AI

When Less Is More: What the EU’s Latest Moves Mean for the Future of Data Governance

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EU's retreat from AI-specific laws signals a laissez-faire approach to innovation, relying on established regulations like GDPR and DORA for data protection. This strategy, while criticized for potential consumer risks, embraces adaptable, principle-based governance over rigid legislation. Compliance challenges arise for global organizations, especially in contrasting U.S. regulations. Adopting stringent standards like GDPR as a baseline, ensuring data localization, and maintaining flexible compliance frameworks can enhance operational efficiency and consumer trust in the evolving regulatory landscape.

https://www.fastcompany.com/91308356/when-less-is-more-what-the-eus-latest-moves-mean-for-the-future-of-data-governance

New Survey to Gather Practices for the AI Literacy Living Repository

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EU's AI Office launched a survey to collect AI literacy practices for a living repository, currently featuring over 20 examples. This initiative, aiming to enhance AI literacy and support the AI Act's Article 4, invites organizations to share experiences. Contributions will be verified for transparency before inclusion. The repository serves to foster collaboration and learning among AI providers.

https://digital-strategy.ec.europa.eu/en/news/new-survey-gather-practices-ai-literacy-living-repository

Key Part of EU AI Law Under Attack From Hi-tech Industry

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EU AI law faces backlash: Industry pressures lead to voluntary systemic risk assessments in the Code of Best Practices. Reporters Sans Frontières exits talks, citing industry influence and lack of protections for information rights. EU Parliament members express concerns over weakened regulations, risking fundamental rights and democracy.

https://www.eunews.it/en/2025/04/02/key-part-of-eu-ai-law-under-attack-from-hi-tech-industry/

CIO-CFO Tensions Jeopardize AI Success, Study Finds

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CIO-CFO relationships are crucial for AI success, but tensions pose risks. A KPMG survey reveals conflicting views on leadership roles and budgets affecting collaboration. While many executives recognize AI's importance, priorities differ, with CFOs often deeming innovation budgets excessive. Strengthening ties through clear roles, leveraging strengths, and joint ownership is vital for effective AI integration. Organizations must foster collaboration to fully harness AI's potential.

https://www.forbes.com/sites/noahbarsky/2025/04/01/we-or-me-choices-key-ai-rollouts-executive-survey-finds/

First Steps to Compliance: Meeting Early Obligations Under the EU AI Act

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EU AI Act compliance begins February 2025, with early requirements like AI literacy and definitions of AI systems effective immediately. Organizations must educate personnel on AI risks and integrate literacy into governance frameworks. Key prohibitions include exploiting vulnerabilities and social scoring. Businesses should assess AI systems, ensure training, and stay updated on regulatory changes for compliance. Proactive approaches in governance may enhance trust and competitive positioning in the AI landscape.

https://kennedyslaw.com/en/thought-leadership/article/2025/first-steps-to-compliance-meeting-early-obligations-under-the-eu-ai-act/

Balancing AI Innovation and Regulation: Why the EU (Still) Needs a True Risk-Based Approach

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EU AI Act needs risk-based approach: The EU should avoid a one-size-fits-all AI regulation, which risks stifling innovation due to overlapping enforcement and lack of risk/benefit analysis. A sector-specific approach is suggested to balance risks and benefits, streamline regulation, and enhance competitiveness, ensuring that future AI guidelines support innovation while safeguarding public interest.

https://project-disco.org/european-union/balancing-ai-innovation-and-regulation-a-risk-based-approach/

What Cybersecurity Guardrails Do CIOs and CISOs Want for AI?

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CIOs and CISOs Seek AI Cybersecurity Guardrails
As AI models proliferate, CIOs and CISOs aim to establish security measures to mitigate risks from unauthorized access, cyberattacks, and data leaks linked to AI deployment. Key questions include vetting AI for security, managing multiple models, and tracking unauthorized AI use within organizations.

https://www.informationweek.com/machine-learning-ai/what-cybersecurity-guardrails-do-cios-and-cisos-want-for-ai-

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