The EU’s AI Act: The First Obligations Take Effect
EU's AI Act now mandates first obligations.
https://www.jdsupra.com/legalnews/the-eu-s-ai-act-the-first-obligations-3018655/
AI
EU AI Act Roadmap: What Does the AI Act Mean for Your Organization?
EU AI Act requires organizations to implement a governance system for AI systems, classify them by risk, and prepare for compliance within two years. Violations can incur hefty penalties. Companies should establish clear responsibility lines among IT, legal, and compliance teams, conduct risk assessments, and create an inventory of AI solutions. A proactive approach is needed to meet the law's requirements and mitigate risks involved with AI usage.
Industry Flags ‘serious Concerns’ With Latest Draft of EU AI Code of Practice
Industry expresses major concerns over the draft EU AI Code of Practice, highlighting unresolved copyright issues and burdensome obligations that could hinder AI innovation. Critics from various sectors say the code lacks legal clarity and fails to address key risks effectively. Feedback on this draft is open until March 30, with a final version expected by May.
EU AI Act: Latest Draft Code for AI Model Makers Tiptoes Towards Gentler Guidance for Big AI
EU AI Act's new draft Code for AI model makers offers gentler guidance for compliance, aiming to clarify obligations around transparency and copyright for general purpose AI providers. Feedback for finalizing the Code is being collected until March 30, 2025, amidst concerns about potential overregulation as the EU responds to pressures from the U.S. administration. Key aspects include streamlined commitments and nuanced language that may benefit larger AI companies' data practices. The final version will clarify roles and responsibilities of AI model makers.
The EU’s AI Act: Implications on Justice and Counter-Terrorism
EU's AI Act, adopted June 2024, regulates AI use, categorizing systems by risk levels. It presents opportunities and risks in counter-terrorism, where AI aids recruitment and security while also raising ethical and human rights concerns. AI may enhance crime prevention through predictive policing but risks bias and privacy violations, especially affecting marginalized communities. Real-time biometric recognition has exceptions for counter-terrorism, potentially infringing rights. The Act lacks sufficient safeguards against misuse in security contexts, thus requiring rigorous enforcement to balance efficiency in justice with democratic freedoms.
https://gnet-research.org/2025/03/10/the-eus-ai-act-implications-on-justice-and-counter-terrorism/
Out of Balance: What the EU’s Strategy Shift Means for the AI Ecosystem
EU's shift in AI strategy aims for innovation and competitiveness, signaling a move away from strict regulations despite concerns about consumer safety. Leaders like Ursula von der Leyen and Macron suggest cutting red tape and fostering AI investment. This could risk the EU's regulatory influence globally, as the US pursues a deregulatory path, while China's focus on AI governance emphasizes political stability over citizen protection. The outcome of this strategic pivot remains uncertain, raising questions about the EU's motivations and capacity to encourage AI development effectively.
https://www.techpolicy.press/out-of-balance-what-the-eus-strategy-shift-means-for-the-ai-ecosystem/
Financial Services at a Crossroads
EU financial services face significant regulatory transformation through laws like the AI Act, GDPR, Data Act, and Cyber Resilience Act, reshaping compliance and risk management. Institutions must integrate these into their governance strategies, balancing innovation with data privacy and cybersecurity requirements. Effective governance and cyber resilience can transform compliance from a burden into a competitive advantage, driving innovation and customer trust.
https://www.timesofmalta.com/article/financial-services-crossroads.1106212
Want to Win in the Age of AI? You Can Either Build It or Build Your Business With It
AI success allows two paths: build AI or use it for business growth. Demand for AI expertise merges tech and business skills. Technical professionals must master tools, while business leaders need to understand industry-specific AI applications. Key skills include prompting AI, knowledge of tools, and combining technical literacy with business acumen for effective implementation.
AI, Friend or Foe?
AI: Friend or Foe?
Experts discuss AI legislation's future, moving focus from capabilities to regulation. Bunnings’ facial recognition case highlights privacy concerns and the need for risk-based regulatory frameworks, as seen in the EU's 2024 AI Act. A global consensus on AI's societal benefits is needed, emphasizing ethical principles over tech-specific laws. Trust in AI is crucial, particularly regarding open-source models. The call for regulations promotes safe AI deployment while balancing innovation, with Australian laws lagging behind global standards.
https://www.monash.edu/alumni/monash-life/articles-2025/ai-friend-or-foe
A Quarter of Startups in YC’s Current Cohort Have Codebases That Are Almost Entirely AI-generated
A quarter of Y Combinator's current startups have primarily AI-generated code, with 95% of their codebases created by AI. Founders are technical and capable but now rely on AI for coding. Concerns exist about AI-generated code introducing bugs and security flaws, emphasizing the need for developers to retain coding skills for debugging. The trend, considered by investors to be lasting, is termed “vibe coding,” where intuition is key in coding with AI assistance.