Category: AI Governance

Congress’s Silent Strike Against AI Regulation

A provision in Congress’s budget bill could preempt all state regulation of AI for the next ten years, effectively removing public recourse against AI-related harm. This measure threatens the progress made by states in establishing safeguards against various AI risks while leaving the public vulnerable.

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AI in Recruitment: Balancing Innovation and Compliance

AI is revolutionizing recruitment by streamlining processes such as resume screening and candidate engagement, but it also raises concerns about bias and compliance with regulations. While the EU has established comprehensive regulations on AI use, the U.S. currently lacks uniform federal laws, leading to a patchwork of state-level regulations.

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Responsible AI: The Key to Trust and Innovation

At SAS Innovate 2025, Reggie Townsend emphasized the importance of ethics and governance in the use of AI within enterprises, stating that responsible innovation begins before coding. He highlighted the need for AI governance to ensure trustworthy systems that can enhance human ingenuity while mitigating risks.

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Neurotechnologies and the EU AI Act: Legal Implications and Challenges

The article discusses the implications of the EU Artificial Intelligence Act on neurotechnologies, particularly in the context of neurorights and the regulation of AI systems. It highlights the definition of an AI system, the prohibitions on subliminal techniques, and the categorization of high-risk applications in areas such as emotion recognition and biometric data usage.

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AI Compliance Across Borders: Strategies for Success

The AI Governance & Strategy Summit will address the challenges organizations face in navigating the evolving landscape of AI regulation, focusing on major frameworks like the EU AI Act and the U.S. AI Bill of Rights. Experts will provide strategies for achieving compliance and managing the legal complexities of AI across different jurisdictions.

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Optimizing Federal AI Governance for Innovation

The post emphasizes the importance of effective AI governance in federal agencies to keep pace with rapidly advancing technology. It advocates for frameworks that are adaptive and risk-adjusted to foster innovation while ensuring responsible use of AI.

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Unlocking AI Excellence for Business Success

An AI Center of Excellence (CoE) is crucial for organizations looking to effectively adopt and optimize artificial intelligence technologies. It serves as an innovation hub that provides governance, resources, and strategic alignment to ensure AI initiatives generate real value.

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AI Regulation: Diverging Paths in Colorado and Utah

In recent developments, Colorado’s legislature rejected amendments to its AI Act, while Utah enacted amendments that provide guidelines for mental health chatbots. These contrasting approaches highlight the varying directions states are taking in regulating AI technology and its implications for consumer protection.

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Strengthening AI Governance in Higher Education

As artificial intelligence (AI) becomes increasingly integrated into higher education, universities must adopt robust governance practices to ensure its responsible use. This involves addressing unique data challenges, prioritizing data privacy, and implementing accountability measures to enhance both compliance and innovation.

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Balancing AI Innovation with Public Safety

Congressman Ted Lieu is committed to balancing AI innovation with safety, advocating for a regulatory framework that fosters technological advancement while ensuring public safety. He emphasizes the need for human oversight in AI applications, particularly in high-stakes areas like national security and healthcare.

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