"When used effectively and responsibly, artificial intelligence (AI) holds the potential to accelerate progress on sustainable development and close digital divides, but it also poses risks that could further impede progress toward these goals. With the right enabling environment and ecosystem of ac
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tors, AI can enhance efficiency and accelerate development outcomes in sectors such as health, education, agriculture, energy, manufacturing, and delivering public services. The United States aims to ensure that the benefits of AI are shared equitably across the globe." (Executive summary)
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"This little booklet is brimming with AI knowledge and sample prompts that can help with brainstorming ideas, conducting research and preparing for interviews. How does artificial intelligence work? How did it come about, and what impact does it have on the environment? What are the legal parameters
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for using AI tools responsibly? And what should media professionals keep in mind when creating company-specific AI guidelines? Constructive AI Compass answers these questions and many more, providing orientation and inspiration for everyday work." (Back cover)
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"This study delves into the intricate realm of gender and artificial intelligence (AI) through an examination of DALL-E 2-generated images within the Indian context. It takes a methodological approach that focuses on assessing images generated in response to prompts such as ‘a farmer cultivating c
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rops in rural Punjab’ to reveal the dynamics of gender performativity within professions. The generated images were thematically analysed using dress as a phenomenon to visualise Indian man, Indian woman and ambiguous Indian. The study concludes that DALL-E 2 reinforces the binary gender norms, leaving no space for ambiguous Indian in its responses. Although the generated image is centred on female professions, it is frequently employed in ‘male’ surroundings. Hindu religious symbols are largely used among male professionals to denote religious and gender predominance. A brown complexion reflects demographics regardless of gender, while female professionals tend to undergo a process of aesthetic enhancement, suggesting societal beauty standards." (Abstract)
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"[...] this paper presents approximately 30 worldwide examples of successful AI use to promote various aspects of democracy. At the same time, the corresponding challenges that need to be addressed are highlighted. From the examination of international examples, the following theses can be derived:
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AI systems can promote all aspects of democracy in a similar way; the use of AI systems for democracy requires the functioning of democratic structures; focus not only on generative AI: significant advantages can also come from processing and identifying AI systems; AI systems that promote democracy must be particularly comprehensible and transparent; AI systems facilitate participation but do not enable it; AI systems can make large amounts of data usable—for both citizens and the state; AI must be considered in the context of existing digitalization processes; not everything that AI systems can do is desired in a democracy." (Executive summary)
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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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"The findings reveal that 44% of CSOs are currently utilizing AI tools, with generative AI being the most popular, while 96% of non-users are considering future integration. However, 54% have not yet adopted AI. Perceptions of AI’s impact on job security vary, with 48% seeing no threat, 13% percei
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ving a low threat, 26% considering it a moderate threat, 9% viewing it as significant, and 4% regarding it as extreme." (Surevy Overview, page 2)
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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 integration of AI systems has profoundly transformed multiple dimensions of international cultural relations (ICR). Notably, changes in recent years have accentuated imbalances among languages, affected the situation of cultural sectors, and impacted the integrity of information while also prov
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iding a platform for influential tech players with unique imaginaries. This is unfolding in an era characterised by an increasing geopolitical competition and a global search for new AI governance frameworks. Most of these issues will likely further intensify in the coming years, with the proliferation of AI agents with whom users will interact in various contexts. In such a scenario, it has become urgent to outline a strategy for the work in the field of ICR in the AI era. Considering the mutual influence between AI and ICR, institutions engaged in ICR should aim to ensure ethical and responsible technology use and emerge as pivotal contributors to the advancement and regulation of AI." (Back cover)
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"Integrating AI learning objectives into official school curricula is crucial for students globally to engage safely and meaningfully with AI. The UNESCO AI competency framework for students aims to help educators in this integration, outlining 12 competencies across four dimensions: Human-centred m
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indset, Ethics of AI, AI techniques and applications, and AI system design. These competencies span three progression levels: Understand, Apply, and Create. The framework details curricular goals and domain-specific pedagogical methodologies. Grounded in a vision of students as AI co-creators and responsible citizens, the framework emphasizes critical judgement of AI solutions, awareness of citizenship responsibilities in the era of AI, foundational AI knowledge for lifelong learning, and inclusive, sustainable AI design." (Short summary)
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"This study contributes to research on digital inequalities in the context of artificial intelligence by examining user perceptions of deepfake technology. We focus on the stratification of deepfake knowledge and attitudes towards deepfakes as critical elements of technology access. Based on a surve
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y of 1,421 German internet users, we analyse the role of sociodemographic variables, digital skills, and personal innovativeness in predicting deepfake knowledge. We then examine the role of deepfake knowledge in users’ assessments of risks and potentials associated with the technology. Our results point to a generally low level of knowledge and a strong focus on risks in internet users’ perceptions of deepfakes. We find that age, gender and educational attainment predict knowledge about deepfakes. Digital skills, personal innovativeness, and social media use also positively relate to deepfake knowledge. This knowledge, in turn, is shown to play a role in users’ positive attitude towards the technology. While age plays only a minor role, female gender strongly relates to low knowledge and negative attitudes towards deepfakes. We thus find evidence of a sizeable gender divide in user access to the novel deepfake technology." (Abstract)
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"Artificial Intelligence (AI) is woven into a supply chain of capital, commodities and human labour that has been neglected in critical debates. Given the current surge in generative AI – which is estimated to drive up the extraction of natural resources such as minerals, fossil fuels or water –
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it is vital to investigate its entire production line from a critical infrastructural perspective. Drawing on the supply chain capitalism, a concept coined by Anna L. Tsing in 2009, this paper contributes to critical AI studies by investigating the structure of AI supply chains, taking into account the mining, electronics, digital and e-waste industry. This paper illustrates how the supply chain capitalism of AI is precipitating geographical asymmetries connected to contested struggles in México by focusing on a key element of these chains: data centres. In times of climate emergency, this paper calls to reconsider algorithmic harms and resistance by investigating the entire capitalist production line of the AI industry from critical and environmental lens." (Abstract)
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