In a significant shift in federal strategy, the White House has introduced new policies that introduce government by artificial intelligence (AI) This move marks a departure from the previous approach of using AI to augment government functions, and instead seeks to embed AI at the heart of decision-making processes.

The implications of this policy change are far-reaching, with major stakes for both the public and startups.

**From Government with AI to Government by AI**

The new AI policies announced by the White House aim to harness the power of AI to drive innovation and transformation across various sectors This shift in focus is evident in the 15 distinct categories of high-impact AI use cases outlined in the AI policy memo, which include safety-critical functions for critical infrastructure, healthcare, transportation, and education.

These high-impact use cases are designed to drive economic growth, improve public services, and enhance national security By prioritizing these areas, the White House is signaling its commitment to leveraging AI as a strategic tool for addressing complex societal challenges.

**Managing AI Risk through Governance**

As organizations begin to integrate AI into their decision-making processes, it's essential that they develop robust governance frameworks to manage associated risks Effective AI risk management requires a comprehensive approach that aligns with global and industry-specific regulations.

Organizations should prioritize building a governance framework that addresses key areas such as data quality, bias mitigation, transparency, and accountability This includes establishing clear policies and procedures for AI development, deployment, and monitoring, as well as ensuring that human oversight and review mechanisms are in place to mitigate potential errors or biases.

**Regulating AI Technologies: A Growing Concern**

The increasing reliance on AI technologies has raised concerns about the need for robust regulation Recent reports have highlighted the importance of addressing regulatory gaps related to AI development and deployment This includes the need for clearer guidelines on data collection, processing, and sharing, as well as more stringent requirements for transparency and accountability.

Researchers and policymakers are working together to develop a framework for regulating AI technologies that balances innovation with public safety and trust The goal is to create a regulatory environment that supports the responsible development and deployment of AI while minimizing potential risks to individuals and society.

**Conclusion**

The new White House AI policies introduce government by AI, marking a significant shift in federal strategy As organizations and policymakers navigate this evolving landscape, it's essential that they prioritize building robust governance frameworks to manage associated risks.

By doing so, we can ensure that the benefits of AI are harnessed while minimizing potential drawbacks.

As we move forward, it will be crucial to strike a balance between innovation and regulation, ensuring that AI technologies are developed and deployed in ways that promote public trust and safety.