Publications: Hodan Omaar

The UK’s copyright system has long prioritized economic interests over creators’ control, allowing industries to learn from creative works without permission. Critics now opposing AI training have benefited from these same principles. A fair debate should acknowledge this precedent rather than selectively restricting AI.

DeepSeek’s breakthrough is a wake-up call that China’s AI capabilities are advancing faster than Western conventional wisdom has acknowledged.

The bill’s heavy-handed approach risks creating more problems than it solves, prioritizing bureaucratic hurdles over meaningful progress in fairness and accountability.

The United States has seen fragmented efforts in AI regulation. Lacking coordination, these efforts failed to create a unified strategy, leaving the U.S. without a clear voice on AI.

This post is part of our ongoing series on China’s AI unicorns. Moonshot AI, a Beijing-based startup, rose quickly in China's AI market with its flagship chatbot Kimi, known for processing 2 million characters and a consumer-focused approach.

Five Chinese generative AI start-ups, known as "AI Tigers," have achieved unicorn status by 2025, highlighting China's rapid innovation and distinct strategies in the global AI race. This blog series delves into each of these five startups.

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.