Book contents
- AI in eHealth
- Cambridge Bioethics and Law
- AI in eHealth
- Copyright page
- Contents
- Contributors
- Preface
- Acronyms
- 1Mapping the Digital Healthcare Revolution
- Part IPlatforms, Apps and Digital Health
- Part IITrust and Design
- 5Privacy Management in eHealth Using Contextual Consenting
- 6Artificial Intelligence and Data Protection Law
- 7AI Technologies and Accountability in Digital Health
- Part IIIKnowledge, Risk and Control
- Part IVBalancing Regulation, Innovation and Ethics
- Index
- Cambridge Bioethics and Law
- References
6 - Artificial Intelligence and Data Protection Law
from Part II - Trust and Design
Published online by Cambridge University Press: 08 September 2022
Book contents
- AI in eHealth
- Cambridge Bioethics and Law
- AI in eHealth
- Copyright page
- Contents
- Contributors
- Preface
- Acronyms
- 1Mapping the Digital Healthcare Revolution
- Part IPlatforms, Apps and Digital Health
- Part IITrust and Design
- 5Privacy Management in eHealth Using Contextual Consenting
- 6Artificial Intelligence and Data Protection Law
- 7AI Technologies and Accountability in Digital Health
- Part IIIKnowledge, Risk and Control
- Part IVBalancing Regulation, Innovation and Ethics
- Index
- Cambridge Bioethics and Law
- References
Summary
Artificial intelligence and automation are finding their way into the healthcare sector – some systems even claim to deliver better results than human physicians. However, the increasing automation of medical decision-making is also accompanied by problems such as the maintenance of the relationship of trust between physicians and patients or the verification of decisions. This is where the patient’s right to explanation, which is enshrined in the General Data Protection Regulation (GDPR), comes into play. This chapter explains how the right is derived from the GDPR and how it should be established.
Information
- Type
- Chapter
- Information
- AI in eHealthHuman Autonomy, Data Governance and Privacy in Healthcare, pp. 147 - 165Publisher: Cambridge University PressPrint publication year: 2022
References
Arel, I, Rose, D and Karnowski, T, ‘Deep Machine Learning – A New Frontier in Artificial Intelligence Research’ (2010) 5(6) November IEEE Computational Intelligence Magazine 13–18.Google Scholar
Cormen, TH, Leiserson, CE, Rivest, R and Stein, C, Algorithmen – Eine Einführung (4th ed. de Gruyter 2017).CrossRefGoogle Scholar
Bitkom, DFK (eds), ‘Künstliche Intelligenz – Wirtschaftliche Bedeutung, gesellschaftliche Herausforderungen, menschliche Verantwortung’ (2017), www.bitkom.org/sites/default/files/file/import/171012-KI-Gipfelpapier-online.pdf, accessed 25 April 2019.Google Scholar
Doshi-Velez, F and Kortz, M, ‘Accountability of AI under the Law: The Role of Explanation’ (2017) 18-07 Harvard Public Law Working Paper.Google Scholar
Ernst, C, ‘Algorithmische Entscheidungsfindung und Personenbezogene Daten’ (2017) 72(21) Juristen Zeitung 1026–36.Google Scholar
Hall, P, Phan, W and Ambati, S, ‘Ideas on Interpreting Machine Learning’ (2017), www.oreilly.com/ideas/ideas-on-interpreting-machine-learning, accessed 15 March 2017.Google Scholar
Hoffman-Riem, W, ‘Verhaltenssteuerung durch Algorithmen – Eine Herausfo-rderung für das Recht’ (2017) 142 Archiv des Öffentlichen Rechts 6–36.Google Scholar
Honey, C, ‘Künstliche Intelligenz – Die Suche nach dem Babelfisch’ (2016) Zeit Online, www.zeit.de/digital/internet/2016-08/kuenstliche-intelligenz-geschichte-neuronale-netze-deep-learning, accessed 24 April 2019.Google Scholar
Kroll, JA, Huey, J and Barocas, S et al., ‘Accountable Algorithms’ (2017) 165(3) University of Pennsylvania Law Review 633–705.Google Scholar
LeCun, Y, Bengio, Y and Hinton, G, ‘Deep Learning’ (2017) 521 Nature Deep Review 436–44.Google Scholar
Malgieri, G and Comandé, G, ‘Why a Right to Legibility of Automated Decision-Making Exists in the General Data Protection Regulation’ (2017) 7(4) International Data Privacy 243–65.Google Scholar
Martini, M ‘Algorithmen als Herausforderung für die Rechtsordnung’ (2017) 72(21) Juristische Zeitung 1017–25.Google Scholar
Paal, B and Pauly, D (eds), Datenschutz-Grundverordnung, Bundesdatenschutzgesetz (2nd ed. C. H. Beck 2018).Google Scholar
Price, N, ‘Black-Box Medicine’ (2015) 28(2) Harvard Journal of Law & Technology 419–67.Google Scholar
Ribeiro, M, Singh, S and Guestrin, C, ‘Why Should I Trust You? Explaining the Predictions of Any Classifier’ (2016), https://arxiv.org/abs/1602.04938, accessed 27 June 2018.Google Scholar
Schmidhuber, J, ‘Deep Learning in Neural Networks: An Overview’ (2015) 61 Neural Networks 85.CrossRefGoogle ScholarPubMed
Seifert, C et al., ‘Visualizations of Deep Neural Networks in Computer Vision: A Survey’ in Cerquitelli, T, Quercia, D and Pasquale, F (eds), Transparent Data Mining for Big and Small Data (Springer 2017), 123–25.Google Scholar
Stiemerling, O, ‘Künstliche Intelligenz – Automatisierung geistiger Arbeit, Big Data und das Internet der Dinge’ (2015) 12 Computer & Recht 762.Google Scholar
Wachter, S, Mittelstadt, B and Russell, C, ‘Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR’ (2018) 31(2) Harvard Journal of Law & Technology 841–87.Google Scholar
Wolff, H and Brink, S, ‘Beck’scher Online-Kommentar Datenschutzrecht’ (27th ed. C.H. Beck 2019).Google Scholar
Accessibility standard: Unknown
Why this information is here
This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.Accessibility Information
Accessibility compliance for the HTML of this chapter is currently unknown and may be updated in the future.