Category: AI Governance

Building Vina: A Responsible AI for Mental Health Support

In a world where many feel unheard, Vina, a mental health AI agent, aims to provide emotional support by listening to users and addressing their feelings. The development of Vina integrates advanced AI techniques to ensure a responsible and empathetic interaction, bridging the gap between automation and human care in the healthcare industry.

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UN’s New Framework for AI Governance: Bridging the Global Gap

The recent UN General Assembly in New York marked a significant turning point for the regulation of artificial intelligence, establishing two new bodies aimed at fostering inclusive governance of AI technologies. These initiatives seek to reduce regulatory fragmentation and enhance international collaboration, addressing the urgent need for effective AI governance as many countries remain sidelined from key discussions.

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AI Assurance: Understanding ISO/IEC 42001 Standards

Artificial intelligence (AI) is rapidly transforming industries, presenting both opportunities and challenges in regulatory compliance and standard adoption. This blog explores the evolving landscape of AI standards, including ISO/IEC 42001, and highlights key challenges organizations face in ensuring responsible and trustworthy AI development.

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Building Trust in AI Governance

As AI systems become more integrated into critical decision-making processes, they raise complex ethical challenges that necessitate robust governance to ensure fairness and accountability. Organizations must navigate the tension between transparency and the protection of sensitive information while fostering public trust in AI outcomes.

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Empowering Government Innovation with AI Sandboxes

In 2023, California launched a generative artificial intelligence sandbox, allowing state employees to experiment with AI integration in public sector operations. This initiative has been recognized as a 2025 AI 50 award winner, enhancing productivity while ensuring security and compliance.

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Global Trust in Generative AI Rises Amid AI Governance Gaps

A recent study by SAS reveals that trust in generative AI is higher than in traditional AI, with nearly half of respondents expressing complete trust in GenAI. However, only 40% of organizations are investing in measures to ensure the trustworthiness of their AI systems, highlighting a significant gap between perceived and actual trustworthiness.

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Kazakhstan’s Digital Revolution: Embracing AI and Crypto Transformation

Kazakhstan is undergoing a significant transformation by prioritizing artificial intelligence and digitalization as part of its national strategy, aiming to shift away from its reliance on raw materials. President Kassym-Jomart Tokayev has announced the creation of a dedicated ministry and proposed laws to regulate AI, positioning the country as a digital hub in Eurasia while also enhancing its governance and financial systems.

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