Publications: Hodan Omaar

If President-elect Trump wants AI to be a meaningful part of his legacy, he’ll need to focus on delivering the promise of his 2019 initiative, which pledged “AI for the American people.” That will require a clear agenda to accelerate adoption, prioritize innovation, and ensure the diffusion of AI’s benefits across the entire country.

California often sets the tone for national policy, but the recently passed AI Transparency Act (SB 942) is an example of what not to do.

To avoid disadvantaging and stifling open-source AI, BIS should consider adjustments of reporting for open-source models, allowing for the continued growth of innovation while ensuring the necessary security oversight.

Legislators currently lack the necessary information about how harms from AI systems may materialize and evolve in the real world to design truly effective regulations.

Instead of focusing on imposing AI-specific guardrails, Australia’s regulatory framework should prioritize mechanisms for accountability, transparency, and traceability in decision-making processes, particularly within the public sector.

Governor Gavin Newsom’s veto of California’s AI safety bill (SB 1047) was a sensible move, but a deeper issue remains unresolved. A fundamental flaw of the bill lies in its approach to AI safety: it attempts to identify risky systems based solely on assessments made before deployment.

As the United States commands the field with English-language large language models (LLMs) and China climbs the ranks to secure the lead in models for Chinese-language tasks, Europe is barely in the game when it comes to mastering models for its own languages.

China’s lead in quantum communications is undeniable, but its overall quantum prowess is limited; without computing breakthroughs, the United States still holds the upper hand.

The Center for Data Innovation submitted comments to the U.S. Artificial Intelligence Safety Institute (AISI) on its draft guidelines, Managing Misuse Risk for Dual-Use Foundation Models (NIST AI 800-1).

China’s relentless drive and strategic investments in AI suggest it is only a matter of time before it catches up—if not surpasses—the United States’ early lead.