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.
Join ITIF's Center for Data Innovation for a conversation with leading experts on the state of artificial intelligence and machine learning, the efforts by the public and private sectors to support related research and development, and the important policy steps that regulators and lawmakers should make to unlock these new opportunities.
Europe faces some daunting challenges—an aging population, sluggish growth, an influx of migrants and refugees—yet in the age of data-driven innovation, it also has powerful new tools to help address them, writes Nick Wallace in EurActiv.
Artificial intelligence is generating substantial benefits in many sectors of the economy and society. Policymakers should take this to heart as they evaluate how to spur further development and adoption of the technology.
Join ITIF's Center for Data Innovation and Rise, a civil rights nonprofit leading federal and state state efforts to implement legislation to protect the rights of sexual assault survivors, for a panel discussion on how policymakers and law enforcement can develop data-driven policies and practices to help in the fight against sexual assault and improve the lives of survivors.
Data-driven innovations have the power to address some of the most pressing social challenges in Europe by better informing policy and program design, improving service delivery, and spurring social innovations.
Policymakers should take action to ensure that the public and policymakers alike can better understand data on sexual assault, writes Joshua New in Ms. Magazine.
ITIF’s Center for Data Innovation filed comments suggesting the agency evaluate the effectiveness of collecting social media information before using it in practice.
Join ITIF's Center for Data Innovation for a panel discussion on how policymakers and international development organizations can take advantage of new opportunities to collect and apply data to improve the effectiveness of international aid.