A definition, benchmark and database of AI for social good initiatives

Initiatives relying on artificial intelligence (AI) to deliver socially beneficial outcomes—AI for social good (AI4SG)—are on the rise. However, existing attempts to understand and foster AI4SG initiatives have so far been limited by the lack of normative analyses and a shortage of empirical evidence. In this Perspective, we address these limitations by providing a definition of AI4SG and by advocating the use of the United Nations’ Sustainable Development Goals (SDGs) as a benchmark for tracing the scope and spread of AI4SG.

A new “perspective” paper by myself, Andreas Tsamados, Mariarosaria Taddeo and Luciano Floridi has recently been published in Nature: Machine Intelligence.

A nervous onlooker’s guide to the 2020 presidential election, which will be fought in four dimensions

This election is not just about where — it’s also about whenWhen states report votes — and which votes are reported first— is likely to have a considerable impact on the perception of who is ahead at any given time.

I have a new blog post about the 2020 US presidential election now up on Medium.

The Ethics of AI in Health Care: a Mapping Review

This article presents a mapping review of the literature concerning the ethics of artificial intelligence (AI) in health care. The goal of this review is to summarise current debates and identify open questions for future research. Our goal is to inform policymakers, regulators and developers of what they must consider if they are to enable health and care systems to capitalise on the dual advantage of ethical AI; maximising the opportunities to cut costs, improve care, and improve the efficiency of health and care systems, whilst proactively avoiding the potential harms.

I am a co-author on a new paper written with Jessica Morley, Caio Machado, Chris Burr, Indra Joshi, Rosaria Taddeo and Luciano Floridi, now published in Social Science and Medicine.

The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation


In this article, we focus on the socio-political background and policy debates that are shaping China’s AI strategy. In particular, we analyse the main strategic areas in which China is investing in AI and the concurrent ethical debates that are delimiting its use. By focusing on the policy backdrop, we seek to provide a more comprehensive and critical understanding of China’s AI policy by bringing together debates and analyses of a wide array of policy documents.

A new paper by Huw Roberts, myself, Jess Morley, Vincent Wang, Rosaria Taddeo and Luciano Floridi has been published in AI & Society.

Ethical guidelines for COVID-19 tracing apps

Here we set out 16 questions to assess whether — and to what extent — a contact-tracing app is ethically justifiable. These questions could assist governments, public-health agencies and providers [and] will also help watchdogs and others to scrutinize such technologies.

A comment piece by colleagues Jessica Morley, Rosaria Taddeo, Luciano Floridi and myself was recently published in Nature.

Deciding How to Decide: Six Key Questions for Reducing AI’s Democratic Deficit

I contributed a chapter to the 2019 Yearbook of the Digital Ethics Lab, which has just been published.


Through its power to “rationalise”, artificial intelligence (AI) is rapidly changing the relationship between people and the state. But to echo Max Weber’s warnings from one hundred years ago about the increasingly rational bureaucratic state, the “reducing” power of AI systems seems to pose a threat to democracy—unless such systems are developed with public preferences, perspectives and priorities in mind. In other words, we must move beyond minimal legal compliance and faith in free markets to consider public opinion as constitutive of legitimising the use of AI in society. In this chapter I pose six questions regarding how public opinion about AI ought to be sought: what we should ask the public about AI; how we should ask; where and when we should ask; why we should ask; and who is the “we” doing the asking. I conclude by contending that while the messiness of politics may preclude clear answers about the use of AI, this is preferable to the “coolly rational” yet democratically deficient AI systems of today.