Principles and business processes for responsible AI |
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| Institution: | 1. Xamax Consultancy Pty Ltd, Canberra, Australia;2. Australian National University, Canberra, Australia;3. University of N.S.W., Sydney, Australia;1. Oxford Internet Institute, University of Oxford, 1St. Giles, Oxford OX1 3JS, UK;2. Harvard Law School, Harvard University, Cambridge, MA 02138, USA;3. The Alan Turing Institute, British Library, 96 Euston Road, London NW1 2DB, UK;4. Department of Electrical and Electronic Engineering, University of Surrey, Guildford GU2 7HX, UK;1. Musashi University, 1-26-1 Toyotama-kami Nerima-ku, Tokyo 176-8534, Japan;2. Nagoya University, Furo-cho Chikusa-ku, Nagoya 464-8601, Japan |
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| Abstract: | The first article in this series examined why the world wants controls over Artificial Intelligence (AI). This second article discusses how an organisation can manage AI responsibly, in order to protect its own interests, but also those of its stakeholders and society as a whole. A limited amount of guidance is provided by ethical analysis. A much more effective approach is to apply adapted forms of the established techniques of risk assessment and risk management. Critically, risk assessment needs to be undertaken not only with the organisation's own interests in focus, but also from the perspectives of other stakeholders. To underpin this new form of business process, a set of Principles for Responsible AI is presented, consolidating proposals put forward by a diverse collection of 30 organisations. |
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