Nayana and I staged the first live edition of our podcast AlgoRhythms last night to cover the results of the election as they come in. The three and a half hour (!) video is below.
This election is not just about where — it’s also about when. When 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.
Since 2016, social media companies and news providers have come under pressure to tackle the spread of political mis-and disinformation (MDI) online. However, despite evidence that online health MDI (on the web, on social media, and within mobile apps) also has negative real-world effects, there has been a lack of comparable action by either online service providers or state-sponsored public health bodies. We argue that this is problematic and seek to answer three questions: why has so little been done to control the flow of, and exposure to, health MDI online; how might more robust action be justified; and what specific, newly justified actions are needed to curb the flow of, and exposure to, online health MDI?
A new paper written by Jessica Morley, myself, Rosaria Taddeo and Luciano Floridi has now been published in the Journal of Medical Internet Research.
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).
The slow, deliberative nature of representative democracy seems ill-suited to the urgency of the present moment. Can it survive the new politics of speed?
Read my new blog post on Medium.
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.
A new paper I co-authored with Luciano Floridi, Thomas C. King and Mariarosaria Taddeo has been published (open access) in Science and Engineering Ethics.
The idea of artificial intelligence for social good (henceforth AI4SG) is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are essential for future AI4SG initiatives. The analysis is supported by 27 case examples of AI4SG projects. Some of these factors are almost entirely novel to AI, while the significance of other factors is heightened by the use of AI. From each of these factors, corresponding best practices are formulated which, subject to context and balance, may serve as preliminary guidelines to ensure that well-designed AI is more likely to serve the social good.