Microsoft is expected to sign the European Union’s code of practice for artificial intelligence, while Meta Platforms has declined to do so, citing legal uncertainties. The code aims to ensure compliance with the EU’s AI regulations and requires companies to disclose training data.
The European Commission has issued guidelines to assist AI models deemed to have systemic risks in complying with the EU’s AI Act, which will take effect on August 2. These guidelines aim to clarify obligations for businesses facing substantial fines for non-compliance while addressing concerns about the regulatory burden.
The new EU “safety and security” standards require tech companies to moderate content on general-purpose AI models to prevent “hate” and “discrimination.” This regulation is anticipated to enhance censorship across major tech platforms, potentially undermining democratic processes and fundamental rights.
On June 22, 2025, Texas enacted the Texas Responsible Artificial Intelligence Governance Act (TRAIGA), making it the second state to implement comprehensive AI regulations. The Act establishes prohibitions on certain AI practices and aims to protect consumers while promoting responsible AI development.
Artificial intelligence is increasingly becoming integral to corporate compliance functions, streamlining processes but also introducing regulatory and operational risks. Compliance leaders must ensure that AI systems adhere to established standards of accountability and transparency to mitigate potential liabilities.
The European Commission has released guidelines to assist companies in complying with the EU’s artificial intelligence law, which will take effect on August 2 for high-risk and general-purpose AI models. Firms must evaluate their models, report incidents, and adhere to transparency requirements to avoid significant fines.
The post discusses the systemic risks associated with AI models and provides guidance on how to comply with the EU AI regulations. It highlights the importance of understanding these risks to ensure responsible AI development and implementation.
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.
Thirty-one artists from Europe have launched a campaign urging the EU Commission to “Stay True to the AI Act,” criticizing its implementation for failing to adequately protect artists’ rights against AI companies. They argue that the legislation is being weakened, which undermines the protections originally intended for creators.