Pillar Security has developed an AI security framework called the Secure AI Lifecycle Framework (SAIL), aimed at enhancing the industry’s approach to AI security through strategy and governance. The framework outlines over 70 risks and provides mitigations to support secure AI adoption across various sectors.
Tokio Marine Holdings has established a formal AI governance framework to guide its global operations in developing and using artificial intelligence. The policy emphasizes transparency, human oversight, and the elimination of bias while aligning with regulatory expectations in Japan, the U.S., and Europe.
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.
A new bill in California aims to regulate “companion” chatbots, requiring companies to alert users that they are interacting with AI and to avoid addictive features. The legislation follows concerns about the harmful effects of these chatbots, particularly on vulnerable users like children.
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.
The article discusses the integration of artificial intelligence (AI) in oncology, highlighting its potential applications throughout a patient’s cancer journey, from clinical trial matching to treatment planning. It emphasizes the need for responsible AI governance frameworks tailored specifically to oncology to ensure quality assurance and address the unique challenges in the field.
The article discusses the integration of artificial intelligence (AI) in oncology, highlighting its potential applications throughout a patient’s cancer journey, from clinical trial matching to treatment planning. It emphasizes the need for responsible AI governance frameworks tailored specifically to oncology to ensure quality assurance and address the unique challenges in the field.
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.
Generative AI is revolutionizing industries, but it comes with a significant environmental cost due to carbon emissions from extensive compute resources. As the demand for large-scale models grows, developers face the urgent challenge of minimizing this environmental impact while creating powerful AI systems.
On June 22, 2025, Texas enacted the Responsible Artificial Intelligence Governance Act, making it the second state to implement comprehensive AI legislation. The act establishes a framework for the development and oversight of AI systems, aiming to balance innovation with consumer protection and ethical considerations.
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