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  1. The impact of intelligent decision-support systems on humans’ ethical decision-making: A systematic literature review and an integrated framework.Franziska Poszler & Benjamin Lange - forthcoming - Technological Forecasting and Social Change.
    With the rise and public accessibility of AI-enabled decision-support systems, individuals outsource increasingly more of their decisions, even those that carry ethical dimensions. Considering this trend, scholars have highlighted that uncritical deference to these systems would be problematic and consequently called for investigations of the impact of pertinent technology on humans’ ethical decision-making. To this end, this article conducts a systematic review of existing scholarship and derives an integrated framework that demonstrates how intelligent decision-support systems (IDSSs) shape humans’ ethical decision-making. (...)
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  • Künstliche Intelligenz in der Ethik?Sabine Salloch - 2023 - Ethik in der Medizin 35 (3):337-340.
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  • Public perceptions of artificial intelligence in healthcare: ethical concerns and opportunities for patient-centered care.Kaila Witkowski, Ratna Okhai & Stephen R. Neely - 2024 - BMC Medical Ethics 25 (1):1-11.
    Background In an effort to improve the quality of medical care, the philosophy of patient-centered care has become integrated into almost every aspect of the medical community. Despite its widespread acceptance, among patients and practitioners, there are concerns that rapid advancements in artificial intelligence may threaten elements of patient-centered care, such as personal relationships with care providers and patient-driven choices. This study explores the extent to which patients are confident in and comfortable with the use of these technologies when it (...)
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  • Artificial Intelligence to support ethical decision-making for incapacitated patients: a survey among German anesthesiologists and internists.Lasse Benzinger, Jelena Epping, Frank Ursin & Sabine Salloch - 2024 - BMC Medical Ethics 25 (1):1-10.
    Background Artificial intelligence (AI) has revolutionized various healthcare domains, where AI algorithms sometimes even outperform human specialists. However, the field of clinical ethics has remained largely untouched by AI advances. This study explores the attitudes of anesthesiologists and internists towards the use of AI-driven preference prediction tools to support ethical decision-making for incapacitated patients. Methods A questionnaire was developed and pretested among medical students. The questionnaire was distributed to 200 German anesthesiologists and 200 German internists, thereby focusing on physicians who (...)
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