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.
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.
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.
I was live on the BBC World Service’s Newsday programme this morning to discuss the escalation of tensions between President Donald Trump and the social networking site Twitter. Listen here (48 minutes in).
In a new blog on the Alan Turing Institute website, myself, Bertie Vidgen and Helen Margetts explain how the COVID-19 crisis has exposed the importance of social media, and argue for the protection of workers involved as content moderation as key workers.
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.
This is the politics of subtraction: the false promise that progress is only possible if we as a nation remove ourself from existing partnerships.
Read my new blog post on Medium.
I’ve launched a podcast! Co-presented with fellow Oxford Internet Institute PhD student Nayana Prakash, AlgoRhythms is a weekly show covering tech news and research, broadcast on Oxford University’s student radio station Oxide and released as a podcast. Each week, we cover the latest stories in technology and interview fellow researchers about their work.
You can find us on Apple Podcasts, Spotify and Overcast, and follow us on Twitter @OxAlgoRhythms.
In a new blog guest post for TechUK, co-authored with David Leslie, we explain why the development of trustworthy AI will rest on the ability to explain how it works and why it delivers particular decisions, to a range of different audiences.
I presented this paper at the Data Power conference at the University of Bremen in September 2019.
In “Politics as a Vocation”, the lecture that he gave one hundred years ago, Max Weber offered what would become one of his most influential ideas: that a state is that which “claims the monopoly of the legitimate use of physical force within a given territory”. Such use of violence, Weber argued, is legitimated in one of three distinct ways: by “tradition”, by “charisma”, or by the “virtue of ‘legality’ … the belief in the validity of legal statute … based on rationally created rules”.
In this centennial year of Weber’s lecture, much has been made of Weber’s prescience regarding modern-day charismatic demagogues. Yet it is in the conceptualisation of “legal-rational” legitimacy that greater purchase may be found when we grapple with the use of data and algorithms in contemporary society. As I will argue, the “iron cage” that Weber identified, which serves to constrain human freedom through the coercive combination of efficiency and calculation, has been supplanted. Today, we instead occupy what might be called a “silicon cage”, resulting from a step change in the nature and extent of calculation and prediction relating to people’s activities and intentions.
Moreover, while the bureaucratisation that Weber described was already entwined with a capitalist logic, the silicon cage of today has emerged from an even firmer embedding of the tools, practices and ideologies of capitalist enterprise in the rules-based (we might say algorithmic) governance of everyday life. Alternative arrangements present themselves, however, in the form of both “agonistic” and “cooperative” democracy.