Enforcement of the EU AI Act is facing significant challenges due to a lack of funding and expertise, according to European Parliament digital policy advisor Kai Zenner. He highlighted that many member states are struggling financially and losing technical talent to tech companies, which complicates the regulation of AI technologies.
As artificial intelligence (AI) becomes increasingly integrated into higher education, universities must adopt robust governance practices to ensure its responsible use. This involves addressing unique data challenges, prioritizing data privacy, and implementing accountability measures to enhance both compliance and innovation.
Artificial intelligence (AI) is transforming the digital health sector, enhancing patient engagement and operational efficiency while raising significant privacy and compliance concerns under HIPAA. Privacy Officers must navigate the complexities of AI integration to ensure that protected health information (PHI) is processed in accordance with HIPAA regulations.
The article discusses the implications of AI-powered automation in DevSecOps, highlighting the balance between efficiency and the risks associated with reliance on AI in security practices. It emphasizes the need for human oversight to avoid pitfalls such as compliance failures and security vulnerabilities.
A report suggests that Big Tech companies pressured the European Commission to dilute the Code of Practice on General Purpose AI, intended to help AI model providers comply with the EU’s AI Act. The investigation revealed that tech companies had greater access to the drafting process than other stakeholders, raising concerns about the influence of corporate lobbying on regulatory frameworks.
On April 9, 2025, the European Commission published the AI Continent Action Plan, outlining the EU’s strategy to enhance innovation and regulatory compliance in artificial intelligence. The plan emphasizes the importance of trustworthy AI and includes various initiatives to support the development and adoption of AI across key sectors.
As the Department of Defense (DoD) scales artificial intelligence across its operations, government contractors must ensure their AI solutions align with federal mandates and ethical standards. This guide outlines essential requirements and actionable steps to help contractors navigate DoD AI compliance effectively.
The article discusses the critical importance of securing AI and machine learning workloads running on cloud-native container platforms, highlighting the shared-responsibility model between cloud providers and their customers. It emphasizes that even minor misconfigurations can lead to significant data breaches, regulatory penalties, and loss of stakeholder trust.
Financial institutions face the challenge of balancing the need for effective fraud detection with compliance and customer privacy. Artificial intelligence has become a crucial tool in this effort, allowing for real-time monitoring and analysis of transactions to identify fraudulent activity while adhering to regulatory requirements.
On January 9, 2025, New Jersey’s Attorney General and the Division on Civil Rights announced a new initiative to address discrimination risks associated with artificial intelligence in hiring. The guidance outlines how the New Jersey Law Against Discrimination applies to algorithmic discrimination and emphasizes the need for employers to carefully consider their use of AI tools.