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How to Enable Sovereign Human-AI Interactions at Work? Concepts of Graspable Testbeds Empowering People to Understand and Competently Use AI-Systems
Get PDFArtificial intelligence (AI) strategies are exhibiting a shift of perspectives, focusing more intensively on a more human-centric view. New conceptualizations of AI literacy (AIL) are being presented, summarizing the competencies human users need to successfully interact with AI-based systems. However, these conceptualizations lack practical relevance. In view of the rapid pace of technological development, this contribution addresses the urgent need to bridge the gap between theoretical concepts of AIL and practical requirements of working environments. It transfers current conceptualizations and new principles of a more human-centered perspective on AI into professional working environments. From a psychological perspective, the project focuses on emotional-motivational, eudaimonic, and social aspects. Methodologically, the project presented develops AI testbeds in virtual reality to realize literally graspable interactions with AI-based technologies in the actual work environment. Overall, the project aims to increase the competencies and the willingness to successfully master the challenges of the digitalized world of work.This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“
TechDo Digest 2x1: March 2024
No full textThe TechDo Digest is the literature overview of the research group "Technology, Power and Domination" at the Weizenbaum Institute. Every two to three months, the group curates a list of relevant new publications within their field, focussing on analyses of structures of power and domination in digitalized societies, changes to democratic processes, regulation of and through technology, and the contestation of digital technologies. This edition features articles that appeared between December 2023 and March 2024.The Weizenbaum Institute is funded by the German Federal Ministry of Education and Research (BMBF
Conditions of Campaigning in Dissonant Public Spheres and Crisis of Democracy
Get PDFPolitical campaigns have always been closely related to the technical conditions of media infrastructures, the social conditions of voters, and the political opportunities within which parties and movements compete. As campaigning has developed through the four ages of political communication (Blumler, Citation2015; Norris, Citation2002), it is now shaped by the affordances of digital platforms and networked communication ecologies in addition to legacy media infrastructures. In the environment of hybrid media systems (Chadwick, Citation2013), campaigning has also become hybrid – a task divided between the use of conventional information subsidies and the dynamics of social media and digital platforms (Azari, Citation2016; Wells et al., Citation2016). What is more, contemporary political communications and voter mobilization are taking place under two significant context conditions: dissonant public spheres (Pfetsch, Citation2018) are coinciding with a profound crisis of liberal democracy (Bennett & Livingston, Citation2018). The communication ecology and the state of democracy have produced a style of campaigning that is no longer geared toward a consensus among the established political elites and parties to engage in civilized speech, to conduct fair competition, and to stay within the limits and norms of democracy. In this essay, I shall discuss some of the features and consequences of these contextual conditions. I shall further argue that the coincidence of disrupted democracy and dissonant public spheres is related to profound structural changes in the party organization, campaigning and political leadership
The Limits of Computation: Joseph Weizenbaum and the ELIZA Chatbot
Get PDFDeveloped in the 1960s by Joseph Weizenbaum, ELIZA is arguably among the most influential computer programs ever written. ELIZA – and especially its most famous persona DOCTOR – continues to inspire programmers, wider discussions about AI, and imitations. This original ancestor of all conversa-tional interfaces and chatbots maintains a special fascination for engineers, historians, and philosophers of artificial intelligence (AI) and computing. With its ability to produce human-like responses using a relatively small amount of computer code, ELIZA has paved the way for a multitude of similar programs. These take the form of conversation agents and other human-computer inter-faces that have inspired entire new fields of study within computer science. This paper examines Weizenbaum’s contribution to AI and considers his more critical writings in the context of contemporary developments in generative AI, such as ChatGPT. Examining how ELIZA has been discussed can provide insights into current debates surrounding machine learning and AI.This publication has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII121, 16DII122, 16DII123, 16DII124, 16DII125, 16DII126, 16DII127, 16DII128 – “Deutsches Internet-Institut”)
Grounding force-directed network layouts with latent space models
Get PDFForce-directed layout algorithms are ubiquitously used tools for network visualization. However, existing algorithms either lack clear interpretation, or they are based on techniques of dimensionality reduction which simply seek to preserve network-immanent topological features, such as geodesic distance. We propose an alternative layout algorithm. The forces of the algorithm are derived from latent space models, which assume that the probability of nodes forming a tie depends on their distance in an unobserved latent space. As opposed to previous approaches, this grounds the algorithm in a plausible interaction mechanism. The forces infer positions which maximise the likelihood of the given network under the latent space model. We implement these forces for unweighted, multi-tie, and weighted networks. We then showcase the algorithm by applying it to Facebook friendship, and Twitter follower and retweet networks; we also explore the possibility of visualizing data traditionally not seen as network data, such as survey data. Comparison to existing layout algorithms reveals that node groups are placed in similar configurations, while said algorithms show a stronger intra-cluster separation of nodes, as well as a tendency to separate clusters more strongly in multi-tie networks, such as Twitter retweet networks.All authors have received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 732942 (www.Odycceus.eu)
Purple Code – With Helena Mihaljević
No full textOur summer break episode is a special one: Helena Mihaljević, mathematician and professor for computer science, talks about her fascination for math, chess and boxing; about her migration history; about training data that are so deeply rooted in our culture and history. Helena elaborates why math is not neutral, how she experiences improvements in the tech industry, and her involvement in an ongoing study of the gender gap in different sciences and regions. Listen to our conversation on how to empower young women to be confident in tech jobs, and how we should have tech companies and technology audits that are contextual and participative, carried out together with advocacy organizations and researchers
Performance of the flood warning system in Germany in July 2021 – insights from affected residents
Get PDFAbstract. In July 2021 intense rainfall caused devastating floods in western Europe and 184 fatalities in the German federal states of North Rhine-Westphalia (NW) and Rhineland-Palatinate (RP), calling into question their flood forecasting, warning and response system (FFWRS). Data from an online survey (n=1315) reveal that 35 % of the respondents from NW and 29 % from RP did not receive any warning. Of those who were warned, 85 % did not expect very severe flooding and 46 % reported a lack of situational knowledge on protective behaviour. Regression analysis reveals that this knowledge is influenced not only by gender and flood experience but also by the content and the source of the warning message. The results are complemented by analyses of media reports and official warnings that show shortcomings in providing adequate recommendations to people at risk. Still, the share of people who did not report any emergency response is low and comparable to other flood events. However, the perceived effectiveness of the protective behaviour was low and mainly compromised by high water levels and the perceived level of surprise about the flood magnitude. Good situational knowledge and a higher number of previously experienced floods were linked to performing more effective loss-reducing action. Dissemination of warnings, clearer communication of the expected flood magnitude and recommendations on adequate responses to a severe flood, particularly with regard to flash and pluvial floods, are seen as major entry points for improving the FFWRS in Germany.The presented work was initially developed within the framework of the research project “Urban resilience against extreme weather events – typologies and transfer of adaptation strategies in small metropolises and medium-sized cities” (Ex-Trass) funded by Germany’s Federal Ministry of Education and Research (BMBF, FKZ 01LR1709A1) in collaboration with the Research Training Group “Natural Hazards and Risks in a Changing World” (NatRiskChange) funded by the Deutsche Forschungsgemeinschaft (DFG; GRK 2043/2). Further analyses were performed in the framework of the project “Governance and communication during the crisis of the flood event in July 2021” (HoWas2021) funded by BMBF (FKZ 13N16230)
Between Individual and Collective Social Effort: Vocabularies of Informed Citizenship in Different Information Environments
Get PDFInformation disorder and digital media affordances challenge informed citizenship as an ideal and in practice. While scholars have attempted to adapt the normative ideal to contemporary changes and challenges by introducing new metaphors and normative benchmarks, this study investigates citizens’ ideals and practices of informed citizenship by deploying the concept of citizenship vocabularies. Drawing on interviews with citizens from different information environments—Germany and Serbia—we offer a conceptual outline of informed citizenship as an individual and collective social effort. Our findings illustrate the role of the information environment in shaping citizenship vocabularies. We advance the idea of informed citizenship as a relational practice, arguing for a social ontological approach to theorizing informed citizenship today
Digital Trace Data Collection for Social Media Effects Research: APIs, Data Donation, and (Screen) Tracking
Get PDFIn social media effects research, the role of specific social media content is understudied, in part attributable to the fact that communication science previously lacked methods to access social media content directly. Digital trace data (DTD) can shed light on textual and audio-visual content of social media use and enable the analysis of content usage on a granular individual level that has been previously unavailable. However, because digital trace data are not specifically designed for research purposes, collection and analysis present several uncertainties. This article is a collaborative effort by scholars to provide an overview of how three methods of digital trace data collection - APIs, data donations, and tracking - can be used in studying the effects of social media content in three important topic areas of communication research: misinformation, algorithmic bias, and well-being. We address the question of how to collect raw social media content data and arrive at meaningful measures with multiple state-of-the-art data collection techniques that can be used to study the effects of social media use on different levels of detail. We conclude with a discussion of best practices for the implementation of each technique, and a comparison of their advantages and disadvantages
Queer Reflections on AI: Uncertain Intelligences
Get PDFThis volume offers a socio-technical exploration of Artificial Intelligence (AI) and the way it reflects and reproduces certain normative representations of gender and sexuality, to ultimately guide more diverse and radical discussions of life with digital technologies. Moving beyond the examination of empirical examples and technical solutions, the book approaches the relationship between queerness and AI from a theoretical perspective that posits queer theory as central to understanding AI differently. The chapters pose questions about the politics and ethics of machine embodiments and data imaginaries on the one hand, and about technical possibilities for a production of social identities characterised by shifting diversity and multiplicity on the other, as they are mediated by and through digital technologies. Transgressing disciplinary boundaries to engage a diversity of conceptual tools, critical approaches, and theoretical traditions, this book will be an important resource for students and researchers of gender and sexuality, new media and digital cultures, cultural theory, art and visual culture, and AI