Artificial Intelligence

Join ITIF for a discussion on recently introduced chatbot safety bills up for debate in Congress, including the GUARD Act and CHATBOT Act, and what policymakers, parents, and platforms could do to protect children without bans.

OECD data shows there is a consistent, positive relationship between the share of firms using AI and a country’s GDP per hour worked.

As AI capabilities continue to advance, some people have begun raising concerns about the long-term implications for the tax base. But this concern is likely overstated. Policymakers should refrain from changing the tax base on the assumption that labor income will decline.

Canada’s privacy regulators are restricting the use of public online data for AI training, but this approach could undermine AI innovation. Canada should instead adopt a harm-based framework focused on concrete privacy risks.

Requiring government approval before releasing advanced AI models would slow innovation, politicize AI development, and weaken U.S. competitiveness. Instead, policymakers should focus on collaborative safety efforts and strengthening cybersecurity.

In the AI economy, competitive advantage will depend less on memorizing information and more on the ability to question intelligent systems, identify errors, and refine outputs. Korea’s education system should adapt to prepare students for workplaces where managing AI-generated mistakes is more valuable than speed of recall.

Japan should revise its draft AI IP code to remove technically infeasible disclosure mandates and instead adopt workable, pro-innovation transparency standards aligned with international efforts like the Hiroshima AI Process to preserve U.S. alignment and avoid deterring AI investment.

The U.S. government needs to do what many nations around the world are already doing by leaning into rail technologies such as positive track control and automated track inspection, not resisting them on behalf of special interests.

While the U.S. has focused on securing AI systems themselves, it must urgently shift toward using AI defensively—through coordinated government, industry, and infrastructure efforts—to counter the growing threat of AI-powered cyberattacks on existing systems.

AI is supposedly going to make America’s current level of income inequality explode. That will not happen. The idea rests on far-fetched assumptions about monopolies, mass job loss, and winner-take-all dynamics that AI won’t change.