. We focus mainly on non-racial biases that may be less considered when addressing biases in AI systems in the existing literature. In the manuscript, we found that the existence of bias in AI systems used for COVID-19 can result in algorithmic justice and that the legal frameworks and strategies developed to prevent the apparition of bias have failed to adequately consider social determinants of health. Finally, we make some recommendations on how to include more diverse professional profiles in order to develop AI systems that increase the epistemic diversity needed to tackle AI biases during the COVID-19 pandemic and beyond.<\/div>\n<\/section>\n<\/div>\n<\/div>\n<div class=\"core-container\"><\/div>\n<div>Acceso al <a href=\"https:\/\/journals.sagepub.com\/doi\/10.1177\/20539517231179199\">art\u00edculo completo<\/a>.<\/div>\n<div><\/div>\n<div><img loading=\"lazy\" class=\" wp-image-5250 aligncenter\" src=\"http:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-content\/uploads\/2023\/06\/Ethical-AI-Systems-1-300x268.jpg\" alt=\"\" width=\"467\" height=\"417\" srcset=\"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-content\/uploads\/2023\/06\/Ethical-AI-Systems-1-300x268.jpg 300w, https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-content\/uploads\/2023\/06\/Ethical-AI-Systems-1-1024x915.jpg 1024w, https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-content\/uploads\/2023\/06\/Ethical-AI-Systems-1-768x686.jpg 768w, https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-content\/uploads\/2023\/06\/Ethical-AI-Systems-1.jpg 1432w\" sizes=\"(max-width: 467px) 100vw, 467px\" \/><\/div>\n<!-- AddThis Advanced Settings generic via filter on the_content --><!-- AddThis Share Buttons generic via filter on the_content -->","protected":false},"excerpt":{"rendered":"<p>Nuestras compa\u00f1eras y compa\u00f1eros Janet Delgado, Iris Parra Jounou, Txetxu Aus\u00edn, David Rodr\u00edguez-Arias y Jon Rueda, han publicado junto a Alicia de Manuel, Maite Cruz, Ariel Guersenzvaig, Cristian Moyano y \u00c1ngel Puyol el art\u00edculo \u00abEthical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic\u00bb (https:\/\/doi.org\/10.1177\/20539517231179199) en la revista Big Data &amp; [&hellip;]<!-- AddThis Advanced Settings generic via filter on get_the_excerpt --><!-- AddThis Share Buttons generic via filter on get_the_excerpt --><\/p>\n","protected":false},"author":1,"featured_media":5249,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[937,2218,21],"tags":[1058,925,3082,945,1387,210,955,1568],"_links":{"self":[{"href":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-json\/wp\/v2\/posts\/5248"}],"collection":[{"href":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-json\/wp\/v2\/comments?post=5248"}],"version-history":[{"count":1,"href":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-json\/wp\/v2\/posts\/5248\/revisions"}],"predecessor-version":[{"id":5251,"href":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-json\/wp\/v2\/posts\/5248\/revisions\/5251"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-json\/wp\/v2\/media\/5249"}],"wp:attachment":[{"href":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-json\/wp\/v2\/media?parent=5248"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-json\/wp\/v2\/categories?post=5248"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wpd.ugr.es\/~filolab\/wordpress\/wp-json\/wp\/v2\/tags?post=5248"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}