Artificial Intelligence

Audio watermarking won’t mitigate the risks associated with AI-generated voice cloning. The challenge isn’t only technical but also social—how people consume and trust media.

Absent major policy intervention, the experts tell us, AI will drive up income inequality to stratospheric levels. This idea is becoming de rigueur in Western intellectual circles, even though the underlying arguments supporting it are fallacious to the point of absurdity.

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.

Congress should pass an amended version of the NO FAKES Act that preempts all existing and future state digital likeness laws. This would ensure consistent IP protections for all Americans—including performers—support innovation in entertainment, and prevent a patchwork of state digital replica laws.

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.

Daniel Castro speaks about AI's impact on electricity consumption at the Capital Goods Virtual Conference 2024.

The EU should adopt a more flexible, innovation-driven approach to AI regulation to boost global competitiveness, according to the European Competitiveness Report by Mario Draghi.

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.