Category: AI Governance

Dubai Culture Triumphs with Innovative AI Governance Framework

Dubai Culture & Arts Authority has won the Best AI Governance Framework of 2025 at the GovTech Innovation Forum & Awards for its AI-driven initiatives that enhance cultural accessibility. The recognition highlights the Authority’s commitment to integrating AI in its activities while complying with national governance standards.

Read More »

Federal Action on AI Regulation Gains Momentum After State Ban Fails

The failure of a proposal to block state-level regulation of artificial intelligence has sparked renewed calls for federal action, as advocates urge Congress to establish national AI rules for privacy, safety, and intellectual property rights. With more than 20 states already enacting their own AI regulations, there is a growing public demand for a unified federal standard to address concerns about competition and oversight.

Read More »

Federal Action on AI Regulation Gains Momentum After State Ban Fails

The failure of a proposal to block state-level regulation of artificial intelligence has sparked renewed calls for federal action, as advocates urge Congress to establish national AI rules for privacy, safety, and intellectual property rights. With more than 20 states already enacting their own AI regulations, there is a growing public demand for a unified federal standard to address concerns about competition and oversight.

Read More »

Transforming AI Regulation: The Philippine Approach to Governance

Representative Brian Poe has introduced the Philippine Artificial Intelligence Governance Act, aiming to regulate AI usage across various sectors to ensure safety and effectiveness. The legislation seeks to establish the Artificial Intelligence Development Authority (AIDA) to develop a National AI Strategy and implement guidelines for AI technologies.

Read More »

AI Governance: Shaping California’s Future

The California Council on Science & Technology is hosting the first public dialogue on the findings of the new AI Frontiers Report, which focuses on AI governance and its implications for national and international standards. This event will feature speakers from prominent institutions and aims to address questions about California’s future in AI development.

Read More »

AI for Good: Uniting Voices for a Sustainable Future

The AI for Good Global Summit 2025 convenes leaders from various sectors to explore how artificial intelligence can support Sustainable Development Goals while mitigating risks like inequality and disinformation. Keynote speaker Doreen Bogdan-Martin emphasized the need for a whole-of-society approach to upskilling in AI and warned against deploying these technologies without adequate understanding and oversight.

Read More »

AI Governance: Embracing Accountability for Responsible Innovation

In a recent discussion on AI governance, the importance of responsibility was emphasized, highlighting that users must accept accountability for AI-related outcomes. The conversation also addressed the unique challenges of AI governance, including the need for ethical standards and structured oversight to mitigate risks associated with its rapid adoption.

Read More »

Building Trustworthy AI: Beyond Ethics to Performance

Responsible AI goes beyond ethics; it requires control, clarity, and performance to ensure that AI systems are not only ethical but also usable. Key design principles such as transparency, accountability, privacy, safety, and fairness must be embedded throughout the AI lifecycle to achieve real value and build trust.

Read More »

AI Law Delays Spark Concerns in South Korea

South Korea has missed its self-imposed deadline to disclose draft versions of enforcement decrees for its AI Basic Act, which was passed in late December 2024. The delay has caused growing concerns among companies about regulatory clarity as they prepare for the law’s implementation in January 2026.

Read More »

Bridging the Gap: Essential AI Governance for National Strategies

The article discusses the importance of AI governance as a critical component in national AI strategies, emphasizing that social systems are more influential than technical capabilities in determining AI’s real-world impact. It argues that without effective governance to facilitate data access and integration, significant investments in AI infrastructure may not yield substantial public benefits.

Read More »