AI

AI Regulations: OpenAI Calls on EU to Review, Simplify AI Rules

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OpenAI urges the EU to simplify AI regulations to enhance innovation and competitiveness, warning complexity may drive investment to non-democratic regions. They propose a unified pro-growth strategy, tripling computing capacity, and training 100 million Europeans in AI by 2026. OpenAI advocates for synergy between regulations and growth initiatives to ensure EU leadership in AI, emphasizing the need for urgent action against competing autocratic investments while also promoting responsible AI development aligned with European values.

https://www.pymnts.com/artificial-intelligence-2/2025/ai-regulations-openai-calls-on-eu-to-review-simplify-ai-rules/

EU AI Act Technical Standards Delayed Until Next Year

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EU AI Act Technical Standards Delayed: The EU's AI Code of Practice drafting has been delayed due to alignment issues with copyright law and risk assessments. The final draft's delivery has been postponed to May, while technical standards may extend into 2026, impacting compliance timelines. National regulators must be established by August 2026.

https://www.pymnts.com/cpi-posts/eu-ai-act-technical-standards-delayed-until-next-year/

CIOs Recalibrate IT Agendas to Make Room for Rising AI Spend

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CIOs are shifting IT priorities to prioritize AI investments, which have tripled in budget allocation this year. This shift is causing delays in other important projects, including legacy system updates and emerging tech initiatives. While AI spending is seen as essential, it risks neglecting foundational investments like data and architecture modernization, potentially hindering future innovation and competitiveness. Organizations must balance immediate AI pursuits with long-term strategic needs to avoid costly oversights.

https://www.cio.com/article/3957762/cios-recalibrate-it-agendas-to-make-room-for-rising-ai-spend.html

EU AI Act Brief

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The EU AI Act regulates AI in the workplace to protect workers' rights, prohibiting high-risk practices like biometric categorization and emotion recognition, with exceptions. Employers must ensure worker consultation before deploying AI systems, but loopholes exist in obligations, especially for private sector employers. High-risk systems are overseen with specific rights for employees, including the right to explanations and the ability to lodge complaints. The Act emphasizes transparency but has limited mechanisms for enforcement, highlighting the need for stronger regulations to protect workers in AI settings.

https://cdt.org/insights/eu-ai-act-brief-pt-4-ai-at-work/

Why CISOs Are Betting Big on AI, Automation & Zero Trust

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CISOs are increasingly adopting AI, automation, and Zero Trust to combat complex cyber threats and outdated security models. AI enhances threat detection by analyzing data quickly, while automation addresses alert overload, allowing faster incident response. Zero Trust reinforces security by continuously validating access based on user behavior. Together, these technologies create a robust, adaptive defense system, though challenges include outdated infrastructure, employee resistance, cost, and integration complexity. Embracing these technologies is essential for effective cybersecurity in a rapidly evolving threat landscape.

https://cybersecuritynews.com/why-cisos-are-betting-big-on-ai-automation-zero-trust/

Is AI the Answer to Creating Resilient Banks and Financial Institutions?

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AI could enhance resilience in banks by improving compliance, minimizing downtime, and optimizing operations through predictive analytics and automation. Despite significant investment in AI, the financial sector sees low ROI, revealing a need for strategic alignment and refined implementation. Emphasizing a culture of continuous improvement and seamless integration while balancing automation with human oversight remains crucial for leveraging AI’s full potential in creating robust financial institutions.

https://financialit.net/blog/aiinbanking-financialresilience/ai-answer-creating-resilient-banks-and-financial-institutions

10 CIO Questions to Determine AI Data Readiness

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CIOs must assess data strategies before AI initiatives. Ten key questions help gauge data readiness, focusing on objectives, data access, organization, privacy, quality, and success monitoring. Poor data frameworks risk business outcomes and trust, making clean data management essential. Collaborations between established vendors and AI startups are expected as organizations seek better data practices.

https://www.ciodive.com/news/CIO-questions-answer-data-readiness-AI/744515/

EU Commission Publishes AI Continent Action Plan and Seeks Input

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EU Commission released AI Continent Action Plan on April 9, 2025, aiming to lead global AI by promoting innovation, trust, and competitiveness while maintaining democratic values. Key aspects include €10 billion for AI factories, €20 billion for AI infrastructure, a Cloud and AI Development Act, a Data Union Strategy for better data access, an “Apply AI Strategy” for sector adoption, talent development initiatives, and regulatory compliance support for the AI Act. Public consultations will start in Q2 2025.

https://datamatters.sidley.com/2025/04/11/eu-commission-publishes-ai-continent-action-plan-and-seeks-input/

Artificial Intelligence Act (AIA)

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EU regulation for AI, ensures safety, transparency, accountability. Categorizes AI risks, mandates compliance for high-risk systems, establishes governance framework, promotes innovation while safeguarding rights.

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