Christopher Burr

University of Oxford - Oxford Internet Institute

1 St. Giles

University of Oxford

Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS

United Kingdom

SCHOLARLY PAPERS

4

DOWNLOADS

503

SSRN CITATIONS

3

CROSSREF CITATIONS

0

Scholarly Papers (4)

1.

The Ethics of Digital Well-Being: A Thematic Review

Number of pages: 35 Posted: 12 Mar 2019 Last Revised: 02 Apr 2019
Christopher Burr, Mariarosaria Taddeo and Luciano Floridi
University of Oxford - Oxford Internet Institute, University of Oxford - Oxford Internet Institute and University of Oxford - Oxford Internet Institute
Downloads 246 (130,719)
Citation 4

Abstract:

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artificial intelligence, digital well-being, ethics of technology, positive computing, self-determination

2.

The Debate on the Ethics of AI in Health Care: A Reconstruction and Critical Review

Number of pages: 35 Posted: 26 Nov 2019
Oxford Internet Institute, affiliation not provided to SSRN, University of Oxford - Oxford Internet Institute, University of Oxford - Oxford Internet Institute, University of Oxford - Oxford Internet Institute and University of Oxford - Oxford Internet Institute
Downloads 115 (253,596)

Abstract:

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Artificial Intelligence; Ethics; Healthcare; Health Policies; Machine Learning

3.

Empowerment or Engagement? Digital Health Technologies for Mental Healthcare

Number of pages: 29 Posted: 10 Jun 2019
Christopher Burr and Jessica Morley
University of Oxford - Oxford Internet Institute and Oxford Internet Institute
Downloads 75 (334,352)

Abstract:

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digital health technology, empowerment, patient engagement, mental health, artificial intelligence, bioethics

4.

Digital Psychiatry: Ethical Risks and Opportunities for Public Health and Well-Being

Number of pages: 30 Posted: 09 Nov 2019
University of Oxford - Oxford Internet Institute, Oxford Internet Institute, University of Oxford - Oxford Internet Institute and University of Oxford - Oxford Internet Institute
Downloads 67 (353,147)

Abstract:

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artificial intelligence, digital ethics, digital psychiatry, digital well-being, mental health, big data, machine learning, public health