Category: AI Regulation

AI in the Courts: Insights from 500 Cases

Courts around the world are already regulating artificial intelligence (AI) through various disputes involving automated decisions and data processing. The AI on Trial project highlights 500 cases that reveal how judicial systems are shaping the legal boundaries and governance of AI technologies.

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Leading AI Governance: The Legal Imperative for Safe Innovation

In a recent interview, Brooke Johnson, Chief Legal Counsel at Ivanti, emphasizes the critical role of legal teams in AI governance, advocating for cross-functional collaboration to ensure safe and ethical AI use. She warns that unmanaged AI poses significant risks related to data privacy and bias, making proactive governance essential for organizations.

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AI Regulations: Balancing Innovation and Safety

The recent passage of the One Big Beautiful Bill Act by the House of Representatives includes a provision that would prevent states from regulating artificial intelligence for ten years. This has raised concerns among state lawmakers, who fear it could hinder their ability to protect citizens from potential issues related to AI.

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Trump Administration Shifts Focus to AI Standards and Innovation

The Trump administration has rebranded the AI Safety Institute to the Center for AI Standards and Innovation, signaling a shift towards rapid technology development. Commerce Secretary Howard Lutnick emphasized that the center will continue to evaluate AI capabilities and vulnerabilities while promoting U.S. innovation.

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EU AI Act: Critical Milestones and Compliance Insights

The European Union Artificial Intelligence Act (EU AI Act) is establishing a comprehensive regulatory framework for AI that will significantly impact both European and global markets. It introduces a phased implementation approach, with key obligations focusing on AI literacy and the prohibition of high-risk AI practices.

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AI Compliance in HR: Adapting to the EU AI Act

The EU Artificial Intelligence Act requires human resource departments to reevaluate their AI applications to ensure compliance, especially regarding high-risk uses like emotional recognition systems. Transparency in data collection and usage is essential for building trust with employees and meeting legal obligations.

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Unlocking GenAI: The Governance Imperative

Many organizations are struggling to move Generative AI projects from pilot mode to production due to underlying data issues. To successfully scale GenAI, companies must prioritize data governance and ensure that their data is reliable, complete, and compliant with regulations.

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Rethinking the Need for AI Regulation

The post discusses the ongoing debate about the necessity of regulating artificial intelligence (AI), questioning whether such regulation is effective or even needed. It suggests that rather than focusing on the regulation of AI itself, attention should be directed toward the outcomes and existing laws that already address potential issues.

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