標(biāo)題: Titlebook: Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues; Fabrice Jotterand,Marcello Ienca Book 2021 The [打印本頁] 作者: 怕跛行他有限 時間: 2025-3-21 19:45
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作者: conference 時間: 2025-3-21 21:19 作者: 感染 時間: 2025-3-22 02:31 作者: 臨時抱佛腳 時間: 2025-3-22 05:58 作者: occurrence 時間: 2025-3-22 08:55
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 作者: Congeal 時間: 2025-3-22 14:41
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作者: antidote 時間: 2025-3-22 20:39 作者: CHOIR 時間: 2025-3-22 22:46
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作者: 吸引力 時間: 2025-3-23 02:15 作者: 小木槌 時間: 2025-3-23 07:03
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作者: Abjure 時間: 2025-3-23 13:20 作者: Cytology 時間: 2025-3-23 17:15 作者: colloquial 時間: 2025-3-23 22:01
The Importance of Expiry Dates: Evaluating the Societal Impact of AI -Based Neuroimagingnt, but we aim to analyze issues that can emerge in parallel with technological developments. We will suggest that the rapid progress in AI, as applied to brain reading, requires a careful consideration of various forms of expiry dates, especially for informed consent, data storage, and data analysi作者: 針葉 時間: 2025-3-24 02:12 作者: Grasping 時間: 2025-3-24 04:09
Matter Over Mind : Liability Considerations Surrounding Artificial Intelligence in Neurosciencecience, where diagnosis and treatment have been particularly elusive. While this may offer great benefit, there is also the potential for great risk, including the risk of severe injury and new concerns over data protection. This chapter explores the role liability will play in managing these new te作者: Kernel 時間: 2025-3-24 09:54 作者: Eulogy 時間: 2025-3-24 12:14 作者: circuit 時間: 2025-3-24 18:14
2522-5677 al challenges and regulatory gaps that could hamper the deve.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 t作者: Fibrinogen 時間: 2025-3-24 21:55
Respect for Persons and Artificial Intelligence in the Age of Big Datasearch, but rather must be creative in how we adhere to respect for persons when consent is not possible. Rather, taking cues from other advances in research including community engaged research approaches and federal requirements for conducting emergency research with waived consent, we provide alternative means to fulfill respect for persons.作者: In-Situ 時間: 2025-3-25 00:04 作者: 極大的痛苦 時間: 2025-3-25 04:56
,An der schw?bischen Eisenbahn,n their best interest and undermine their autonomy to further the interest of designers, companies or their shareholders. We highlight that social robots may harbor these dark patterns and they can be potent social actors that can push our . to undermine our time, monetary situation and privacy, effectively harming our health and well-being.作者: 藐視 時間: 2025-3-25 10:55 作者: 集聚成團 時間: 2025-3-25 12:11 作者: 臥虎藏龍 時間: 2025-3-25 18:00 作者: concert 時間: 2025-3-25 22:21 作者: extinct 時間: 2025-3-26 02:58
Mental Health Chatbots , Moral Bio-Enhancement, and the Paradox of Weak Moral AIlth. This reminds us that technological innovation and empirical findings might enlighten us about a new paradigm that cannot be wholly foreseen or captured by a philosophical argument that is stripped of context.作者: 平靜生活 時間: 2025-3-26 08:21
Book 2021om 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 作者: Dealing 時間: 2025-3-26 10:52 作者: 畢業(yè)典禮 時間: 2025-3-26 14:29 作者: opportune 時間: 2025-3-26 18:53
Introduction,l patient through precision medicine approaches. For example, Watson, an AI-driven question-answering computing system developed by IBM, has proven to make similar treatment recommendations as human experts in 99% of the cases, and in 30% of the cases, Watson found treatment options missed by human 作者: 合唱隊 時間: 2025-3-26 21:06
Big Data in Medical AI: How Larger Data Sets Lead to Robust, Automated Learning for Medicineectly from the raw data. Such systems are state-of-the-art in complex learning problems with rich, high-dimensional data sets—such as speech or image recognition. All of these advanced approaches are predicated on access to massive data sets, which presents unique challenges for developing AI system作者: commensurate 時間: 2025-3-27 03:20 作者: 同步信息 時間: 2025-3-27 07:33
Machine Learning in Stroke Medicine: Opportunities and Challenges for Risk Prediction and Prevention identifies important technological and methodological challenges for using ML in these contexts. The chapter concludes by drawing the readers’ attention to some of the questions and ethical challenges that arise as clinicians widely adopt ML-based applications in practice.作者: jeopardize 時間: 2025-3-27 13:20
Minding the AI: Ethical Challenges and Practice for AI Mental Health Care Toolsaddressing existing inequities in mental health care. Protection of patients and other users of mental health AI tools from potential misuse of their health information and potential negative repercussions from sharing their data is another critical area of concern. Finally, AI tools present challen作者: Seizure 時間: 2025-3-27 16:26 作者: Debate 時間: 2025-3-27 18:14 作者: Magnificent 時間: 2025-3-27 22:59 作者: colony 時間: 2025-3-28 04:38 作者: Euthyroid 時間: 2025-3-28 07:28
Fallsammlung zum Privatversicherungsrecht introduced during development), and the black-box problem (lack of transparency regarding the agent’s behavioral choices) are also discussed, along with recommendations to begin to address these issues.作者: Bone-Scan 時間: 2025-3-28 11:53 作者: 機構(gòu) 時間: 2025-3-28 17:59 作者: 空洞 時間: 2025-3-28 19:23
Die Odyssee eines Grundpfandrechtsbriefs,y life, with increasing potential to harness AI for social benefit comes the potential for risks of harm to individuals and society that must be addressed. Increasingly, data collected from consumers are being leveraged to make health claims (e.g., Facebook’s suicide flag algorithm) which raises eth作者: 責(zé)難 時間: 2025-3-29 01:00
,Der gute Glaube an die Verfügungsbefugnis,ive an authentic life. While some of these concerns have been raised in the context of open-loop DBS, we argue that closed-loop devices introduce new worries that need to be examined. Failure to develop ethical guidance for this unique setting may lead to user harm and a lack of acceptance of new de作者: Liberate 時間: 2025-3-29 05:15
A Common Ground for Human Rights , AI , and Brain and Mental Health作者: labile 時間: 2025-3-29 08:37
Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues作者: 即席演說 時間: 2025-3-29 12:00
2522-5677 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, cont978-3-030-74190-7978-3-030-74188-4Series ISSN 2522-5677 Series E-ISSN 2522-5685 作者: 范圍廣 時間: 2025-3-29 18:45
Book 2021osophical 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作者: Abjure 時間: 2025-3-29 22:21 作者: Brittle 時間: 2025-3-30 02:02
978-3-030-74190-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 欲望小妹 時間: 2025-3-30 04:07 作者: fluffy 時間: 2025-3-30 09:30
,Fall 6: Der zurückgeschossene Fu?ball, and scope. To understand the impetus for hospitals to collect such massive data sets, we will review the new capabilities that such data sets enable. In general, with more samples, analytical approaches can use more complex learning models. This is done through automating combinations of features, 作者: adulterant 時間: 2025-3-30 12:31
Fall 1: Fremdes Auto vor der Einfahrt,age processing, machine learning, and artificial intelligence—made a breakthrough in the automatic analysis of personality dimensions and disorders. This chapter introduces the field of ., presents a critical reflection on it, and discusses open challenges and ethical considerations.作者: entail 時間: 2025-3-30 17:45
Fallsammlung zum Privatversicherungsrecht behavioral and mental healthcare. We focus on their use in training, coaching, behavioral modeling, and limited treatment functions (e.g., for highly scripted, fixed protocol-based treatments). We also discuss their potential use in therapeutic gaming environments and virtual or augmented reality a作者: OREX 時間: 2025-3-31 00:42 作者: 正論 時間: 2025-3-31 01:59
Fallsammlung zum Privatversicherungsrechtnor 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作者: 個阿姨勾引你 時間: 2025-3-31 06:20
,An der schw?bischen Eisenbahn,d companionship, health and well-being. We argue that the design of social robots is not neutral as they are exemplars of persuasive technologies. By virtue of its physical embodiment and its anthropomorphic design which take into account an intimate understanding of human and social psychology, com作者: 懶惰人民 時間: 2025-3-31 11:39
,An der schw?bischen Eisenbahn,ions 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
