President Trump signed an executive order in January 2025 to remove barriers to American leadership in artificial intelligence (AI), emphasizing the need to solidify the US' position as a global leader in AI and to develop unbiased AI systems. To achieve its goals, the administration's AI policy vision will be developed and steps will be taken to de-implement President Biden's AI executive order. An AI action plan must be conceptualized and delivered, and the White House's Office of Budget and Management must publish a memorandum implementing the AI executive order by March 25th, 2025. The Trump administration also revoked President Biden's AI executive order and is reviewing federal agency actions taken under it to ensure consistency with the new policy. Despite the revocation of the Biden order, AI innovation and safety remain priorities for the US government.

US President Joe Biden issued an Executive Order (EO) to speed up the development of AI infrastructure in the US, prioritizing economic competitiveness, national security, AI safety, clean energy, and maintaining low energy prices for consumers. Federal agencies are mandated to lease federal sites, accelerate clean energy deployment, prioritize AI infrastructure permits, develop transmission lines, interconnect AI infrastructure to the electric grid, ensure low electricity prices for consumers, and further allies and partners' AI infrastructure development. Private developers are required to fully fund construction, operation, and maintenance of the AI infrastructure, and uphold strong labor standards and procure domestically manufactured semiconductors used to power AI.

The AI Tracker is a tool that follows AI legislation, regulation, guidance, and more around the world in real-time. They have also created an eBook that highlights the most significant developments in AI regulation and legislation as we move into 2025 in the APAC, EMEA, and AMER regions. The eBook can be downloaded from the provided link.

AI agents are autonomous systems built on large language models that can make judgments and take actions on behalf of users or other systems. They interact with users and their environment and have the ability to access external tools to make decisions. AI agents can learn and improve over time, and have various uses in enterprise settings such as customer service, process automation, and marketing. However, they face challenges such as complexity, resource-intensiveness, privacy concerns, and the need for human oversight during development stages. Additionally, there are ethical concerns associated with AI agents' ability to replicate human personalities, potentially leading to privacy violations and deepfake-related issues. Holistic AI's Safeguard can help audit and monitor LLMs for safer and faster deployment of AI tools.

The US Department of Labor has published a best practices roadmap for worker wellbeing, which outlines principles for workplaces that use AI. The eight principles focus on protecting worker rights and empowering employees, such as ensuring transparency in AI use, establishing AI governance and human oversight, and supporting workers impacted by AI. Although the principles and suggested actions are voluntary and not legally binding, they reflect enacted and proposed AI laws. Integrating these principles can reduce legal, financial, and reputational risks and increase trust in the use of AI in the workplace.