Centre for Digital Governance
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KI und datengesteuerte Kampagnen: Eine Diskussion der Rolle generativer KI im politischen Wahlkampf
(2023)
In today's world, disasters, both natural and manmade, are becoming increasingly frequent, and new solutions are of a compelling need to provide and disseminate information about these disasters to the public and concerned authorities in an effective and efficient manner. One of the most frequently used ways for information dissemination today is through social media, and when it comes to real-time information, Twitter is often the channel of choice. Thus, this paper discusses how Big Data Analytics (BDA) can take advantage of information streaming from Twitter to generate alerts and provide information in real-time on ongoing disasters. The paper proposes TAGS (Twitter Alert Generation System), a novel solution for collecting and analyzing social media streaming data in realtime and subsequently issue warnings related to ongoing disasters using a combination of Hadoop and Spark frameworks. The paper tests and evaluates the proposed solution using Twitter data from the 2018 earthquake in Palu City, Sulawesi, Indonesia. The proposed architecture was able to issue alert messages on various disaster scenarios and identify critical information that can be utilized for further analysis. Moreover, the performance of the proposed solution is assessed with respect to processing time and throughput that shows reliable system efficiency.
As the research domain of digital government continues to develop as an important body of scholarly research, it is important to understand the core theoretical and philosophical basis of the discipline. Yet, in the domain of digital government, such an understanding does not exist. Therefore, there is currently a need for critical discussion about the concrete role of research philosophy in digital government research. This paper makes a first step in driving such a discussion by presenting arguments and discussion on the relevance of an interpretivist research philosophy for the domain of digital government. This paper provides a comprehensive overview of an interpretivist ontology and epistemology for digital government, discusses relevant theories and methods, and concludes with an overview of what is essential for conducting and carrying out interpretivist digital government research. This paper’s contributions represent one of the first concentrated efforts to lay out initial foundations for the role of interpretivism, and research philosophy more generally, for digital government research.
The governments of today are not able to transform and adapt to changes in the world around them, as demanded by their constituents. The nature of work, value of public goods, and the constant bombardment of crises are making the old bureaucratic structures obsolete.
Agile Government is an emerging theme, that of government-wide reinvention for adaptiveness and responsiveness. It places the accountability, delivery, capture, design and creation of public value at the heart of the government. The concept of agile government is confused with terms like Agile Manifesto, agile governance, agility among others, and because of this, needs some unpacking.
This book is a deep dive into this topic. It offers insights from the theoretical development of the topic of agile government, some lessons from government practices around the world, and ongoing academic and policy research. The project is spearheaded by the Mohammed Bin Rashid School of Government, which is the first teaching and research institution in the Arab world focusing on public policy and governance.
The rapid pace of technological advancement and innovation has put existing governance and regulatory mechanisms to the test. There is a clear need for new and innovative regulatory mechanisms that enable governments to successfully manage the integration of digital technologies into our societies, and to ensure that such integration occurs in a sustainable, beneficial, and just manner. Artificial Intelligence (AI) stands out as one of the most debated of such innovations. What exactly is it, how should it be built and deployed, how can it be used, and how should it be regulated? Yet across the period of this debate, AI is becoming widely used and addressed within existing, evolving, and bespoke regulatory contexts. The present chapter explores the extant governance of AI and, in particular, what is arguably the most successful AI regulatory approach to date, that of the European Union. The chapter explores core definitional concepts, shared understandings, values, and approaches currently in play. It argues that not only are the Union’s regulations locally effective, but, due to the so-called “Brussels effect,” regulatory initiatives within the European Union also have a much broader global impact. As such, they warrant close consideration.
Many governments have problems with developing digital government services in an effective and efficient manner. One proposed solution to improve governmental digital service development is for governments to utilize agile development methods. However, there is currently a lack of understanding on two important and related topics. First, whether or not agile development might help to overcome common failure reasons of digital government projects. Second, what the challenges and success factors of agile digital government service development are. This paper addresses both of these gaps. By gathering insights from six cases where agile methods were used in the development of new digital services, it identifies five core categories of challenges and success factors encountered when utilizing agile development methods for governmental digital service development: organizational, methodological, end-user-related, technological, and regulatory. Furthermore, based on these findings, it makes initial recommendations on when and how to best use agile methods for digital government service development.
Robot Nannies Will Not Love
(2021)
How artificial intelligence and robotics are transforming the future of love and desire: a philosophical thriller and essays.A chance encounter between two women and a road trip into the future: It's Christmas Eve, and Scarlett, banker-turned-technologist, is leaving a secret underground lab to catch the last flight that will get her home in time to open presents with her three-year-old son. She offers a lift to a young woman in distress, who shares her intimate life story as they drive to the airport. These revelations will have devastating consequences for both of them. The Love Makers is a philosophical thriller about female friendship, class, motherhood, women, and work--and how artificial intelligence and robotics are transforming the future of love and desire. Aifric Campbell combines her novel with essays from leading scientists and commentators who examine what's at stake in our human-machine relationships. What is our future as friends, parents, lovers? Will advances in intelligent machines reverse decades of progress for women? From robot nannies to generative art and our ancient dreams of intelligent machines, The Love Makers blends storytelling with science communication to investigate the challenges and opportunities of emergent technologies and how we want to live. ContributorsRonny Bogani, Joanna J. Bryson, Julie Carpenter, Stephen Cave, Anita Chandran, Peter R. N. Childs, Kate Devlin, Kanta Dihal, Mary Flanagan, Margaret Rhee, Amanda Sharkey, Roberto Trotta, E. R. Truitt, and Richard Watson
How the Far-Right Polarises Twitter: ‘Hashjacking’ as a Disinformation Strategy in Times of COVID-19
(2022)
Twitter influences political debates. Phenomena like fake news and hate speech show that political discourses on social platforms can become strongly polarised by algorithmic enforcement of selective perception. Some political actors actively employ strategies to facilitate polarisation on Twitter, as past contributions show, via strategies of ‘hashjacking’(The use of someone else’s hashtag in order to promote one’s own social media agenda.). For the example of COVID-19 related hashtags and their retweet networks, we examine the case of partisan accounts of the German far-right party Alternative für Deutschland (AfD) and their potential use of ‘hashjacking’ in May 2020. Our findings indicate that polarisation of political party hashtags has not changed significantly in the last two years. We see that right-wing partisans are actively and effectively polarising the discourse by ‘hashjacking’ COVID-19 related hashtags, like #CoronaVirusDE or #FlattenTheCurve. This polarisation strategy is dominated by the activity of a limited set of heavy users. The results underline the necessity to understand the dynamics of discourse polarisation, as an active political communication strategy of the far-right, by only a handful of very active accounts.