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Titlebook: Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues; Fabrice Jotterand,Marcello Ienca Book 2021 The

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发表于 2025-3-21 19:45:48 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues
影响因子2023Fabrice Jotterand,Marcello Ienca
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发行地址Provides a multidisciplinary and comprehensive analysis of the philosophical, ethical, and policy implications of AI.Examines existing ethical challenges and regulatory gaps that could hamper the deve
学科分类Advances in Neuroethics
图书封面Titlebook: Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues; Fabrice Jotterand,Marcello Ienca Book 2021 The
影响因子.This volume provides an interdisciplinary collection of essays from leaders in various fields addressing the current and future challenges arising from the implementation of AI in brain and mental health. Artificial Intelligence (AI) has the potential to transform health care and improve biomedical research. While the potential of AI in brain and mental health is tremendous, its ethical, regulatory and social impacts have not been assessed in a comprehensive and systemic way..The volume is structured according to three main sections, each of them focusing on different types of AI technologies. Part 1, Big Data and Automated Learning: Scientific and Ethical Considerations, specifically addresses issues arising from the use of AI software, especially machine learning, in the clinical context or for therapeutic applications. Part 2, AI for Digital Mental Health and Assistive Robotics: Philosophical and Regulatory Challenges, examines philosophical, ethical and regulatory issues arising from the use of an array of technologies beyond the clinical context. In the final section of the volume, Part 3 entitled AI in Neuroscience and Neurotechnology: Ethical, Social and Policy Issues, cont
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Machine Learning in Stroke Medicine: Opportunities and Challenges for Risk Prediction and Preventione global burden of stroke depends on a multi-pronged mission, and experts agree an important strategy in this mission is prevention. Prevention success can be bolstered through the strategic development and adoption of risk prediction tools. However, there are several limitations to risk prediction
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Respect for Persons and Artificial Intelligence in the Age of Big Datanor the principle of respect for persons. In this chapter, we explore examples of how AI and big data pose challenges to our traditional ways of honoring respect for persons and provide suggestions for how we might address these challenges. We argue that we cannot merely waive consent in big data re
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Minding the AI: Ethical Challenges and Practice for AI Mental Health Care Toolsions in the therapeutic relationship. Health tools utilizing AI present particular challenges for regulation, both in terms of the technical aspects of evaluating the algorithms and because many of the applications may be used outside of healthcare settings, and thus are outside of the traditional f
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Mental Health Chatbots , Moral Bio-Enhancement, and the Paradox of Weak Moral AImotivation, seems paradoxical. By being safe and avoiding the problem of undermining human agency and the infringement of privacy, a model of weak moral AI as a Socratic assistant, if technically feasible, seems to fall short of delivering a moral act and diminishes what morality means for humans. H
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