語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Artificial Intelligence in Brain and...
~
SpringerLink (Online service)
Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues/ edited by Fabrice Jotterand, Marcello Ienca.
其他作者:
Ienca, Marcello.
面頁冊數:
XVI, 267 p. 8 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Artificial Intelligence. -
電子資源:
https://doi.org/10.1007/978-3-030-74188-4
ISBN:
9783030741884
Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues
Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues
[electronic resource] /edited by Fabrice Jotterand, Marcello Ienca. - 1st ed. 2021. - XVI, 267 p. 8 illus. in color.online resource. - Advances in Neuroethics,2522-5685. - Advances in Neuroethics,.
Introduction -- Part I Scientific Considerations and Challenges: AI-augmented neuroimaging -- AI analytics in brain cancer screening -- AI analytics to detect pre-symptomatic dementia -- AI analytics in schizophrenia -- Wearables, mHealth and mental health monitoring -- Prevention of mental disorders through social media -- The brain health modeling initiative and the promise of AI -- Assistive robotics for dementia and mild cognitive impairment -- Telehealth and robotherapy in psychiatry -- Robot-assisted neurorehabilitation -- Brain-computer interfaces and AI-mediated neuromodulation -- Part III . Ethical Legal and Social Implications: Mental Privacy -- Algorithmic transparency – Measurement bias and ethical bias -- Discrimination and stigma -- Informed Consent -- Minimal risk -- Fairness and Research Allocation -- The black-box problem of medical AI -- The transformation of therapeutic relationships -- The role of IRBs -- The ethics of automated medical decision-making -- Accountability and Responsibility -- Designing moral technologies for brain and mental health -- AI and Human Beings: Philosophical and Ethical Perspectives -- Part III Policy Perspectives: Current regulatory frameworks in North America -- Gaps in existing regulations -- Policy and law of AI in China -- Deontology and best practices -- Regulation of AI industry -- AI in the developing world: a global justice perspective -- Regulation of AI in Europe -- Conclusion - Towards an ethical framework for AI in brain and mental health.
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, contributions examine some of the implications of AI in neuroscience and neurotechnology and the regulatory gaps or ambiguities that could potentially hamper the responsible development and implementation of AI solutions in brain and mental health. In light of its comprehensiveness and multi-disciplinary character, this book marks an important milestone in the public understanding of the ethics of AI in brain and mental health and provides a useful resource for any future investigation in this crucial and rapidly evolving area of AI application. The book is of interest to a wide audience in neuroethics, robotics, computer science, neuroscience, psychiatry and mental health.
ISBN: 9783030741884
Standard No.: 10.1007/978-3-030-74188-4doiSubjects--Topical Terms:
646849
Artificial Intelligence.
LC Class. No.: RC346-429.2
Dewey Class. No.: 616.8
Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues
LDR
:04831nam a22004095i 4500
001
1059933
003
DE-He213
005
20220211120207.0
007
cr nn 008mamaa
008
220414s2021 sz | s |||| 0|eng d
020
$a
9783030741884
$9
978-3-030-74188-4
024
7
$a
10.1007/978-3-030-74188-4
$2
doi
035
$a
978-3-030-74188-4
050
4
$a
RC346-429.2
072
7
$a
MJN
$2
bicssc
072
7
$a
MED056000
$2
bisacsh
072
7
$a
MKJ
$2
thema
082
0 4
$a
616.8
$2
23
245
1 0
$a
Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues
$h
[electronic resource] /
$c
edited by Fabrice Jotterand, Marcello Ienca.
250
$a
1st ed. 2021.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
XVI, 267 p. 8 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Advances in Neuroethics,
$x
2522-5685
505
0
$a
Introduction -- Part I Scientific Considerations and Challenges: AI-augmented neuroimaging -- AI analytics in brain cancer screening -- AI analytics to detect pre-symptomatic dementia -- AI analytics in schizophrenia -- Wearables, mHealth and mental health monitoring -- Prevention of mental disorders through social media -- The brain health modeling initiative and the promise of AI -- Assistive robotics for dementia and mild cognitive impairment -- Telehealth and robotherapy in psychiatry -- Robot-assisted neurorehabilitation -- Brain-computer interfaces and AI-mediated neuromodulation -- Part III . Ethical Legal and Social Implications: Mental Privacy -- Algorithmic transparency – Measurement bias and ethical bias -- Discrimination and stigma -- Informed Consent -- Minimal risk -- Fairness and Research Allocation -- The black-box problem of medical AI -- The transformation of therapeutic relationships -- The role of IRBs -- The ethics of automated medical decision-making -- Accountability and Responsibility -- Designing moral technologies for brain and mental health -- AI and Human Beings: Philosophical and Ethical Perspectives -- Part III Policy Perspectives: Current regulatory frameworks in North America -- Gaps in existing regulations -- Policy and law of AI in China -- Deontology and best practices -- Regulation of AI industry -- AI in the developing world: a global justice perspective -- Regulation of AI in Europe -- Conclusion - Towards an ethical framework for AI in brain and mental health.
520
$a
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, contributions examine some of the implications of AI in neuroscience and neurotechnology and the regulatory gaps or ambiguities that could potentially hamper the responsible development and implementation of AI solutions in brain and mental health. In light of its comprehensiveness and multi-disciplinary character, this book marks an important milestone in the public understanding of the ethics of AI in brain and mental health and provides a useful resource for any future investigation in this crucial and rapidly evolving area of AI application. The book is of interest to a wide audience in neuroethics, robotics, computer science, neuroscience, psychiatry and mental health.
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Neuroscience.
$3
569964
650
2 4
$a
Moral Philosophy and Applied Ethics.
$3
1365939
650
1 4
$a
Neurology.
$3
593894
650
0
$a
Psychiatry.
$3
585488
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Philosophy.
$3
559771
650
0
$a
Neurosciences.
$3
593561
650
0
$a
Ethics.
$3
555769
650
0
$a
Neurology .
$3
1253459
700
1
$a
Ienca, Marcello.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1366889
700
1
$a
Jotterand, Fabrice.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
683027
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030741877
776
0 8
$i
Printed edition:
$z
9783030741891
776
0 8
$i
Printed edition:
$z
9783030741907
830
0
$a
Advances in Neuroethics,
$x
2522-5677
$3
1307790
856
4 0
$u
https://doi.org/10.1007/978-3-030-74188-4
912
$a
ZDB-2-SME
912
$a
ZDB-2-SXM
950
$a
Medicine (SpringerNature-11650)
950
$a
Medicine (R0) (SpringerNature-43714)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入