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The study then proposes an extensive range of ethically informed and stakeholder-specific policy options for the responsible implementation of AI/ML products, aligning them to defined values and ethical principles that prioritise human wellbeing in a given context. The entire set of policy options, viewed as ethical constraints, constitute a meta-ethical technology assessment framework directed towards the public administration and governmental organisations who are looking to deploy AI/ML solutions, as well as the private companies who are creating AI/ML solutions for use in the public space.

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Abstract

There is little doubt that artificial intelligence (AI) and machine learning (ML) will revolutionise public services. However, the power for positive change that AI provides simultaneously has a potential for negative impacts on society. AI ethics work to uncover the variety of ethical issues resulting from the design, development, and deployment of AI. The question at the centre of all current work in AI ethics is: ‘How can we move from AI ethics to specific policy and legislation for governing AI?’ Based on a framing of ‘AI as a social experiment’, this study arrives at policy options for public administrations and governmental organisations who are looking to deploy AI/ML solutions, as well as the private companies who are creating AI/ML solutions for use in the public arena. The reasons for targeting this application sector concern: the need for a high standard of transparency, respect for democratic values, and legitimacy. The policy options presented here chart a path towards accountability; procedures and decisions of an ethical nature are systematically logged prior to the deployment of an AI system. This logging is the first step in allowing ethics to play a crucial role in the implementation of AI for the public good.

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promote informed debate and discussion of the ethical, regulatory, and policy implications that arise from the development of AI. It will focus on how AI techniques, tools, and technologies are developing, including consideration of where these developments may lead in the future.

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