Day: May 6, 2025

Implementing Effective AI Governance in Clinical Research

Clinical investigators must implement a robust AI governance system to mitigate risks associated with the use of AI tools in clinical trials. This includes understanding the AI tool’s capabilities, developing specific policies, training staff, and ensuring ethical and transparent use to protect patient data and maintain trust.

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Colorado AI Act Amendments: Key Changes and Implications

The Colorado legislature is considering significant amendments to the nation’s first algorithmic discrimination law, introduced by Senator Robert Rodriguez and Representative Brianna Titone. These amendments aim to redefine algorithmic discrimination and narrow the definition of consequential decisions within the Colorado AI Act.

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Transforming Clinical Trials Through AI Regulation

Regulatory changes in the EU are reshaping the clinical trial landscape, emphasizing the need for greater data transparency and compliance. Biopharma companies that leverage AI and adapt to these changes will be better positioned to drive innovation and improve patient outcomes in clinical research.

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Leveraging AI for Effective Compliance Strategies

The article discusses how artificial intelligence is transforming regulatory compliance across various industries by enhancing efficiency and consistency in data processing. It emphasizes the importance of using AI as a guiding tool for human decision-making rather than a complete replacement for professional judgment.

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First Step in Combating AI-Driven Deepfake Abuse

On April 28, the House of Representatives passed the Take It Down Act, the first major law addressing AI-induced harm by criminalizing non-consensual deepfake porn. The bipartisan bill requires platforms to remove such content within 48 hours of being notified, aiming to protect victims from further trauma.

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