David Watson

King's College London

Strand

London, England WC2R 2LS

United Kingdom

SCHOLARLY PAPERS

13

DOWNLOADS
Rank 16,887

SSRN RANKINGS

Top 16,887

in Total Papers Downloads

5,940

TOTAL CITATIONS
Rank 41,484

SSRN RANKINGS

Top 41,484

in Total Papers Citations

45

Scholarly Papers (13)

1.

The epistemological foundations of data science: a critical analysis

Number of pages: 26 Posted: 14 Jan 2022
University of Oxford - Faculty of Philosophy, King's College London, affiliation not provided to SSRN, University of Oxford - Oxford Internet Institute and Yale University - Digital Ethics Center
Downloads 2,360 (12,593)
Citation 1

Abstract:

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Black box; Data-driven science; Data science; Epistemology; Foundationalism; Philosophy of science.

2.

The Ethics of Online Controlled Experiments (A/B testing)

Number of pages: 31 Posted: 21 Nov 2022
Coveo Labs, Coveo Solutions Inc, University of Florence - Department of Statistics, Computer Science, Applications, South Park Commons, University of Oxford - Oxford Internet Institute, South Park Commons, King's College London and Yale University - Digital Ethics Center
Downloads 522 (107,933)

Abstract:

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A/B tests, Research Ethics, Digital Ethics, Governance, Applied Ethics

3.

The Rise of Partisan Affective Polarization in the British Public

Number of pages: 29 Posted: 18 Nov 2019 Last Revised: 10 Dec 2019
Nahema Marchal and David Watson
University of Oxford - Oxford Internet Institute and King's College London
Downloads 489 (116,767)
Citation 3

Abstract:

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affective polarization; partisanship, British public, partisan bias, social identity

4.

The Explanation Game: A Formal Framework for Interpretable Machine Learning

Number of pages: 35 Posted: 17 Jan 2020 Last Revised: 08 Apr 2020
David Watson and Luciano Floridi
King's College London and Yale University - Digital Ethics Center
Downloads 486 (117,583)
Citation 11

Abstract:

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Algorithmic Explainability, Explanation Game, Interpretable Machine Learning, Pareto Frontier, Relevance

5.

The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other?

Mökander, J., Juneja, P., Watson, D.S. et al. The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?. Minds & Machines (2022). https://doi.org/10.1007/s11023-022-09612-y
Number of pages: 9 Posted: 18 Nov 2022
University of Oxford - Oxford Internet Institute, affiliation not provided to SSRN, King's College London and Yale University - Digital Ethics Center
Downloads 413 (142,577)

Abstract:

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Artificial Intelligence, Governance, Legislation, United States, European Union

6.

Models for Classifying AI Systems: The Switch, the Ladder, and the Matrix

Number of pages: 31 Posted: 30 Jun 2022
University of Oxford - Oxford Internet Institute, AstraZeneca, King's College London and Yale University - Digital Ethics Center
Downloads 403 (146,686)
Citation 1

Abstract:

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Artificial Intelligence, AI Systems, Ethics, Classification, Governance, Material Scope, Mental Models

7.

A Genealogical Approach to Algorithmic Bias

Number of pages: 24 Posted: 21 Mar 2024
Marta Ziosi, David Watson and Luciano Floridi
University of Oxford - Oxford Internet Institute, King's College London and Yale University - Digital Ethics Center
Downloads 257 (236,764)

Abstract:

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Artificial Intelligence, bias, epistemology, ethics, explainability, genealogy, machine learning

8.

Are the Dead Taking Over Facebook? A Big Data Approach to the Future of Online Death

Big Data & Society. Doi.org/10.1177/2053951719842540
Number of pages: 13 Posted: 30 Jun 2019
Carl Ohman and David Watson
Uppsala University - Department of Government and King's College London
Downloads 220 (275,271)
Citation 1

Abstract:

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Death Online, Digital Afterlife, Mortality, Ethics, Digital Preservation, Facebook

9.

Clinical Applications of Machine Learning Algorithms: Beyond the Black Box

Number of pages: 9 Posted: 07 Apr 2019
King's College London, University of Bergen - Department of Administration and Organization Theory, The University of Manchester, The University of Manchester, University of Glasgow, Queen Mary University of London and Yale University - Digital Ethics Center
Downloads 212 (285,119)
Citation 25

Abstract:

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Machine learning, explainability, black box algorithms

10.

Conceptual Challenges for Interpretable Machine Learning

Number of pages: 40 Posted: 20 Aug 2020 Last Revised: 27 Aug 2021
David Watson
King's College London
Downloads 198 (303,682)
Citation 3

Abstract:

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Artificial Intelligence, Algorithmic Explainability, Interpret-Able Machine Learning, Scientific Explanation, Severe Testing

11.

On The Philosophy of Unsupervised Learning

Number of pages: 30 Posted: 22 Sep 2022 Last Revised: 11 Apr 2023
David Watson
King's College London
Downloads 182 (327,805)

Abstract:

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Machine learning, metaphysics, epistemology, clustering, abstraction, generative modeling

12.

Local Explanations Via Necessity and Sufficiency: Unifying Theory and Practice

Synthese
Number of pages: 16 Posted: 19 Apr 2021 Last Revised: 10 Mar 2022
King's College London, University of Oxfordaffiliation not provided to SSRN, Google Inc. - Google Research Mountain View and Yale University - Digital Ethics Center
Downloads 155 (376,481)

Abstract:

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Philosophy, Ethics, Technology, AI

13.

The Paradox of Poor Representation: How Voter-Party Incongruence Curbs Affective Polarization

Number of pages: 35 Posted: 28 May 2021
Nahema Marchal and David Watson
University of Oxford - Oxford Internet Institute and King's College London
Downloads 43 (808,411)

Abstract:

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Incongruence, Ideology, Representation, Affective Evaluations, UK