"Künstliche Intelligenz ist auf Smartphones unser ständiger Begleiter, in sozialen Netzwerken verbreitet sie Desinformation, sie wird zur Überwachung und beim Militär eingesetzt. Welche Regeln braucht es, damit uns KI mehr nützt als schadet? Welche billigen Arbeitskräfte liefern die Daten für
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maschinelles Lernen? Und wie verbessert KI in Bangladesch den Flutschutz?"
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"This book responds to mounting calls to broaden the theorization of digital journalism, addressing critical questions about an emerging yet rapidly expanding area of study, and presenting multiple entry points and approaches that help us understand digital journalism better. Seeking to establish it
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self as a rich resource and a defining reference point for the evolving field, the handbook provides a critical appraisal and a useful overview of novel approaches and concepts, backed by a full breadth of dynamic and diverse interactions drawn from overlapping and critical studies by some of the leading experts on digital journalism. This handbook presents multiple methodological perspectives, reporting strategies, threats and opportunities and valuable insights on future trajectories for digital journalism practice in an era dominated by digital media technology. Split into four parts, it has been uniquely assembled to investigate and critique the full potential of digital journalism capturing broader, cross-cultural perspectives from all four corners of the world." (Publisher description)
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"The rise of Generative AI (GenAI) in knowledge workflows raises questions about its impact on critical thinking skills and practices. We survey 319 knowledge workers to investigate 1) when and how they perceive the enaction of critical thinking when using GenAI, and 2) when and why GenAI affects th
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eir effort to do so. Participants shared 936 first-hand examples of using GenAI in work tasks. Quantitatively, when considering both task- and user-specific factors, a user’s task-specific self-confidence and confidence in GenAI are predictive of whether critical thinking is enacted and the effort of doing so in GenAI-assisted tasks. Specifically, higher confidence in GenAI is associated with less critical thinking, while higher self-confidence is associated with more critical thinking. Qualitatively, GenAI shifts the nature of critical thinking toward information verification, response integration, and task stewardship. Our insights reveal new design challenges and opportunities for developing GenAI tools for knowledge work." (Abstract)
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"Im ersten Teil geben wir einen Überblick über den Einsatz von generativer KI in der politischen Kampagnenkommunikation. Insbesondere die generativen KI-Tools ChatGPT und Midjourney werden zunehmend in politischen Kampagnen eingesetzt, um menschenähnliche Texte beziehungsweise fotorealistische Bi
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lder zu erstellen [...] Der zweite Teil liefert ein umfassendes Bild von den Einstellungen der deutschen Bevölkerung zum Einsatz von generativer KI in politischen Kampagnen. Dafür haben wir eine repräsentative Online-Befragung von knapp 2.000 Teilnehmenden durchgeführt und Menschen zu ihrem KI-Wissen und ihren Einschätzungen zur KI-Nutzung in der Politik befragt [...] Im dritten Teil der Studie untersuchen wir, inwieweit KI-generierte Botschaften in politischen Kampagnen von Bürger*innen erkannt und wahrgenommen werden, aber auch wie sie ihre Einstellungen hinsichtlich des politischen Einsatzes von generativer KI beeinflussen. Dafür haben wir ein Online-Experiment mit ebenfalls rund 2.000 neuen Teilnehmenden durchgeführt." (Einleitung, Seiten 7-8)
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"We are at an inflection point, where 5G and the ecosystem are set to unleash a wave of innovation. In this Ericsson Mobility Report, we explore how an ecosystem partner is leveraging 5G, network slicing and dynamic Quality of Service (QoS) that will take live broadcasting to a new level, by ensurin
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g seamless, high-quality video streaming – even in crowded environments. The recent advancements in 5G standalone (SA) networks, coupled with the progress in 5G-enabled devices, have led to an ecosystem poised to unlock transformative opportunities for connected creativity. Service providers have recognized this potential of 5G and are beginning to monetize it through innovative service offerings that extend beyond merely selling data plans. To fully realize the potential of 5G, it is essential to continue deploying 5G SA and to further build out mid-band sites. 5G SA capabilities serve as a catalyst for driving new business growth opportunities [...] On the forecast side, we see continued mobile network traffic growth with a 20 percent increase year-on-year, meaning it’s expected to more than double in five years. Fixed Wireless Access is experiencing robust growth and is projected to make up over 35 percent of all new fixed broadband connections by 2030, as service providers capitalize on its flexible and rapid deployment capabilities, offering extensive coverage and an exceptional user experience, compared to other technologies. Finally, we explore the impact of increased usage of GenAI on the consumer side, as it moves from text to voice, video and multimodal. We analyze how GenAI could impact mobile data traffic volumes and characteristics going forward. Differentiated connectivity will be key in enabling a high-quality user experience for these and other conversational applications. There will be no personal AI without mobile." (Letter from the publisher, page 2)
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"This report examines political communication and media trust in the age of generative artificial intelligence systems (AI). Firstly, it provides a brief explainer of generative AI tools and techniques, looking separately at systems that generate text and those that generate or manipulate images, vi
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deos and audio. By reference to real-world examples, the paper then surveys the ways in which generative AI systems have recently been used by political actors, distinguishing between three different use-cases: political campaigning, entertainment and disinformation campaigns. Building on this empirical analysis, the paper distils important insights for policymakers, which highlight the need to: refrain from falsely labelling content as AI-generated to avoid overstating the technical capabilities and persuasive power of those spreading disinformation; acknowledge the multimodality of threats posed by generative AI, in particular voice-generation; delimit fair-use cases of generative AI for political campaigning, given these technologies are already widely used for legitimate political communication purposes; raise awareness of how seemingly non-political uses of generative AI can be exploited for politics, in particular the creation of non-consensual intimate content. This is followed by an evaluation of emerging technical and policy solutions, namely the detection and labelling of deepfakes as well as the development of systems to certify content authenticity and provenance. The section concludes with a discussion of the emerging legal landscape, including the European Union’s AI Act." (Executive summary)
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"Large language models (LLMs) and dialogue agents represent a significant shift in artificial intelligence (AI) research, particularly with the recent release of the GPT family of models. ChatGPT’s generative capabilities and versatility across technical and creative domains led to its widespread
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adoption, marking a departure from more limited deployments of previous AI systems. While society grapples with the emerging cultural impacts of this new societal-scale technology, critiques of ChatGPT’s impact within machine learning research communities have coalesced around its performance or other conventional safety evaluations relating to bias, toxicity, and “hallucination.” We argue that these critiques draw heavily on a particular conceptualization of the “human-centered” framework, which tends to cast atomized individuals as the key recipients of technology’s benefits and detriments. In this article, we direct attention to another dimension of LLMs and dialogue agents’ impact: their effects on social groups, institutions, and accompanying norms and practices. By analyzing ChatGPT’s social impact through a social-centered framework, we challenge individualistic approaches in AI development and contribute to ongoing debates around the ethical and responsible deployment of AI systems. We hope this effort will call attention to more comprehensive and longitudinal evaluation tools (e.g., including more ethnographic analyses and participatory approaches) and compel technologists to complement human-centered thinking with social-centered approaches." (Abstract)
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"This report draws on insights from the workshop, along with recent academic and journalistic publishing. It highlights three major issues: How generative AI can make disinformation campaigns faster, more targeted, and more persuasive. How newsrooms’ adoption of AI tools can lead to inaccuracies a
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nd other risks. How AI may threaten the viability of professional journalism, including through automation and content generation that replaces human journalists. In response, journalists are developing investigative practices to expose disinformation campaigns, experimenting with AI tools to make their own work more efficient, and developing ethical guidelines and labour protections to defend professional journalism. Likewise, the news industry, policymakers, and platforms are considering responses that range from workforce training to newsroom innovation to new professional guidelines to AI regulation. Through this report, CSDI hopes to contribute to important public conversations about the impact of new technologies on journalism and our information environments. Ultimately, the responses developed by journalists, policymakers, technologists, and citizens will shape our efforts to understand the world and act as democratic citizens." (Abstract)
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"The goal of this policy brief is to demonstrate how stakeholders can apply the lens of Media and Information Literacy for all to Artificial Intelligence/Generative Artificial Intelligence (AI/GAI) to address its risks and opportunities in the information and digital ecologies. A special focus is on
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the empowerment of youth and highlighting issues of gender and cultural diversity. It also aims to provide recommendations based on Media and Information Literacy (MIL) principles and competences that can lead to concrete policy actions. This policy brief is also useful for civil society organizations and a variety of stakeholders, including media, digital platforms, and governments." (Introduction)
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" Dieses Handbuch bietet auf dem aktuellen Stand der Praxis und Forschung konkrete Impulse für die Schul- und Unterrichtsentwicklung. Dabei gehen die Autor:innen insbesondere auf die Merkmale eines kompetenzorientierten Unterrichts ein und untersuchen, inwiefern sich der Einsatz digitaler Medien sp
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eziell für dieses pädagogische Konzept anbietet. Andere Beiträge befassen sich mit Lernplattformen, Learning Analytics sowie mit Unterrichtskonzepten, die einen hybriden Einsatz digitaler und analoger Lernsettings vorsehen. Das Handbuch schließt mit einem Überblick über digitale Medien im Unterricht, gibt dazu didaktische Empfehlungen und vermittelt Ideen für die Praxis. Das Handbuch hat sich in kurzer Zeit zum Standardwerk entwickelt. Die 3. Auflage wurde vollständig aktualisiert und um neue Kapitel zu Künstlicher Intelligenz, insbesondere ChatGPT, in Schule und Unterricht ergänzt." (Verlagsbeschreibung)
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"A recent innovation in the field of machine learning has been the creation of very large pre-trained models, also referred to as ‘foundation models’, that draw on much larger and broader sets of data than typical deep learning systems and can be applied to a wide variety of tasks. Underpinning
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text-based systems such as OpenAI’s ChatGPT and image generators such as Midjourney, these models have received extraordinary amounts of public attention, in part due to their reliance on prompting as the main technique to direct and apply them. This paper thus uses prompting as an entry point into the critical study of foundation models and their implications. The paper proceeds as follows: In the first section, we introduce foundation models in more detail, outline some of the main critiques, and present our general approach. We then discuss prompting as an algorithmic technique, show how it makes foundation models programmable, and explain how it enables different audiences to use these models as (computational) platforms. In the third section, we link the material properties of the technologies under scrutiny to questions of political economy, discussing, in turn, deep user interactions, reordered cost structures, and centralization and lock-in. We conclude by arguing that foundation models and prompting further strengthen Big Tech’s dominance over the field of computing and, through their broad applicability, many other economic sectors, challenging our capacities for critical appraisal and regulatory response." (Abstract)
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"Language diversity on the African continent is both a cultural strength and a technological challenge. With over 2,000 spoken languages, mainstream artificial intelligence tools have largely ignored the vast majority of African languages, creating a significant barrier to the full participation of
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African communities in the global digital economy. But that’s about to change, thanks to the work of Lelapa AI that recently launched InkubaLM, a groundbreaking AI language model designed for low-resource African languages." (Introduction)
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"The study highlights that generative AI like ChatGPT operates on a limited and non-representative African corpus, making it selective on what is considered civil and uncivil language, thus limiting its effectiveness in the region. However, the study also suggests that in the absence of representati
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ve corpora, generative AI tools like ChatGPT present an opportunity for effective journalism practice in that journalists cannot completely rely on the tools. Practical implications: The study emphasizes the need for human agencies to provide relevant information to the tool, thus contributing to a global database, and to consider diverse data sources when designing AI tools to minimize biases and stereotypes." (Abstract)
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