California has recently implemented regulations concerning the use of automated-decision systems in employment, aimed at preventing discrimination and ensuring transparency. Employers must now prepare to comply with these regulations by conducting risk assessments and providing proper notices to employees and applicants.
ModelOps capabilities enable responsible AI governance, regulatory compliance, and scalable model deployment. It serves as the essential framework for organizations to bridge the gap between AI development and operational value, ensuring that AI technologies operate responsibly.
AI compliance involves adhering to legal, ethical, and operational standards in the design and deployment of AI systems, necessitating a comprehensive understanding of various regulatory frameworks. As AI adoption increases, so does the importance of establishing a robust compliance strategy to protect sensitive data, reduce risks, and build trust with stakeholders.
States are increasingly regulating the use of artificial intelligence (AI) in political advertising, imposing new obligations on campaigns and vendors, particularly around disclaimers for synthetic content and distribution limits near elections. Noncompliance can lead to serious consequences, including legal liability and reputational damage, necessitating proactive risk management by political advertisers and platforms.
The EU Artificial Intelligence Act (AIA) is set to revolutionize the development and approval of AI-enabled medical devices, making compliance essential for manufacturers and innovators in the European market. This upcoming webinar will clarify the AIA’s requirements and provide practical steps for aligning with new compliance obligations.
On September 29, California Governor Gavin Newsom signed into law the Transparency in Frontier Artificial Intelligence Act, making California the first state to mandate public safety disclosures from developers of advanced AI models. The law aims to enhance transparency and accountability among large AI developers, requiring them to disclose safety risk management practices and report critical safety incidents.
Italy has become the first EU member state to adopt a comprehensive law, Law No. 132, to regulate artificial intelligence, aligning with the EU AI Act. This new framework focuses on governance, ethical use, and the responsibilities of various sectors, including healthcare, labor, and justice, while emphasizing the importance of human oversight in AI applications.
Poppulo has become the first in its industry to earn the ISO/IEC 42001:2023 certification for its Artificial Intelligence Management Systems, establishing a benchmark for responsible AI governance. This certification allows Poppulo to confidently address enterprises’ concerns regarding AI risk management and governance frameworks.
California has enacted groundbreaking AI safety legislation to regulate high-compute AI models and mandate incident disclosures. This law aims to enhance transparency and accountability in AI technology, addressing the urgent need for safety protocols as AI systems continue to evolve and influence various sectors.
California has made history by passing the nation’s first AI safety law, requiring major AI firms to publicly disclose their safety practices. The new legislation aims to enhance transparency and address public concerns regarding the potential dangers of AI while fostering innovation.