Day: November 23, 2025

AI as a New Opinion Gatekeeper: Addressing Hidden Biases

As large language models (LLMs) become increasingly integrated into sectors like healthcare and finance, a new study highlights the potential for subtle biases in AI systems to distort public discourse and democratic processes. The research calls for regulatory reforms to address communication bias, emphasizing the need for a more inclusive AI governance framework that enhances user self-governance and fosters a diverse ecosystem of information sources.

November 23, 2025

AI Accountability: A New Era of Regulation and Compliance

The burgeoning world of Artificial Intelligence (AI) is at a critical juncture as regulatory actions signal a new era of accountability and ethical deployment. Recent events highlight the shift towards increased compliance, transparency, and governance in the rapidly evolving AI landscape.

November 23, 2025

Choosing Effective AI Governance Tools for Safer Adoption

As generative AI continues to evolve, so do the associated risks, making AI governance tools essential for managing these challenges. This initiative, in collaboration with Tokio Marine Group, aims to evaluate and select the most effective AI governance solutions through a structured process involving extensive criteria and datasets.

November 23, 2025

UN Initiatives for Trustworthy AI Governance

The United Nations is working to influence global policy on artificial intelligence by establishing an expert panel to develop standards for “safe, secure and trustworthy” AI. This initiative aims to facilitate international cooperation and discussions on AI governance while addressing concerns related to the technology’s impact on society and the workforce.

November 23, 2025

Data-Driven Governance: Shaping AI Regulation in Singapore

The conversation between Thomas Roehm from SAS and Frankie Phua from United Overseas Bank at the SAS Innovate On Tour in Singapore explores how data-driven regulation can effectively govern rapidly evolving AI technologies. Their discussion highlights the collaborative approach of Singapore’s Project MindForge, which aims to create practical frameworks for AI governance by involving industry practitioners in the regulatory process.

November 23, 2025

Preparing SMEs for EU AI Compliance Challenges

Small and medium-sized enterprises (SMEs) must navigate the complexities of the EU AI Act, which categorizes many AI applications as “high-risk” and imposes strict compliance requirements. To adapt, SMEs should develop strategies that include forming strategic partnerships, implementing compliance-by-design, and leveraging ethical AI adoption to differentiate themselves in the market.

November 23, 2025

Draft Guidance on Reporting Serious Incidents Under the EU AI Act

On September 26, 2025, the European Commission published draft guidance on serious incident reporting requirements for high-risk AI systems under the EU AI Act. Organizations developing or deploying such AI systems must understand these new reporting obligations for compliance planning, as the requirements will take effect in August 2026.

November 23, 2025

US Rejects Global AI Governance at UN General Assembly

The United States rejected calls for international oversight of artificial intelligence at the U.N. General Assembly, emphasizing the importance of national sovereignty over centralized governance. This stance contrasted with global leaders advocating for collaborative frameworks to address the challenges posed by AI.

November 23, 2025

AI’s Role in Transforming Environmental Management

The intersection of Artificial Intelligence (AI) and environmental management is ushering in a new era of sustainability, offering unprecedented precision in resource allocation and pollution monitoring. Groundbreaking initiatives, such as UC Davis’s AI-powered irrigation system and Al Gore’s Climate TRACE satellite project, promise to enhance efficiency and reshape agricultural practices while fostering greater environmental accountability.

November 23, 2025

AI Governance Guidelines for Organizations in Hong Kong

The Office of the Privacy Commissioner for Personal Data in Hong Kong has issued practical guidance for organizations on the adoption of AI, highlighting the need for clear internal policies addressing the risks associated with AI use. Key recommendations include protecting personal data privacy, ensuring lawful and ethical use, and implementing robust data security measures.

November 23, 2025