Category: News

Shaping AI Governance in Latin America: Challenges and Opportunities

Noel Alonso Murray, Executive Director of Fundación Directorio Legislativo, participated in a regional meeting in Panama City focused on building consensus for people-centered artificial intelligence governance, highlighting regulatory challenges and opportunities for AI development in Latin America and the Caribbean.

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Zest AI Champions Ethical Alternative Data Use in Credit Underwriting

Zest AI highlights the importance of compliance and fair lending considerations when using alternative data for credit underwriting, especially for applicants with limited credit history. The company asserts its leadership in responsible AI and alternative data, aiming for a competitive advantage as regulatory scrutiny of algorithmic lending increases.

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US Pushes for Global Adoption of AI Cybersecurity Standards

The U.S. government is advocating for the global adoption of its artificial intelligence cybersecurity standards through diplomatic efforts. This is part of a broader national cybersecurity strategy emphasizing rapid deployment of AI-enabled tools to enhance security against cyber threats.

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Licensing AI in Healthcare: A New Approach to Accountability

Generative AI is increasingly assisting clinicians in various healthcare tasks, but its regulatory approval lags due to the complexity of these technologies. Eric Bressman and colleagues propose a federal licensing framework for AI systems, analogous to that for human clinicians, to ensure accountability and ongoing oversight.

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AI Regulation: A Necessity for Australia’s Future

The rapid growth of Artificial Intelligence has outpaced regulation, prompting discussions about whether Australia should adopt similar laws to South Korea. Experts underscore the need to balance innovation with safeguards to address public concerns about AI’s societal impact.

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Zero-Trust Data Governance in the Age of AI

Gartner predicts that by 2028, half of organizations will adopt a zero-trust approach to data governance to address the rising volume of unverified AI-generated data, reshaping enterprise management of data reliability and compliance risks.

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