Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic de Manuel, Alicia Delgado Rodríguez, Janet Cruz, Maite Rodríguez Arias Vailhen, David AI systems Bias Triage and risk prediction Social determinants of health COVID-19 This research has been funded thanks to the “Ayudas Fundación BBVA a Equipos de Investigación Científica SARS-CoV-2 y COVID-19” in Humanities. 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. 2023-07-25T10:10:46Z 2023-07-25T10:10:46Z 2023-06-12 info:eu-repo/semantics/article Manuel, A., Delgado, J., Parra Jounou, I., Ausín, T., Casacuberta, D., Cruz, M., Guersenzvaig, A., Moyano, C., Rodríguez-Arias, D., Rueda, J., & Puyol, A. (2023). Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic. Big Data & Society, 10(1). [https://doi.org/10.1177/20539517231179199] https://hdl.handle.net/10481/83973 10.1177/20539517231179199 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional SAGE