Joshua New

The maxim “you can’t manage what you can’t measure” has never been so relevant. The failure to effectively leverage data has undoubtedly cost many lives and caused severe social and economic damage to communities ravaged by opioid addiction.

Growing animus toward “Big Tech” companies and generalized opposition to technological innovation engenders support for policies that are expressly designed to inhibit it. That is deeply problematic for future progress, prosperity, and competitiveness.

Policymakers should recognize that the potential of data-driven drug development is crucial to the well-being of Americans as well as U.S. competitiveness, and develop policies to accelerate this transformation.

The Center for Data Innovation filed comments in response to a request for information from the Office of Management and Budget on identifying priority access or quality improvements for federal data and models for artificial intelligence (AI) research and development (R&D) and testing.

Robust technical standards for AI will be crucial to the success of the technology in the United States and abroad because they can serve as authoritative guidelines and benchmarks for the development and evaluation of AI. But concerns about the oversight of AI have stymied productive discussions about standards development by causing policymakers to prioritize oversight at the expense of technical understanding.

In an op-ed for The Hill, Daniel Castro and Joshua New write that the administration’s executive order launching the “American AI Initiative” is a welcome step towards boosting U.S. competitiveness in AI, but it does not go far enough.

Regulators can provide effective oversight of automated systems so as to both protect consumers and allow innovation to flourish.

The United States is the global leader in developing and using artificial intelligence (AI), but it may not be for long. Succeeding in AI requires more than just having leading companies make investments. It requires a healthy ecosystem of AI companies, robust AI inputs—including skills, research, and data—and organizations that are motivated and free to use AI.

NITRD’s National AI R&D Strategic Plan is a valuable opportunity to help the United States maintain its competitive edge in the absence of a broader national AI strategy.

Unfortunately, as the economy has become more innovation-based, there has been considerably less focus on how regulatory agencies can both protect consumers from harm and avoid undermining incentives for innovation.

In commentary for Fortune Magazine, Joshua New calls on policymakers to adopt a national strategy to promote artificial intelligence based on the principle of algorithmic accountability.

ITIF's Center for Data Innovation released a new report exploring opportunities to accelerate data-driven innovation in drug development and hosted a panel discussion about the ways data can make drug development faster, more efficient, and lead to new cures.

Artificial Intelligence is the proverbial Wild West, at least that's what concerns many skeptics. Please join ITIF's Center for Data Innovation in partnership with NIST for a conversation about the state of play in developing standards and oversight of AI systems, the need for proper governance of AI in key industries like health care and transportation, and the role that policymakers can play in advancing these efforts.

President Trump signed the OPEN Government Data Act (H.R. 4174) on January 14, 2019. The law is a major milestone for open data. Now that the law has been enacted, what should Congress and the administration do next to ensure the benefits of open data are fully realized?

While many nations have developed national strategies to support the development and adoption of AI, the United States has not. Join ITIF's Center for Data Innovation for the release of a new report laying out a detailed national AI strategy and a panel discussion about the ways in which policymakers can make the United States more competitive in the global AI race.

ITIF's Center for Data Innovation for a discussed the various strategies countries are using to promote the development and adoption of AI.

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.

Join ITIF's Center for Data Innovation for a discussion on a forthcoming report examining how the United States can build a data-driven education system, the benefits of a data-driven approach, and how to overcome the considerable challenges these innovations face.

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.

Join ITIF's Center for Data Innovation for a panel discussion exploring the impact of open legislative data on the public and private sectors and identifying opportunities for both federal and state governments to better provide this data to unlock social and economic benefits.

Join ITIF's Center for Data Innovation and the Data Coalition for a panel discussion about the future of open government data in the United States.