2026-09-05T02:53:12Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/146272026-07-15T06:15:49Zcom_20.500.11984_473com_20.500.11984_14090col_20.500.11984_478

Villuendas Rey, Yenny Camacho-Nieto, OSCAR Tusell Rey, Claudia Salinas García, Viridiana Pino Gómez, Joel 2026-07-14T08:18:12Z 2026-07-14T08:18:12Z 2026 2007-9737 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=201711 https://hdl.handle.net/20.500.11984/14627 Explainable Artificial Intelligence (XAI) and Evaluative Artificial Intelligence (EAI) are crucial approaches to ensuring fairness in decision-making. XAI refers to the ability of Artificial Intelligence (AI) systems to be understood and explained by humans, while EAI is a new paradigm that focuses on identifying possible decisions for intelligent algorithms by formulating hypotheses for and against them. eng © Instituto Politecnico Nacional Explainable artificial intelligence evaluative artificial intelligence decision-making equity and justice ODS 8 Trabajo decente y crecimiento económico ODS 10 Reducción de las desigualdades ODS 16 Paz, justicia e instituciones sólidas Explainable and Evaluative Artificial Intelligence: Alternatives to Ensure Equity in Decision-Making