Artificial intelligence: From ethics to policy

24-06-2020

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.

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.

Zunanji avtor

DG, EPRS_This study has been written by Dr Aimee van Wynsberghe of Delft University of Technology and co-director of the Foundation for Responsible Robotics at the request of the Panel for the Future of Science and Technology (STOA) and managed by the Scientific Foresight Unit, within the Directorate-General for Parliamentary Research Services (EPRS) of the Secretariat of the European Parliament.