Join ITIF's Center for Data Innovation for a discussion about AI, jobs, and digital development in the Global South.

Watch the Center for Data Innovation and R Street's webinar where they discussed the potential costs and benefits of creating a new AI regulator in the United States, the extent to which regulators can address AI risks today, and what additional tools or resources might be necessary to hold companies accountable for their use of AI.

Watch the panel discussion on what the NQIA got right, where there is room for improvement, and what policymakers should do next.

Join ITIF’s Center for Data Innovation to discuss the potential benefits and costs of end-to-end encryption and what law enforcement access to user data could look like in the future.

Join the Center for Data Innovation for a discussion on how generative AI works, how artists are using these tools, and whether AI-generated art will be a boom or bust for human creativity.

A robot tax is a misguided policy that would inhibit productivity growth that could otherwise make U.S. companies more competitive, create higher-paying jobs, and improve quality of life for all Americans.

As generative AI continues to rapidly improve in terms of its performance and capabilities, it is clear the technology will have important uses in many sectors. Despite its potential, the legal sector continues to resist AI in order to protect lawyers rather than integrating it as quickly as possible to benefit clients.

Several AI industry leaders and researchers signed an outlandish statement this week claiming AI systems pose an existential risk to humanity and urging policymakers to prepare for them with the same urgency they give nuclear war and pandemics. Their doomy predictions are nothing more than catastrophizing, but unfortunately, such hyperbolic claims fan the flames of AI fears and detract from productive discussions on how to ensure AI is developed and deployed in ways that serve society.

On behalf of the Center for Data Innovation, the following are comments regarding the
Competition and Markets Authority’s (CMA) initial review of foundation models, their competitive
market and use cases, and principles that can guide their development and adoption.

As more companies use robots, many worry about the effect of automation on workers. The good news is that robots bring many benefits to both companies and workers. In fact, encouraging robot innovation and adoption supports the U.S. workforce and economy in four ways.

In response to China announcing draft regulations for generative AI to bolster the Chinese Communist Party’s influence on global AI rules, Senate Majority Leader Chuck Schumer (D-NY) unveiled a proposal last month to regulate AI in the United States. Senator Schumer should keep faith in—and advocate for—a light-touch approach to AI regulation because it provides a much-needed counter to the heavy-handed regulatory approach from China and the EU.

The list of U.S. policymakers calling for new laws to regulate AI is growing. And one reason they may take this position is because of how vocal European and Chinese policymakers have been about regulating AI, creating the false perception that new laws are necessary and inevitable. Meanwhile, lawmakers in the UK and India say they have no intention of proposing new legislation; U.S. policymakers should heed this alternative view.