The European Union has released a new draft of rules for companies utilizing general-purpose AI models, highlighting ongoing significant concerns from critics regarding its implications for tech companies in Europe. The draft introduces various regulations aimed at ensuring ethics, safety, and transparency in the use of AI technology.
The article discusses how the recent political climate, particularly with the rise of Trump, has inadvertently sparked a sense of solidarity and urgency in Europe regarding the development of AI technologies. It argues that Europe has the potential to lead in AI innovation by harnessing its talent and values, despite challenges posed by regulation and competition from the US.
Kristen Gonzalez, a New York state senator, introduced the Loading Act to regulate the use of artificial intelligence in government, ensuring transparency and labor protections for state workers. She emphasized the importance of responsible AI use as generative AI technologies continue to evolve and impact employment.
The AI Liability Directive (AILD) was proposed by the European Commission in September 2022 to introduce uniform rules for non-contractual civil claims related to AI. However, the AILD has faced stagnation and resistance in the legislative process, with recent indications of a potential withdrawal from consideration.
Artificial intelligence (AI) is increasingly prevalent in various sectors, but its misuse can lead to bias and unfair decisions, posing significant business risks. Companies must transition from merely discussing AI ethics to actively implementing responsible AI practices that ensure fairness, transparency, and accountability.
On March 4, 2025, the Irish government approved a recommendation to implement a distributed regulatory model for enforcing the EU Artificial Intelligence Act. This marks a significant step in establishing a framework for AI governance in Ireland, designating eight public bodies as national competent authorities responsible for oversight in their respective sectors.
AI model auditing services are essential for ensuring responsible AI development by evaluating algorithms for accuracy, fairness, and compliance with legal standards. As AI systems become more prevalent, the need for transparency and accountability in their decision-making processes has never been greater.
This blog post explores the potential overlaps and contradictions between the EU’s AI Act and the General Data Protection Regulation (GDPR). It highlights the importance of understanding how both regulations interact, particularly regarding the processing of personal data by AI systems.
The use of patient data in scientific research for training AI systems raises important GDPR considerations, particularly regarding the compatibility of secondary data use. Organizations must ensure compliance with GDPR principles and assess whether the repurposing of data aligns with the original collection purposes.
The UK is working on new regulations to better govern software and AI in medical devices, with the MHRA focusing on principles that ensure safety and efficacy. As innovation accelerates, the MHRA has initiated programs like the AI Airlock pilot to streamline the path for AI medical devices to reach the market.
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