Eleanore Hickman

University of Cambridge - Faculty of Law

10 West Road

Cambridge, CB3 9DZ

United Kingdom

SCHOLARLY PAPERS

5

DOWNLOADS

473

SSRN CITATIONS

8

CROSSREF CITATIONS

1

Scholarly Papers (5)

1.

Trustworthy AI and Corporate Governance – The EU’s Ethics Guidelines For Trustworthy Artificial Intelligence from a Company Law Perspective

Number of pages: 43 Posted: 16 Jun 2020
Eleanore Hickman and Martin Petrin
University of Cambridge - Faculty of Law and University College London - Faculty of Laws
Downloads 385 (95,121)
Citation 8

Abstract:

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Artificial intelligence, AI, corporate governance, corporate law, company law, EU Guidelines for Trustworthy AI, human agency, oversight, privacy, data protection, transparency, diversity, accountability

2.

The Roles and Risks of European Central Security Depositories

Jens-Hinrich Binder and Paolo Saguato (eds), Financial Market Infrastructure: Law and Regulation (OUP, 2021 Forthcoming)
Number of pages: 37 Posted: 22 Dec 2020
Eilis Ferran and Eleanore Hickman
University of Cambridge - Faculty of Law and University of Cambridge - Faculty of Law
Downloads 65 (414,035)

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central securities depositories, financial market infrastructures, financial stability, securities, systemic risk

3.

Boardroom Gender Diversity: A Behavioural Economics Analysis

Journal of Corporate Law Studies 14.2 (2014): 385-418.
Number of pages: 34 Posted: 09 Nov 2019
Eleanore Hickman
University of Cambridge - Faculty of Law
Downloads 23 (606,989)
Citation 1

Abstract:

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gender, diversity, governance, behavioural economics, transaction cost economics, boardroom

4.

The Problems with Appointing on Merit. A Human Capital Analysis

Journal of Corporate Law Studies, 21:1, 109-134, DOI: 10.1080/14735970.2020.1844536
Posted: 22 Mar 2021
Eleanore Hickman
University of Cambridge - Faculty of Law

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corporate governance, UK Corporate Governance Code, Diversity, Human Capital, Social Capital, Cultural Capital

5.

On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls

Front. Hum. Dyn., 08 July 2021 | https://doi.org/10.3389/fhumd.2021.673104
affiliation not provided to SSRN, Pace University - Dyson College of Arts and Sciences, affiliation not provided to SSRN, affiliation not provided to SSRN, New York University (NYU) - Division of Infectious Diseases and Immunology, affiliation not provided to SSRN, Pennsylvania State University, Dickinson Law, affiliation not provided to SSRN, University of Cambridge - Faculty of Law, University of Tubingen, University of Copenhagen - Department of Media, Cognition and Communication, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Goethe University, Department of Economy, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Copenhagen - Faculty of Science, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Tuebingen, affiliation not provided to SSRN, Universität Marburg (Institut für Handels- und Wirtschaftsrecht), affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University College London - Faculty of Laws, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN

Abstract:

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Artificial Intelligence, Ethics, Trustworthy AI, Healthcare, AI HLEG