AI4People’s Ethical Framework for a Good AI Society


The Ethical Framework for “Good AI Society”  reports the findings of AI4People, the Atomium – EISMD initiative designed to lay the foundations for a “Good AI Society” through the creation of an ethical framework.

The opportunities and risks of AI for Society

Establishing an ethical framework for AI in society requires an explanation of the opportunities and risks that the design and use of the technology presents. We identify four ways in which, at a high level, AI technology may have a positive impact on society, if it is designed and used appropriately. Each of these four opportunities has a corresponding risk, which may result from its overuse or misuse. There is also an overarching risk that AI might be underused, relative to its potential positive impact, creating an opportunity cost. An ethical framework for AI must be designed to maximise these opportunities and minimise the related risks.

A unified framework of principles for AI

Several multistakeholder groups have created statements of ethical principles which should guide the development and adoption of AI. Rather than repeat the same process here, we instead present a comparative analysis of several of these sets of principles. Each principle expressed in each of the documents we analyse is encapsulated by one of five overarching principles. Four of these – beneficence, nonmaleficence, autonomy, and justice – are established principles of medical ethics, but a fifth – explicability – is also required, to capture the novel ethical challenges posed by AI.

Twenty recommendations for a Good AI Society

We offer 20 concrete recommendations tailored to the European context which, if adopted, would facilitate the development and adoption of AI that maximises its opportunities, minimises its risks, and respects the core ethical principles identified. Each recommendation takes one of four forms: to assess, to develop, to incentivise, or to support good AI. These recommendations may in some cases be undertaken directly by national or supranational policy makers, and in others may be led by other stakeholders. Taken together with the opportunities, risks and ethical principles we identify, the recommendations constitute the final element of an ethical framework for a good AI society.