000127646 001__ 127646 000127646 005__ 20241125101143.0 000127646 0247_ $$2doi$$a10.3389/fpsyg.2023.1258721 000127646 0248_ $$2sideral$$a134711 000127646 037__ $$aART-2023-134711 000127646 041__ $$aeng 000127646 100__ $$aSison, Alejo 000127646 245__ $$aArtificial intelligence (AI) ethics in business 000127646 260__ $$c2023 000127646 5060_ $$aAccess copy available to the general public$$fUnrestricted 000127646 5203_ $$aThis Research Topic on Artificial Intelligence in Business delves into the multifaceted ethical dimensions of AI governance, exploring a variety of challenges and opportunities. Artificial intelligence (AI) has become increasingly prevalent in businesses, revolutionizing how decisions are made and impacting various sectors such as e-commerce, transportation, and healthcare. Companies like YouTube, Amazon, Google, and Facebook leverage AI to personalize user experiences, while platforms like Uber and Lyft use it to match passengers with drivers and determine pricing. Similarly, Tesla's Advanced driver-assistance systems contribute to safer transport. These applications employ data-trained algorithms (“machine learning”) with minimal human intervention. However, this growing reliance on AI raises significant ethical concerns and demands careful attention from managers and researchers alike. Several high-profile incidents have underscored the ethical challenges associated with AI adoption in business. Amazon's AI-driven recruitment tool demonstrated bias against women. Microsoft's chatbot, Tay, had to be discontinued due to racist and misogynistic remarks. And Tesla's autonomous systems have been involved in fatal accidents, leading to calls for greater public scrutiny. Through this selection of papers, we uncover the ethical implications of AI in business and shed light on responsible governance practices to address them. 000127646 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000127646 590__ $$a3.2$$b2023 000127646 592__ $$a1.006$$b2023 000127646 591__ $$aPHYSIOLOGY$$b24 / 85 = 0.282$$c2023$$dQ2$$eT1 000127646 593__ $$aPhysiology (medical)$$c2023$$dQ2 000127646 593__ $$aPhysiology$$c2023$$dQ2 000127646 594__ $$a6.5$$b2023 000127646 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000127646 700__ $$aFerrero, Ignacio 000127646 700__ $$aGarcía Ruiz, Pablo 000127646 700__ $$aKim, Tae Wan 000127646 773__ $$g14 (2023), [2 pp.]$$pFront. physiol.$$tFrontiers in physiology$$x1664-042X 000127646 8564_ $$s75274$$uhttps://zaguan.unizar.es/record/127646/files/texto_completo.pdf$$yVersión publicada 000127646 8564_ $$s2043517$$uhttps://zaguan.unizar.es/record/127646/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000127646 909CO $$ooai:zaguan.unizar.es:127646$$particulos$$pdriver 000127646 951__ $$a2024-11-22-12:03:16 000127646 980__ $$aARTICLE