Artificial intelligence (AI) ethics in business
Sison, Alejo ; Ferrero, Ignacio ; García Ruiz, Pablo ; Kim, Tae Wan
Resumen: This 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.
Idioma: Inglés
DOI: 10.3389/fpsyg.2023.1258721
Año: 2023
Publicado en: Frontiers in physiology 14 (2023), [2 pp.]
ISSN: 1664-042X
Factor impacto JCR: 3.2 (2023)
Categ. JCR: PHYSIOLOGY rank: 24 / 85 = 0.282 (2023) - Q2 - T1
Factor impacto CITESCORE: 6.5 - Physiology (medical) (Q2) - Physiology (Q2)
Factor impacto SCIMAGO: 1.006 - Physiology (medical) (Q2) - Physiology (Q2)
Tipo y forma: Artículo (Versión definitiva)
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Exportado de SIDERAL (2024-11-22-12:03:16)
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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.
Idioma: Inglés
DOI: 10.3389/fpsyg.2023.1258721
Año: 2023
Publicado en: Frontiers in physiology 14 (2023), [2 pp.]
ISSN: 1664-042X
Factor impacto JCR: 3.2 (2023)
Categ. JCR: PHYSIOLOGY rank: 24 / 85 = 0.282 (2023) - Q2 - T1
Factor impacto CITESCORE: 6.5 - Physiology (medical) (Q2) - Physiology (Q2)
Factor impacto SCIMAGO: 1.006 - Physiology (medical) (Q2) - Physiology (Q2)
Tipo y forma: Artículo (Versión definitiva)
Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace. Exportado de SIDERAL (2024-11-22-12:03:16)
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Registro creado el 2023-09-21, última modificación el 2024-11-25