The United States still holds a substantial overall lead in AI, but China has continued to reduce the gap in some important areas and the EU continues to fall behind.
August 7, 2018
As Alan McQuinn writes for InsideSources, data is not like cash, and enacting laws and regulations based on this misconception would both harm America’s digital economy and consumers.
August 1, 2018
The FTC and DOJ should insist that listing data be made available to improve competition, innovation, and the consumer experience.
July 27, 2018
We support the goal of the Federal Data Strategy, and we welcome the proposed steps to incorporate public input on the strategy through an iterative process.
July 26, 2018
Policymakers should make it easy for Americans to donate their medical data to science by establishing a national medical data donor registry, Eleni Manis writes for RealClearHealth.
July 25, 2018
ITIF's Center for Data Innovation for a discussed the various strategies countries are using to promote the development and adoption of AI.
June 27, 2018
ITIF's Center for Data Innovation hosted a conversation about data sharing in Europe and the steps policymakers can take to make more data available and reusable in Europe.
May 24, 2018
Organizations are scrambling to comply with the GDPR, sending out alerts to shield themselves from liability even though in many cases it’s not necessary. This is emblematic of a core problem: It is a confusing and impractical set of rules to comply with, and it offers consumers little to no benefit.
May 23, 2018
As Daniel Castro and Michael McLaughlin write for Fortune, the EU’s General Data Protection Regulation (GDPR) will harm not only the organizations that must comply with it, but consumers—the very people the new rules are intended to help.
May 22, 2018
Join the Center for Data Innovation for a presentation of its new report and a panel discussion on how policymakers can hold algorithms accountable while accelerating adoption of AI.
May 21, 2018
Instead of overregulating, governments should adopt a policy framework based on the principle of “algorithmic accountability” to promote innovation while holding human operators responsible for harmful outcomes.