New York lawmakers have passed the RAISE Act, a comprehensive bill aimed at regulating AI safety, which now awaits the governor’s approval. The legislation requires large language model developers to disclose safety protocols and risk evaluations, with significant penalties for noncompliance.
The European Union has initiated a new era of AI regulation with the Artificial Intelligence Act, which went into effect on August 1, 2024. This landmark legislation establishes a comprehensive legal framework for AI, introducing a phased approach to compliance and imposing obligations on developers, providers, and deployers of AI systems.
New York is poised to introduce the Responsible AI Safety and Education (RAISE) Act, which would mandate that major AI developers publish safety protocols and conduct risk assessments before releasing advanced AI models. The bill, which has passed the state Senate, aims to minimize risks associated with powerful AI systems while imposing civil penalties for violations.
The FDA’s recent rollout of the internal AI tool, Elsa, aims to address the challenges of regulatory document review, but experts warn that creating effective regulated AI is highly complex. Erez Kaminski, CEO of Ketryx, suggests that a neuro-symbolic approach, combining neural networks and rule-based AI, may be essential for managing the intricate demands of regulatory environments.
New York has become the first state to pass comprehensive legislation regulating AI safety through the RAISE Act, which targets powerful AI models from major companies. This groundbreaking bill mandates transparency and safety assessments from developers, aiming to balance innovation with necessary safeguards.
This report analyzes the global regulatory and risk landscape of AI, aimed at supporting companies in their AI strategy development and compliance. It identifies key regulatory trends and implications, highlighting the growing number of AI-related laws being enacted worldwide.
New York state lawmakers have passed the RAISE Act, aimed at preventing AI models from contributing to disasters that could result in significant loss of life or economic damage. The bill establishes transparency standards for AI labs and empowers the attorney general to impose civil penalties for non-compliance.
The Cloud Security Alliance (CSA) highlights that many AI adoption efforts fail because companies attempt to integrate AI into outdated processes that lack the necessary transparency and adaptability. To address this issue, the CSA introduces the Dynamic Process Landscape (DPL) model, which emphasizes structured and compliant workflows for successful AI implementation.
Spain is leading in AI governance by establishing Europe’s first AI regulator, AESIA, and implementing a draft national AI law that aligns with the EU AI Act. The country is also creating a regulatory sandbox to test high-risk AI systems while promoting ethical and human-centric principles in its AI strategy.
The article discusses the integration of Artificial Intelligence (AI) in the gambling industry, emphasizing the balance between technological advancements and regulatory compliance. It highlights the increasing liability risks associated with AI deployment, particularly in relation to player protection and transparency requirements.