The European Artificial Intelligence Strategy: Implications and Challenges for Digital Health

Research output: Contribution to journalJournal articlepeer-review

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The European Artificial Intelligence Strategy: Implications and Challenges for Digital Health. / Cohen, Glenn ; Evgeniou, Theodoros; Gerke, Sara; Minssen, Timo.

In: The Lancet Digital Health, Vol. 2, No. 7, 23.06.2020, p. 376-379.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Cohen, G, Evgeniou, T, Gerke, S & Minssen, T 2020, 'The European Artificial Intelligence Strategy: Implications and Challenges for Digital Health', The Lancet Digital Health, vol. 2, no. 7, pp. 376-379. https://doi.org/10.1016/S2589-7500(20)30112-6

APA

Cohen, G., Evgeniou, T., Gerke, S., & Minssen, T. (2020). The European Artificial Intelligence Strategy: Implications and Challenges for Digital Health. The Lancet Digital Health, 2(7), 376-379. https://doi.org/10.1016/S2589-7500(20)30112-6

Vancouver

Cohen G, Evgeniou T, Gerke S, Minssen T. The European Artificial Intelligence Strategy: Implications and Challenges for Digital Health. The Lancet Digital Health. 2020 Jun 23;2(7):376-379. https://doi.org/10.1016/S2589-7500(20)30112-6

Author

Cohen, Glenn ; Evgeniou, Theodoros ; Gerke, Sara ; Minssen, Timo. / The European Artificial Intelligence Strategy: Implications and Challenges for Digital Health. In: The Lancet Digital Health. 2020 ; Vol. 2, No. 7. pp. 376-379.

Bibtex

@article{2931fd0ebb4f4ecd8befcee948a31c92,
title = "The European Artificial Intelligence Strategy: Implications and Challenges for Digital Health",
abstract = "SummaryIn February, 2020, the European Commission published a white paper on artificial intelligence (AI) as well as an accompanying communication and report. The paper sets out policy options to facilitate a secure and trustworthy development of AI and considers health to be one of its most important areas of application. We illustrate that the European Commission's approach, as applied to medical AI, presents some challenges that can be detrimental if not addressed. In particular, we discuss the issues of European values and European data, the update problem of AI systems, and the challenges of new trade-offs such as privacy, cybersecurity, accuracy, and intellectual property rights. We also outline what we view as the most important next steps in the Commission's iterative process. Although the European Commission has done good work in setting out a European approach for AI, we conclude that this approach will be more difficult to implement in health care. It will require careful balancing of core values, detailed consideration of nuances of health and AI technologies, and a keen eye on the political winds and global competition.",
author = "Glenn Cohen and Theodoros Evgeniou and Sara Gerke and Timo Minssen",
year = "2020",
month = jun,
day = "23",
doi = "10.1016/S2589-7500(20)30112-6",
language = "English",
volume = "2",
pages = "376--379",
journal = "The Lancet Digital Health",
issn = "2589-7500",
publisher = "Elsevier",
number = "7",

}

RIS

TY - JOUR

T1 - The European Artificial Intelligence Strategy: Implications and Challenges for Digital Health

AU - Cohen, Glenn

AU - Evgeniou, Theodoros

AU - Gerke, Sara

AU - Minssen, Timo

PY - 2020/6/23

Y1 - 2020/6/23

N2 - SummaryIn February, 2020, the European Commission published a white paper on artificial intelligence (AI) as well as an accompanying communication and report. The paper sets out policy options to facilitate a secure and trustworthy development of AI and considers health to be one of its most important areas of application. We illustrate that the European Commission's approach, as applied to medical AI, presents some challenges that can be detrimental if not addressed. In particular, we discuss the issues of European values and European data, the update problem of AI systems, and the challenges of new trade-offs such as privacy, cybersecurity, accuracy, and intellectual property rights. We also outline what we view as the most important next steps in the Commission's iterative process. Although the European Commission has done good work in setting out a European approach for AI, we conclude that this approach will be more difficult to implement in health care. It will require careful balancing of core values, detailed consideration of nuances of health and AI technologies, and a keen eye on the political winds and global competition.

AB - SummaryIn February, 2020, the European Commission published a white paper on artificial intelligence (AI) as well as an accompanying communication and report. The paper sets out policy options to facilitate a secure and trustworthy development of AI and considers health to be one of its most important areas of application. We illustrate that the European Commission's approach, as applied to medical AI, presents some challenges that can be detrimental if not addressed. In particular, we discuss the issues of European values and European data, the update problem of AI systems, and the challenges of new trade-offs such as privacy, cybersecurity, accuracy, and intellectual property rights. We also outline what we view as the most important next steps in the Commission's iterative process. Although the European Commission has done good work in setting out a European approach for AI, we conclude that this approach will be more difficult to implement in health care. It will require careful balancing of core values, detailed consideration of nuances of health and AI technologies, and a keen eye on the political winds and global competition.

U2 - 10.1016/S2589-7500(20)30112-6

DO - 10.1016/S2589-7500(20)30112-6

M3 - Journal article

VL - 2

SP - 376

EP - 379

JO - The Lancet Digital Health

JF - The Lancet Digital Health

SN - 2589-7500

IS - 7

ER -

ID: 237484118