Joshua New
ITIF
Washington, DC, United States
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Past articles by Joshua:
How Data Can Help in the Fight Against the Opioid Epidemic in the United States
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. → Read More
A Policymaker’s Guide to the “Techlash”—What It Is and Why It’s a Threat to Growth and Progress
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. → Read More
When Is it Okay to Use Data for AI?
Developing AI requires a lot of data and, in many cases, this data comes from third parties. But organizations willing to share data for computational uses have not had easy-to-use licenses for distributing data. Many common licenses, such as the Creative Commons licenses, were developed without con → Read More
Copyright Law Should Not Restrict AI Systems From Using Public Data
In March 2019, IBM created the “Diversity in Faces” dataset to provide a set of photos of peoples’ faces of various ages and ethnicities to help reduce bias in facial recognition systems. Even though IBM compiled the dataset from photos people shared online with a license which allows others to use → Read More
How to Fix the Algorithmic Accountability Act
After months of advocates turning up the volume on concerns that algorithmic decision-making may exploit consumers, amplify bias, and foster discrimination, Congress made its first legislative foray into the issue of algorithmic governance with the Algorithmic Accountability Act of 2019. Unfortunate → Read More
The Promise of Data-Driven Drug Development
From screening chemical compounds to optimizing clinical trials to improving post-market surveillance of drugs, the increased use of data and better analytical tools such as artificial intelligence (AI) hold the potential to transform drug development, leading to new treatments, improved patient out → Read More
The Promise of Data-Driven Drug Development
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. → Read More
Deepfakes Deserve Policymakers’ Attention, and Better Solutions
Deepfakes—realistic-looking images and videos altered by AI to portray someone doing or saying something that never actually happened—have been around since the end of 2017, yet in recent months have become a major focus of policymakers. Though image and video manipulation have posed challenges for → Read More
AI Needs Better Data, Not Just More Data
AI has a data quality problem. In a survey of 179 data scientists, over half identified addressing issues related to data quality as the biggest bottleneck in successful AI projects. Big data is so often improperly formatted, lacking metadata, or “dirty,” meaning incomplete, incorrect, or inconsiste → Read More
The US is finally moving towards an AI strategy
The American AI Initiative can serve as the foundation of a national strategy. → Read More
Worried About Bias in AI? Worry About Humans Instead
In October 2018, news broke that Amazon had developed a machine learning system to vet job applicants that was inadvertently biased against women. Commentators seized on it as a scandal, writing dramatic headlines such as “Amazon Created a Hiring Tool Using AI. It Immediately Started Discriminating → Read More
Why the United States Needs a National Artificial Intelligence Strategy and What It Should Look Like
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, a → Read More
Why the United States Needs a National Artificial Intelligence Strategy and What It Should Look Like
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. → Read More
Comments to NITRD on Updates to the 2016 National AI R&D Strategic Plan
The Center for Data Innovation has filed comments with the Networking and Information Technology Research and Development (NITRD) Program about updating its 2016 National Artificial Intelligence Research & Development Strategic Plan. The United States is the global leader in developing and using → Read More
Fighting Military AI Research Undermines Social and Economic Progress
In November 2017, an advocacy group called the Campaign to Stop Killer Robots published a short film called “Slaughterbots” in which autonomous drones developed by the military-industrial complex terrorize and kill innocent civilians. Though compelling, Slaughterbots is disingenuous propaganda that → Read More
Automation Is the Key to Good Government
On October 12, the General Services Administration (GSA) held an event called Future Services Now to highlight the ways the federal government is using emerging and innovative new technologies to improve government services. One of the main takeaways from the event, hosted by GSA’s Emerging Citizen → Read More
Here’s What the USMCA Does for
Earlier this week, the Trump administration announced the United States-Mexico-Canada Agreement (USMCA), the trade deal it intends to replace NAFTA with. The parties—Canada, Mexico, and the United States—still have to adopt the deal, and if they do, they will enjoy several welcome provisions that ca → Read More
How Countries Are Preparing for the Global AI Race
Artificial intelligence (AI) stands to have a significant impact on the global economy as organizations use the technology to automate processes and deliver higher-quality services. Like the introduction of other major technologies, from electricity to the Internet, the mass adoption of AI has the o → Read More
Why is federal government data disappearing?
OPINION | The White House recently deleted all of the data on its open data portal. → Read More
The Panama Papers reveal the sad state of U.S. corporate data transparency laws
Given the massive scale of the Panama Paperswhistleblower leak—terabytes of files documenting the business dealings of more than 200,000 offshore shell companies—many observers have been surprised to see that only 211 people with U.S. addresses have surfaced in the data. But while journalists working on the investigation have hinted that more Americans eventually will be implicated in tax… → Read More