Video technology is changing the ways that law enforcement works and interacts with the public. In this report, the authors explore some of the challenges posed and innovation needs in this emerging area.
As tech-based systems have become all but indispensable, many institutions might assume user data will be reliable, meaningful and, most of all, plentiful. But what if this data became unreliable, meaningless, or even scarce?
Data breaches and cyberattacks cross geopolitical boundaries, targeting individuals, corporations and governments. Creating a global body with a narrow focus on investigating and assigning responsibility for cyberattacks could be the first step to creating a digital world with accountability.
This report describes the development of an online repository of more than 200 assessments of K--12 students' interpersonal, intrapersonal, and higher-order cognitive competencies, including associated descriptive and evaluative information.
This tool is an online database with information on assessments of K-12 students' interpersonal, intrapersonal, and higher-order cognitive competencies, including associated descriptive and evaluative information.
This document provides an overview of data collection methods and evaluation designs suitable for evaluating interventions and programmes designed to prevent and counter violent extremism and radicalisation.
This report describes the measures in the Survey of Trauma, Resilience, and Opportunity Among Neighborhoods in the Gulf (STRONG), which assesses the health and well-being of Gulf Coast residents five years after the 2010 Deepwater Horizon oil spill.
Conversations about unconscious bias in artificial intelligence often focus on algorithms unintentionally causing disproportionate harm to entire swaths of society. But the problem could run much deeper. Society should be on guard for the possibility that nefarious actors could deliberately introduce bias into AI systems.
High-tech health care solutions are part of an emerging sector of medical technologies that monitor personal health data by essentially connecting your body to the Internet. As smart devices in health care evolve, the line between human and machine is blurring, and creating new concerns about consumer safety and privacy rights.
Electronic health records have helped streamline record keeping but providers aren't always able to reliably pull together records for the same patient from different hospitals, clinics, and doctor's offices. The growing use of smartphones offers a promising opportunity to improve record matching.
The rise of education technology brings increased opportunity for the collection and application of data. This presents challenges, including data infrastructure issues that could limit the usefulness of data, and privacy concerns.
In a large data breach, there could be a real risk to victims' financial or personal security. Though responsible organizations should do everything in their power to ensure data is protected in the first place, they also should prepare a plan to ensure prompt victim response.
The recent erosion of public trust in facts and institutions is not the first period of Truth Decay in U.S. history. What's different this time is the increasing disagreement about objective facts. Jennifer Kavanagh and William “Pat” Getty discussed the trend and how to stop it.
When health providers exchange medical records, the success rate can be as low as 50 percent. The ubiquity of mobile phones offers a promising opportunity to create a patient-empowered system to confirm identities that would allow hospitals and other providers to match records more accurately.
This report presents information on recent participants of the National Guard Youth ChalleNGe, a quasi-military program for young people lacking a high school diploma. It also documents program progress in academics, fitness, and other areas.
Artificial intelligence (AI) systems are often only as intelligent and fair as the data used to train them. To enable AI that frees humans from bias instead of reinforcing it, experts and regulators must think more deeply not only about what AI can do, but what it should do—and then teach it how.