Data Innovation

Technologies and tech companies are routinely accused of creating many societal problems. This book exposes these charges as mostly myths, falsehoods, and exaggerations.

Join the Center for Data Innovation for a panel discussion to explore the current landscape of AI applications in transitioning to a greener economy, identify key areas ripe for further exploration, and discuss actionable policy measures to foster innovation and adoption.

Join ITIF's Center for Data Innovation for a panel discussion exploring the hurdles impeding the widespread adoption of AI in the public sector and examining actionable steps to empower and facilitate the sector in harnessing the benefits of this cutting-edge technology.

A landmark ruling in 2015 made it harder for artists and record labels to determine where permissible influence and interpolation become impermissible appropriation and plagiarism. Congress should make things more consistent, accurate, and fair by directing the Copyright Office to launch a competition for the private sector to come up with an AI-enabled tool to compare how similar a musical composition or recording is to existing copyright-protected works.

Congress should charge the newly created AI Safety Institute housed at NIST with creating a national AI incident database and a national AI vulnerability database.

U.S. policymakers should learn lessons from past debates about dual-use technologies, such as encryption, and refrain from imposing restrictions on foundation models with widely available model weights (i.e. “open models”) because such policies would not only be ultimately ineffective at addressing risk, but they would slow innovation, reduce competition, and decrease U.S. competitiveness.

A look at the proposals put forth during China's major annual political convening give hints as to what the government may focus on in the year ahead, which includes AI model development, data sharing, skills development, and safety.

The proposed “kill switches” for AI potentially inflict considerable costs on U.S. chipmakers—thereby making their products less competitive and raising computing costs globally. But it would also raise concerns for both domestic and foreign users that the U.S. government could unilaterally shut down their computing clusters. U.S. policymakers should soundly reject these proposals.

Unlike the United States or the European Union, the primary focus among stakeholders in China was how to ensure China does not fall behind in the development or adoption of this emerging technology.

Ayesha Bhatti speaks at Impact the Future: International Women's Day 2024 on exploring the importance of open-source development in the pursuit of innovation.