Centre for Digital Governance
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Artificial intelligence (AI) is a technical term referring to artifacts used to detect contexts or to effect actions in response to detected contexts. Our capacity to build such artifacts has been increasing, and with it the impact they have on our society. This article first documents the social and economic changes brought about by our use of AI, particularly but not exclusively focusing on the decade since the 2007 advent of smartphones, which contribute substantially to “big data” and therefore the efficacy of machine learning. It then projects from this political, economic, and personal challenges confronting humanity in the near future, including policy recommendations. Overall, AI is not as unusual a technology as expected, but this very lack of expected form may have exposed us to a significantly increased urgency concerning familiar challenges. In particular, the identity and autonomy of both individuals and nations is challenged by the increased accessibility of knowledge.
The spread of false information and hate speech has increased with the rise of social media. This paper critically examines this phenomenon and the reactions of governments and major corporations in Europe. Policymakers have turned towards national regulation as a means to manage false information and hate speech. This article looks into the legislative frameworks on the issue in Germany, France, the UK, the Czech Republic, and Italy and compares them. In response to such regulatory pressure, tech companies have been changing aspects of their platforms to deal with this trend, for example through content moderation. We propose tentative alternatives to this current approach towards reinforcing boundaries for freedom of expression.
Designing authoritarian deliberation: how social media platforms influence political talk in China
(2019)
Discussion is often celebrated as a critical element of public opinion and political participation. Recently, scholars have suggested that the design and features of specific online platforms shape what is politically expressed online and how. Building on these findings and drawing on 112 semi-structured qualitative interviews with information technology experts and internet users, we explain how major Chinese social media platforms differ in structure and motivation. Drawing upon a nationwide representative survey and an online experiment, we find that platforms aiming to make users a source of information through public, information-centred communication, such as the Twitter-like Weibo, are more conducive to political expression; while platforms built to optimize building social connections through private, user-centred communication, such as WhatsApp and Facebook-like WeChat, tend to inhibit political expression. These technological design effects are stronger when users believe the authoritarian state tolerates discussion, but less important when political talk is sensitive. The findings contribute to the debate on the political consequences of the internet by specifying technological and political conditions.
Der föderale Staatsaufbau und die konsensorientierten Institutionen des deutschen Regierungssystems schaffen einen hohen Koordinationsbedarf und erschweren die Integration neuer Technologien und Politiken in bestehende Strukturen. Dies zeigt sich auch beim E-Government, also der Digitalisierung der Verwaltung. Besonders die föderale Organisation von Verwaltungszuständigkeiten verkompliziert die Koordination beim E-Government, während beispielsweise im Gesundheitsbereich die konsensorientierten Institutionen die Einführung technischer Innovationen verlangsamen. Gewisse Fortschritte Deutschlands sind im internationalen Vergleich gleichwohl zu erkennen.
While the Internet was created without much governmental oversight, states have gradually drawn territorial borders via Internet governance. China stands out as a promoter of such a territorial‐based approach. China's separate Web infrastructure shapes data when information technologies capture traces of human behavior. As a result, area expertise can contribute to the substantive, methodological, and ethical debates surrounding big data. This article discusses how a number of critical questions that have been raised about big data more generally apply to the Chinese context: How does big data change our understanding of China? What are the limitations of big data from China? What is the context in which big data is generated in China? Who has access to big data and who knows the tools? How can big data from China be used in an ethical way? These questions are intended to spark conversations about best practices for collaboration between data scientists and China experts.