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Publications
Publications (79)
The discursive construction of sociotechnical imaginaries by the leaders of platform companies can help legitimate their platforms, shaping how they are perceived and ultimately regulated. Scholars have identified the construction of “future imaginaries” by large platform companies such as Meta—but do smaller platforms also seek to construct imagin...
In September 2021, the UK government published a set of proposed reforms to its data protection regime for public consultation, later in June 2022 it released the response to the consultation, acknowledging the reforms it intends to adopt. The reforms are part of a broader national strategy, which aims to incentivize data-driven innovation and make...
The world’s current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive environmental outcomes. Transitioning to a circular economy (CE) model of development has been proposed as a sustainable alternative. Artificial intelligence (AI) is a crucial enabler...
Much focus of the emerging research front known as platform governance is concerned with content moderation and other ways in which platform companies govern users and activity on their own platforms, as well as with how platforms are themselves governed by states (Gorwa, Inf Commun Soc 22(6): 854–871, 2019). Meanwhile, a related but distinct inter...
Events such as the riot at the United States Capitol and tightening constraints on the Russian public sphere have highlighted the socio-political significance of app store governance. This is dominated by Apple and Google as operators of the two largest smartphone platforms. In this article, we analyse two case studies: the removals from app stores...
In this article, we compare the artificial intelligence strategies of China and the European Union, assessing the key similarities and differences regarding what the high-level aims of each governance strategy are, how the development and use of AI is promoted in the public and private sectors, and whom these policies are meant to benefit. We chara...
Artificial intelligence (AI) is already having a major impact on society. In this chapter, the authors report the results of a fine‐grained analysis of several of the highest‐profile sets of ethical principles for AI. They assess whether these principles are convergent, with a set of agreed‐upon principles, or divergent, with significant disagreeme...
Who governs—and who should govern—online communication? Social media companies, international organizations, users, or the state? And by what means? A range of rhetorical devices have been used to simplify the complexities associated with the governance of online platforms. This includes “constitutional metaphors”: metaphorical allusions to traditi...
Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016 (Mit...
Over the past few years, there has been a proliferation of artificial intelligence (AI) strategies, released by governments around the world, that seek to maximise the benefits of AI and minimise potential harms. This article provides a comparative analysis of the European Union (EU) and the United States’ (US) AI strategies and considers (i) the v...
This article reports the findings of AI4People, a year-long initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations – to assess, to deve...
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 theor...
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. Five literature databases were searched (Scopus, Google Scholar, Philpapers, Web of Science, Pub Med), in April 2019,...
Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016 (Mit...
Artificial Intelligence (AI) is already having a major impact on society. As a result, many organizations have launched a wide range of initiatives to establish ethical principles for the adoption of socially beneficial AI. Unfortunately, the sheer volume of proposed principles threatens to overwhelm and confuse. How might this problem of ‘principl...
In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence (AI), entitled ‘New Generation Artificial Intelligence Development Plan’ (新一代人工智能发展规划). This strategy outlined China’s aims to become a world leader in AI by 2030, to monetise AI into a trillion-yuan ($150 billion) industry, and to emerge as t...
This introduction sets out the aims and scope of the Special Issue and provides an overview of each of the research articles and commentaries that follow.
The World Health Organisation declared COVID-19 a global pandemic on 11th March 2020, recognising that the underlying SARS-CoV-2 has caused the greatest global crisis since World War II. In this chapter, we present a framework to evaluate whether and to what extent the use of digital systems that track and/or trace potentially infected individuals...
In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However,...
Artificial intelligence (AI) has the potential to play an important role in addressing the climate emergency, but this potential must be set against the environmental costs of developing AI systems. In this commentary, we assess the carbon footprint of AI training processes and offer 14 policy recommendations to reduce it.
The gig economy is a phenomenon that is rapidly expanding, redefining the nature of work and contributing to a significant change in how contemporary economies are organised. Its expansion is not unproblematic. This article provides a clear and systematic analysis of the main ethical challenges caused by the gig economy. Following a brief overview...
In September 2019, the Council of Europe's Committee of Ministers adopted the terms of reference for the Ad Hoc Committee on Artificial Intelligence (CAHAI). The CAHAI is charged with examining the feasibility and potential elements of a legal framework for the design, development, and deployment of AI systems that accord with Council of Europe sta...
In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence (AI), entitled ‘New Generation Artificial Intelligence Development Plan’ (新一代人工智能发展规划). This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan (ca. 150 billion dollars) industry, and t...
In this perspective we want to highlight the rise of what we call “digital phenotyping” or inferring insights about peopleãs health and behavior from their digital devices and data, and the challenges this introduces. Indeed, the collection, processing, and storage of data comes with significant ethical, security and data governance considerations....
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 limitatio...
In this article we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change and it contribute to combating the climate crisis effectively. However, the dev...
Over the past few years, there has been a proliferation of artificial intelligence (AI) strategies, released by governments around the world, that seek to maximise the benefits of AI and minimise potential harms. This article provides a comparative analysis of the European Union (EU) and the United States’ (US) AI strategies and considers (i) the v...
This annual edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field.
The 2020 edition of the yearbook presents research on the following topics: gov...
The gig economy is a phenomenon that is rapidly expanding, redefining the nature of work and contributing to a significant change in how contemporary economies are organised. Its expansion is not unproblematic. This article provides a clear and systematic analysis of the main ethical challenges caused by the gig economy. Following a brief overview...
Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016 (Mit...
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. Five literature databases were searched to support the following research question: how can the primary ethical risks...
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 theor...
Protect privacy, equality and fairness in digital contact tracing with these key questions. Protect privacy, equality and fairness in digital contact tracing with these key questions.
The World Health Organisation declared COVID-19 a global pandemic on 11th March 2020, recognising that the underlying SARS-CoV-2 has caused the greatest global crisis since World War II. In this article, we present a framework to evaluate whether and to what extent the use of digital systems that track and/or trace potentially infected individuals...
UNSTRUCTURED
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...
Unstructured:
Since 2016, social media companies and news providers have come under pressure to tackle the spread of political mis- and dis-information (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...
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 w...
Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. This presents those responsible for overseeing healthcare with a challenge. Increasingly, policymakers, politicians, clinical entrepreneurs and computer and data scientists argue that a key part of the solution will be 'Artificial Intelligence' (AI)-par...
Digital devices, the data they collect, and the algorithms that process this data have transformed government, business and everyday life. In this chapter I offer a brief introduction to privacy in the context of American jurisprudence. I then identify major risks to personal privacy that occur at three stages of the “lifecycle” of data: infrastruc...
Artificial Intelligence (AI) is already having a major impact on society. As a result, many organizations have launched a wide range of initiatives to establish ethical principles for the adoption of socially beneficial AI. Unfortunately, the sheer volume of proposed principles threatens to overwhelm and confuse. How might this problem of ‘principl...
We seek submissions of roughly 8,000 words in length, on the ethical, political, design-related, policy-based or cultural considerations surrounding AI4SG in theory and practice. While the motivating questions should be of a philosophical nature, we welcome high-quality submissions regardless of philosophical tradition, research methodology, school...
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 address social problems effectively through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially...
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 address social problems effectively through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially...
This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to d...
This article reports the findings of AI4People, a year-long initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations – to assess, to deve...
This article reports the findings of AI4People, a year-long initiative designed to lay the foundations for a "Good AI Society". We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations-to assess, to develo...
That AI will have a major impact on society is no longer in question. Current debate turns instead on how far this impact will be positive or negative, for whom, in which ways, in which places, and on what timescale. In order to frame these questions in a more substantive way, in this prolegomena we introduce what we consider the four core opportun...
The improbable election of Donald Trump relied on myriad factors. Among the most important of these, I argue here, was Trump's deft use of the social media site Twitter, which Trump used as a means to both communicate with his supporters directly, and to reach a far wider audience in the mainstream media. In adopting this hybrid communications stra...
In this article, we examine the growth of the Internet as a research topic across the disciplines and the embedding of the Internet into the very fabric of research. While this is a trend that ‘everyone knows’, prior to this study, no work had quantified the extent to which this common sense knowledge was true or how the embedding actually took pla...
The emergence of big data offers not only a potential boon for social scientific inquiry, but also raises distinct epistemological issues for this new area of research. Drawing on interviews conducted with researchers at the forefront of big data research, we offer insight into questions of causal versus correlational research, the use of inductive...
The increasing abundance of data creates new opportunities for communities of interest and communities of practice. We believe that interactive tabletops will allow users to explore data in familiar places such as living rooms, cafes, and public spaces. We propose informal, mobile possibilities for future generations of flexible and portable tablet...
This paper is the product of a workshop that brought together practitioners, researchers, and data experts to discuss how big data is becoming a resource for positive social change in low- and middle-income countries (LMICs). We include in our definition of big data sources such as social media data, mobile phone use records, digitally mediated tra...
This paper maps the national UK web presence on the basis of an analysis of
the .uk domain from 1996 to 2010. It reviews previous attempts to use web
archives to understand national web domains and describes the dataset. Next, it
presents an analysis of the .uk domain, including the overall number of links
in the archive and changes in the link den...