Towards AI Standards: Thought-Leadership in Ai Legal, Ethical and Safety Specifications Through Experimentation

28 Pages Posted: 5 Oct 2021 Last revised: 11 Nov 2021

See all articles by Roseline Polle

Roseline Polle

University College London

Emre Kazim

Holistic AI; University College London

Graca Carvalho

University College London

Adriano Koshiyama

Department of Computer Science, University College London

Catherine Inness

University College London

Andrew Knight

Royal Institution of Chartered Surveyors

Caroline Gorski

Rolls-Royce plc.

David Barber

University College London

Elizabeth Lomas

University College London

Emine Yilmaz

University College London

Gary Thompson

Big Innovation Centre

Ghazi Ahamat

Centre for Data Ethics and Innovation

Giles Pavey

Unilever - Unilever PLC London

Katherine Platts

Unilever

Lukasz Szpruch

University of Edinburgh - School of Mathematics

Miro Gregorovic

London Stock Exchange

Miguel Rodrigues

University College London

Pam Ugwudike

University of Southampton

Parashkev Nachev

University College of London

Pete Rai

Cisco Systems

Philip Treleaven

University College London

Randy Goebel

University of Alberta

Date Written: October 4, 2021

Abstract

With the rapid adoption of algorithms in business and society there is a growing concern to safeguard the public interest. Researchers, policy-makers and industry sharing this view convened to collectively identify future areas of focus in order to advance AI standards - in particular the acute need to ensure standard suggestions are practical and empirically informed. This discussion occurred in the context of the creation of a lab at UCL with these concerns in mind (currently dubbed as UCL The Algorithms Standards and Technology Lab). Via a series of panels, with the main stakeholders, three themes emerged, namely (i) Building public trust, (ii) Accountability and Operationalisation, and (iii) Experimentation. In order to forward the themes, lab activities will fall under three streams - experimentation, community building and communication. The Lab’s mission is to provide thought-leadership in AI standards through experimentation.

Keywords: Artificial Intelligence, Ethics, Risk-Management, Robustness, Privacy, Fairness, Explainability, Auditability, Risk, Assessment

Suggested Citation

Polle, Roseline and Kazim, Emre and Carvalho, Graca and Koshiyama, Adriano and Inness, Catherine and Knight, Andrew and Gorski, Caroline and Barber, David and Lomas, Elizabeth and Yilmaz, Emine and Thompson, Gary and Ahamat, Ghazi and Pavey, Giles and Platts, Katherine and Szpruch, Lukasz and Gregorovic, Miro and Rodrigues, Miguel and Ugwudike, Pam and Nachev, Parashkev and Rai, Pete and Treleaven, Philip and Goebel, Randy, Towards AI Standards: Thought-Leadership in Ai Legal, Ethical and Safety Specifications Through Experimentation (October 4, 2021). Available at SSRN: https://ssrn.com/abstract=3935987 or http://dx.doi.org/10.2139/ssrn.3935987

Roseline Polle

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Emre Kazim (Contact Author)

Holistic AI ( email )

18 Soho Square
London, W1D 3QH

University College London ( email )

United Kingdom

Graca Carvalho

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Adriano Koshiyama

Department of Computer Science, University College London ( email )

Gower Street
London, London WC1E 6BT
United Kingdom

Catherine Inness

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Andrew Knight

Royal Institution of Chartered Surveyors ( email )

London
United Kingdom

Caroline Gorski

Rolls-Royce plc. ( email )

Derby, DE24 8BJ
United Kingdom

David Barber

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Elizabeth Lomas

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Emine Yilmaz

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Gary Thompson

Big Innovation Centre ( email )

Ergon House
Horseferry Rd
London, SW1P 2AL
United Kingdom

Ghazi Ahamat

Centre for Data Ethics and Innovation ( email )

London
United Kingdom

Giles Pavey

Unilever - Unilever PLC London ( email )

P.O. Box 68
Blackfriars
London EC4P 4BQ
United States

Katherine Platts

Unilever ( email )

United States

Lukasz Szpruch

University of Edinburgh - School of Mathematics ( email )

James Clerk Maxwell Building
Peter Guthrie Tait Rd
Edinburgh, EH9 3FD
United Kingdom

Miro Gregorovic

London Stock Exchange ( email )

London EC2N 1HP
United States

Miguel Rodrigues

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Pam Ugwudike

University of Southampton ( email )

University Rd.
Southampton SO17 1BJ, Hampshire SO17 1LP
United Kingdom

Parashkev Nachev

University College of London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Pete Rai

Cisco Systems ( email )

San Jose, CA 95134
United States

Philip Treleaven

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Randy Goebel

University of Alberta ( email )

Edmonton, Alberta T6G 2R3
Canada

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