Artificial Intelligence, Patient Autonomy and Informed Consent
Artificial intelligence (AI) is rapidly being implemented in the healthcare sphere, threatening the ability of patients to make judgments tailored to their personal circumstances and beliefs. This book is concerned with the ability of two legal systems, those of the UK and the U.S., to meet the resu...
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| Formaat: | Online |
| Taal: | Engels |
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Nomos Verlagsgesellschaft mbH & Co. KG
2024
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| Online toegang: | ONIX_20241031_9783748948919_107 |
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| _version_ | 1869531121520214016 |
|---|---|
| author | Günther, Christian |
| author_browse | Günther, Christian |
| author_facet | Günther, Christian |
| author_sort | Günther, Christian |
| collection | Directory of Open Access Books |
| description | Artificial intelligence (AI) is rapidly being implemented in the healthcare sphere, threatening the ability of patients to make judgments tailored to their personal circumstances and beliefs. This book is concerned with the ability of two legal systems, those of the UK and the U.S., to meet the resulting challenges posed to patient autonomy. It deploys a forward-looking analysis to identify the unique problems raised by clinical AI and to anticipate the responses that are offered by the common law’s doctrine of informed consent. This assessment culminates in a concrete proposal for the regulation of medical AI and an affirmation of the law’s fundamental role in societies’ adaptation to innovative technologies. |
| format | Online |
| id | doab-20.500.12854ir-147020 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Nomos Verlagsgesellschaft mbH & Co. KG |
| publisherStr | Nomos Verlagsgesellschaft mbH & Co. KG |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1470202024-10-31T14:52:00Z Artificial Intelligence, Patient Autonomy and Informed Consent Günther, Christian USA Innovation England Common Law Principles UK liability medical law Machine Learning AI technology law Clinical Negligence Common Law Theory thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability Artificial intelligence (AI) is rapidly being implemented in the healthcare sphere, threatening the ability of patients to make judgments tailored to their personal circumstances and beliefs. This book is concerned with the ability of two legal systems, those of the UK and the U.S., to meet the resulting challenges posed to patient autonomy. It deploys a forward-looking analysis to identify the unique problems raised by clinical AI and to anticipate the responses that are offered by the common law’s doctrine of informed consent. This assessment culminates in a concrete proposal for the regulation of medical AI and an affirmation of the law’s fundamental role in societies’ adaptation to innovative technologies. 2024-10-31T14:51:57Z 2024-10-31T14:51:57Z 2024 book ONIX_20241031_9783748948919_107 9783748948919 9783756022397 https://directory.doabooks.org/handle/20.500.12854/147020 eng Studien aus dem Max-Planck-Institut für Sozialrecht und Sozialpolitik image/png Attribution 4.0 International https://www.nomos-shop.de/de/p/artificial-intelligence-patient-autonomy-and-informed-consent-gr-978-3-7560-2239-7 https://www.doi.org/10.5771/9783748948919 Nomos Verlagsgesellschaft mbH & Co. KG 10.5771/9783748948919 10.5771/9783748948919 20c8b06d-3b2b-4af2-acda-fbcfdfea5744 520af965-345d-42b6-8903-92a044bd53a4 7d48738a-6759-43c9-974a-c93e736baeb1 9783748948919 9783756022397 Max Planck Society (MPG) 81 433 Baden-Baden [...] Max Planck Society (MPG) MPG 04a0tr310 open access |
| spellingShingle | USA Innovation England Common Law Principles UK liability medical law Machine Learning AI technology law Clinical Negligence Common Law Theory thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability Günther, Christian Artificial Intelligence, Patient Autonomy and Informed Consent |
| title | Artificial Intelligence, Patient Autonomy and Informed Consent |
| title_full | Artificial Intelligence, Patient Autonomy and Informed Consent |
| title_fullStr | Artificial Intelligence, Patient Autonomy and Informed Consent |
| title_full_unstemmed | Artificial Intelligence, Patient Autonomy and Informed Consent |
| title_short | Artificial Intelligence, Patient Autonomy and Informed Consent |
| title_sort | artificial intelligence patient autonomy and informed consent |
| topic | USA Innovation England Common Law Principles UK liability medical law Machine Learning AI technology law Clinical Negligence Common Law Theory thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability |
| topic_facet | USA Innovation England Common Law Principles UK liability medical law Machine Learning AI technology law Clinical Negligence Common Law Theory thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability |
| url | ONIX_20241031_9783748948919_107 |
| work_keys_str_mv | AT guntherchristian artificialintelligencepatientautonomyandinformedconsent |