Lobbyists are making a final effort to delay the rules for General Purpose AI (GPAI) as the European Commission prepares to publish the voluntary Code of Practice. Despite these attempts, the Commission has indicated that the GPAI rules will still apply beginning in August.
The French CNIL has clarified that training AI models on personal data from public sources can be lawful under GDPR’s legitimate interest basis, provided certain conditions are met. However, this guidance does not resolve other regulatory issues such as copyright and database rights that continue to impact AI training practices.
The European Union’s stringent data protection laws have intensified scrutiny on global tech firms, particularly after a ruling against the Chinese AI company DeepSeek for allegedly mishandling user data. This regulatory landscape presents both challenges and opportunities for compliance-focused companies in the AI sector.
Artificial intelligence is becoming essential for the risk function, helping chief risk officers (CROs) to navigate compliance and data governance challenges. With a growing number of organizations adopting AI technologies, it is crucial for CROs to develop effective AI strategies to manage risks and drive innovation.
The pharmaceutical industry is facing a significant compliance gap regarding AI data security, with only 17% of companies implementing automated controls to protect sensitive information. This lack of safeguards exposes 83% of organizations to serious risks, including regulatory violations and the potential loss of valuable intellectual property.
On June 22, 2025, Governor Abbott signed the Texas Responsible Artificial Intelligence Governance Act, making Texas the third state in the U.S. to adopt comprehensive AI legislation. The Act establishes baseline duties for AI developers and deployers, prohibits social scoring, and creates a regulatory sandbox for testing innovative AI applications.
AI is transforming compliance by helping businesses navigate complex regulations while providing a competitive edge. By automating data collection and risk management, companies can streamline operations and turn compliance challenges into opportunities for growth.
AI is transforming compliance by helping businesses navigate complex regulations while providing a competitive edge. By automating data collection and risk management, companies can streamline operations and turn compliance challenges into opportunities for growth.
This post explores the ethical considerations surrounding large language models (LLMs) and their implications for responsible AI use. It evaluates various LLM providers based on criteria such as privacy, bias, reliability, and accountability, highlighting the importance of ethical practices in AI development.
Donald Trump’s One Beautiful Bill Act will retain a provision that prohibits states from regulating artificial intelligence for the next 10 years, as ruled by the Senate parliamentarian. This decision comes amid concerns from some GOP senators who plan to oppose the provision when the bill is brought to the Senate floor.