Framework evaluation demonstrates pathways to scale trustworthy generative AI across climate services, highlighting best practices for maintaining data credibility and legitimacy.
Generative AI can help scale climate services to meet growing demand. This approach is illustrated here with two prototype AI systems designed to enhance access to climate data, support decision-making, and improve efficiency. Key concerns are identified around responsibility, quality, and trustworthiness of AI outputs. Emerging best practices in system development are linked to core principles of salience, credibility, and legitimacy, to ensure alignment with user needs and societal values.
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Williams et al. (2026) studied this question.
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