The enterprise AI buying landscape is transitioning from a tech-first approach to a compliance-first strategy due to new regulations like the EU AI Act, which imposes significant fines for non-compliance. As a result, companies are prioritizing security, cost, and legal assurances over mere accuracy when selecting AI solutions.
California has enacted SB 53, the Frontier AI Transparency Act, requiring large AI developers to disclose their integration of national and international standards on their websites. This new law aims to enhance AI safety and accountability while ensuring public transparency through a mechanism for addressing inquiries.
Agentic AI is revolutionizing cybersecurity by autonomously analyzing threats and automating responses, significantly enhancing efficiency in the face of rising cyber threats. However, the autonomy of these systems introduces new vulnerabilities, necessitating robust governance to balance their benefits and risks.
As artificial intelligence transforms HR operations, effective governance is essential to mitigate risks like bias and privacy breaches. By adopting frameworks such as the NIST AI Risk Management Framework, HR departments can ensure fairness and compliance while leveraging AI’s benefits.
On September 26, the White House invited the public to submit comments on federal laws and regulations that hinder the development of artificial intelligence technologies. This request for information is part of a broader initiative to reduce regulatory burdens and promote AI innovation in the United States.
AI literacy is essential for effective AI governance, enhancing trust and engagement while promoting innovation. Businesses must ensure their staff are adequately trained to leverage AI tools, comply with regulations, and drive cultural change within their organizations.
California Governor Gavin Newsom signed the Transparency in Frontier Artificial Intelligence Act, also known as SB 53, into law, establishing new regulations for top AI companies that mandate transparency and reporting of AI-related safety incidents. This groundbreaking legislation is the first of its kind in the U.S. and aims to balance innovation in the AI industry with necessary safety measures.
Effective data management and governance are crucial for the success of AI initiatives, as highlighted by experts in a series of webinars by InfoVerge. They emphasize the importance of establishing a robust data foundation and governance framework to navigate the complexities of scaling AI in organizations.
U.S. officials rejected the establishment of a global AI governance framework at the United Nations General Assembly, despite broad support from many nations, including China. Michael Kratsios of the U.S. Office of Science and Technology Policy emphasized that Washington opposes centralized control over AI, advocating instead for responsible diffusion and national sovereignty.
As companies increasingly adopt agentic AI systems for autonomous decision-making, they face the emerging challenge of agentic AI sprawl, which can lead to security vulnerabilities and operational inefficiencies. Experts urge businesses to implement robust governance frameworks to navigate these risks effectively and avoid the pitfalls seen in past technology deployments.