Category: AI Governance

AI Investment Surge in APAC: Governance Challenges Ahead

AI spending in the Asia-Pacific region has surged, with a notable increase of 3.3 times compared to previous years, yet many CIOs still struggle with governance and compliance policies. The Philippines is focusing on innovation and digital infrastructure to enhance AI integration across various sectors, reflecting a growing commitment to becoming a key player in the regional AI ecosystem.

Read More »

Essential Strategies for Effective Model Management in AI

As machine learning becomes integral to strategic decision-making, effective model management is essential for ensuring reliability, accountability, and regulatory compliance in AI-driven enterprises. It encompasses practices such as version control, governance, and performance monitoring, making it a critical necessity for long-term success.

Read More »

EU AI Act: Transforming Business Responsibility in the Age of AI

The EU AI Act is the world’s first comprehensive AI legislation, establishing a risk-based framework that categorizes AI systems into four risk levels, each with specific compliance requirements. This regulation not only applies to businesses operating within the EU but also to those whose AI outputs impact EU citizens, emphasizing the global reach of AI governance.

Read More »

New York Senate Advances AI Safety with RAISE Act

The New York State Senate has passed the RAISE Act, a significant AI safety bill aimed at imposing critical safeguards on the development and deployment of artificial intelligence technologies. Spearheaded by Senator Andrew Gounardes, the legislation seeks to ensure that developers implement safety protocols to protect society as AI continues to permeate various sectors.

Read More »

Mitigating the Risks of Generative AI

Generative artificial intelligence (Gen AI) is transforming the business landscape, offering significant opportunities for growth while also presenting unique risks that organizations must manage. To deploy Gen AI effectively, businesses need to address challenges in areas such as data security, human interpretation, and technology integration.

Read More »

New York’s Groundbreaking AI Safety Legislation

New York has become the first state to pass comprehensive legislation regulating AI safety through the RAISE Act, which targets powerful AI models from major companies. This groundbreaking bill mandates transparency and safety assessments from developers, aiming to balance innovation with necessary safeguards.

Read More »

Measuring Success in AI Governance

The success of AI governance relies on embedding ethical principles into strategies and decision-making processes, rather than merely documenting them. It is crucial to measure human behaviors related to AI use to ensure accountability and foster a culture of responsible AI implementation.

Read More »

Canada’s Role in Shaping Global AI Governance at the G7

Canadian Prime Minister Mark Carney has prioritized artificial intelligence governance as the G7 summit approaches, emphasizing the need for international cooperation amidst a competitive global landscape. The summit presents a crucial opportunity for Canada to advocate for enhanced accountability and safety measures in AI development through the Hiroshima AI Process.

Read More »

Kazakhstan’s Bold Step Towards Human-Centric AI Regulation

Kazakhstan’s draft ‘Law on Artificial Intelligence’ aims to regulate AI with a human-centric approach, reflecting global trends while prioritizing national values. The legislation, developed through broad consultation, seeks to ensure fairness, accountability, and the safeguarding of public interests in the use of AI across various sectors.

Read More »