As organizations increasingly adopt generative AI tools, particularly in human resources, conducting thorough AI audits is essential to mitigate legal, operational, and reputational risks. A well-planned audit not only identifies potential issues but also informs the development of relevant AI policies and training.
AI compliance certification is essential for professionals to navigate the complex regulatory landscape as artificial intelligence increasingly integrates into various industries. This certification not only enhances career opportunities but also equips individuals with the necessary skills to ensure ethical and legal AI implementation.
The European Union has introduced a voluntary code of practice to assist companies in complying with the upcoming AI Act, which will regulate AI usage across its member states. This code addresses transparency, copyright protections, and the safety of advanced AI systems, while also responding to industry concerns regarding the complexity of the new regulations.
In 2025, the demand for Generative AI in risk and compliance certification is surging as organizations face complex regulatory landscapes and increasing threats. This certification equips professionals with the essential skills to automate compliance tasks and enhance risk management capabilities.
In 2025, the demand for Generative AI in risk and compliance certification is surging as organizations face complex regulatory landscapes and increasing threats. This certification equips professionals with the essential skills to automate compliance tasks and enhance risk management capabilities.
This article presents an AI readiness assessment framework tailored for the pharmaceutical industry, emphasizing the importance of aligning AI initiatives with regulatory standards and ethical practices. It highlights the critical need for transparency, data integrity, and accountability in adopting AI technologies to ensure patient safety and scientific integrity throughout the drug development lifecycle.
The commission is considering providing a grace period for companies that agree to comply with the new AI Code. This initiative aims to facilitate a smoother transition for businesses adapting to the upcoming regulations.
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.
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.