Arthur Palyan’s company, Levels Of Self, has launched the Nervous System framework, an open-source AI governance layer managing 13 autonomous agents across various messaging platforms. This innovative system aims to automate operations while ensuring compliance and auditability, offering significant cost savings for service businesses.
Japan is shifting towards governance-by-design in AI, emphasizing digital ethics, consent, and secure identity as crucial elements in AI projects. This shift signals increased spending on compliance, cybersecurity, and risk controls, influencing procurement preferences for vendors that ensure auditability and privacy protection.
The EU AI Act is gradually coming into effect, bringing uncertainty regarding the labeling of AI content and the definitions of operators and providers of foundation models. In this podcast episode, experts discuss the implications for innovation, transparency requirements, and the future of AI governance in Europe.
The White House has unveiled a comprehensive plan for regulating artificial intelligence, aiming to ensure safety and ethical use. This initiative is part of a broader effort to address the rapid advancements in AI technology and its implications for society.
The Trump administration has introduced a comprehensive national AI framework aimed at preventing states from implementing their own AI regulations. This framework focuses on six key pillars, including protecting children, safeguarding communities, and promoting innovation to ensure the U.S. remains a global leader in AI.
The 0→1 Doctrine, proposed by inventor Vatsal Soin, aims to close the governance gap in AI decision-making for critical infrastructure in space by providing verifiable proof of decisions made within authorized limits. This innovative architecture ensures safety and accountability by requiring that every AI decision is accompanied by an Actuation Compliance Receipt (ACR), thus mitigating existential risks associated with ungoverned actions.
At the end of 2025, the White House issued an executive order to create a national AI policy framework aimed at addressing the challenges posed by numerous state-level regulations. Federal IT leaders are encouraged to prepare for compliance requirements by utilizing existing frameworks and enhancing their data management practices.
Rogo has been validated by external auditors as compliant with the EU AI Act ahead of the August 2026 enforcement deadline. This compliance is crucial for clients in regulated industries seeking to deploy AI at scale without increasing regulatory risks.
The White House has introduced its first national AI policy framework, calling on Congress to enact legislation that establishes a uniform standard for AI development to protect free speech and prevent censorship. This framework aims to reduce regulatory uncertainty and maintain U.S. leadership in the AI sector while safeguarding children and ensuring that state laws do not hinder AI innovation.
The White House has unveiled its National Policy Framework for Artificial Intelligence, aiming to establish federal control over AI governance and prevent a fragmented state-by-state regulatory system. This proposal emphasizes a minimal regulatory approach while addressing concerns around child safety, copyright, bias, and free speech in AI outputs.
