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OECD AI Policy Observatory
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How to govern AI in agriculture responsibly: risks, tools and solutions

The integration of data and artificial intelligence (AI) into agriculture and food systems has been rapidly increasing, with innovations like soil sensors, satellite imagery, and AI-powered crop management tools reshaping traditional farming practices. This transformation includes advancements such as disease monitoring and prediction, supply chain traceability systems, and weather forecasting models, aiming to enhance efficiency and sustainability in the agriculture sector.

OECD AI Policy Observatory · OECD 2025-07-16
The HAIP Reporting Framework: Feedback on a quiet revolution in AI transparency

The post discusses the HAIP Reporting Framework's impact on AI transparency, highlighting its promising and complex nature with implications for global AI governance. The post is featured on OECD.AI's website, emphasizing the importance of this framework in shaping the future of AI transparency and governance.

OECD AI Policy Observatory · OECD 2025-07-11
Introducing the OECD.AI Policy Navigator

The Policy Navigator simplifies the process of tracking and submitting AI policy information, while dramatically increasing coverage and usability. The post Introducing the OECD.AI Policy Navigator ap…

OECD AI Policy Observatory · OECD 2025-07-10
Strengthening global AI Safety: A perspective on the Singapore Consensus

The article discusses the importance of ensuring that advancements in artificial intelligence (AI) technology prioritize safety, reliability, and alignment with human values to address the global urgency in AI safety research. Singapore hosted the 2025 Singapore Consensus, emphasizing the need for global cooperation in strengthening AI safety.

OECD AI Policy Observatory · OECD 2025-06-05
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