OpenAI has published research on defining and evaluating political bias in large language models, aiming to enhance fairness and neutrality in AI outputs.
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- OpenAI's latest research focuses on identifying and measuring political bias in large language models (LLMs).
- The study aims to improve the neutrality of AI-generated content, ensuring diverse perspectives are fairly represented.
- For organizations utilizing AI, this research underscores the importance of monitoring and mitigating bias to maintain credibility and trust.
How is your business ensuring AI outputs remain unbiased and inclusive?
Governor Greg Abbott announced that all new Texas data-centre projects must be audited by the Public Utility Commission and grid operator ERCOT - a sharp turn for a state whose loose regulation and cheap power made it second only to Virginia for data centres. The trigger is a staggering queue: ERCOT's interconnection requests doubled from 233GW in January to 474GW, about 90% data centres, more than five times the grid's all-time peak demand. Audits will demand power and water use, noise mitigation, light controls, tax-incentive use, and ownership details - after a voluntary survey that most operators simply ignored.