Category: AI Regulation

Key Strategies for Compliant AI Contracting

In this episode of the global insights video series “Illuminating the EU AI Act,” experts discuss essential considerations for drafting and negotiating AI contracts. They address critical issues such as data integrity, the “black box” problem, and the evolving landscape of AI regulation.

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Europe’s AI Opportunity in the Wake of Trump’s Reversal

Trump’s reversal on AI safety regulations has created a significant opportunity for Europe to establish itself as a leader in AI technology. By prioritizing trust and safety in high-risk industries like healthcare, finance, and energy, Europe can harness its regulatory strengths and specialized expertise to drive innovation.

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Data Security: Essential for Responsible AI Regulation

As AI continues to transform industries, the foundational role of data security in AI regulation becomes increasingly critical. Organizations must implement comprehensive data security measures to navigate the evolving regulatory landscape and ensure responsible AI innovation.

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EU AI Act Enforces Initial Compliance Requirements

The first requirements of the European Union AI Act came into effect on February 2, 2025, banning the use of AI systems involved in prohibited practices and mandating sufficient AI literacy for users and providers. Clifford Chance is actively preparing for the global AI Action Summit in Paris, focusing on delivering trustworthy AI amidst the new regulations.

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Understanding the Colorado AI Act’s Impact on Healthcare Providers

The Colorado AI Act, effective February 1, 2026, aims to mitigate algorithmic discrimination in health care by imposing governance and disclosure requirements on entities using high-risk AI systems. Health care providers must assess their AI utilization and ensure compliance with the Act’s regulations to avoid reinforcing existing biases and disparities in access to care.

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Ethical AI: Understanding the EU AI Act 2025

The EU AI Act represents a transformative framework aimed at regulating artificial intelligence in a way that prioritizes ethical deployment and transparency. By categorizing AI systems based on risk and establishing comprehensive guidelines, the Act seeks to ensure safety and accountability in AI practices globally.

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