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A commentary published in the New Hampshire Bulletin offers a perspective on AI governance drawn from experience in a writing classroom setting.
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Three distinct approaches to governing artificial intelligence are competing for influence on the global stage, reflecting deep differences among nations in how they weigh innovation, rights, and state control.
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PwC has published guidance outlining six actions organizations can take to build trust through AI governance and assurance practices.
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ACAMS has published guidance on how organizations can write an AI governance policy, addressing the growing need for structured frameworks around AI use in regulated industries.
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ServiceNow and NVIDIA announced a joint effort to bring AI governance controls down to the hardware level, combining ServiceNow's policy enforcement tools with NVIDIA's silicon infrastructure to manage enterprise AI agents.
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Fleet has released new AI governance features aimed at enterprise device management. The capabilities are designed to give organizations more oversight and control over AI activity across their device fleets.
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ServiceNow has announced new AI governance tools called AI Passport alongside expanded control features aimed at helping enterprises manage and oversee their AI systems.
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The United Nations has appointed co-chairs to lead a Global Dialogue on AI Governance planned for 2027. The process appears to be an early organizational step toward a formal international forum on how AI should be governed across countries.
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EC-Council has released version 2.0 of its AI Data Governance (ADG) certification, positioning it as a shift from broad policy frameworks toward measurable, demonstrable AI governance practices.
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The IEEE Computer Society has published material addressing operational AI governance and risk management, focusing on how organizations can put AI oversight into practice rather than keeping it at the policy level.
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A piece from China's state-run Global Times examines whether cooperation between China and the United States could help build a so-called third path for AI governance, distinct from either country's current approach.
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A report in Applied Clinical Trials Online identifies gaps in how the clinical development industry governs its use of AI, suggesting that existing oversight frameworks are not keeping pace with how the technology is being deployed in drug and trial development.
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WELL Health has appointed Samara Starkman as Chief Privacy Officer and Vice President of Legal & Regulatory, adding dedicated leadership over privacy and AI governance. The move signals a structural commitment to managing regulatory and data responsibilities at the executive level.
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A piece in The Paypers argues that applying a ledger-based approach to AI systems in payments could make AI-generated outputs auditable and verifiable, addressing accountability gaps in how AI decisions are recorded and reviewed.
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The UK's Financial Conduct Authority has found that financial firms are deploying AI faster than they are building governance structures to oversee it. The regulator's findings point to a gap between how quickly the industry is adopting AI tools and how well it can account for their use.
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The Tony Blair Institute for Global Change has released a practical guide on AI governance aimed specifically at governments and institutions in Latin America and the Caribbean.
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IBM's Think conference addressed several emerging technology themes, including token-based AI systems, AI governance frameworks, and quantum computing developments.
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An interview with Blue Planet's Kailem Anderson addresses why AI governance is becoming a pressing challenge for the telecommunications industry. The piece frames AI oversight as a structural concern for telcos as they expand automated and AI-driven network operations.
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Portal26 has launched an AI governance platform aimed at managed service providers, expanding its tools for organizations that help businesses manage and oversee AI systems.
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At the 81st UN General Assembly, AI governance emerged as a significant agenda item, with discussions centering on safety, security, and the divide between wealthier and developing nations over how artificial intelligence should be regulated globally.
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A global AI governance initiative has proposed a framework aimed at distributing the economic and social benefits of AI more equitably across countries and communities. Details of the specific mechanisms remain limited, but the effort signals growing international focus on who captures value from AI development.
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Major institutional investors, including California's public pension fund CalPERS, are increasing their scrutiny of how companies govern their use of artificial intelligence. The shift signals that AI oversight is becoming a formal concern for large shareholders, not just regulators.
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A Northeastern University researcher is advocating for AI governance to shift beyond abstract principles toward concrete, enforceable practice. The argument centers on closing the gap between what organizations say about responsible AI and what they actually do.
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A proposed AI governance framework has been put forward offering risk-mitigation recommendations specifically tailored to health plans, addressing how insurers and managed care organizations should oversee AI systems in their operations.
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