How has interest in military careers evolved over time and by geographic location? And what are potential recruits' biggest concerns related to the Army? Anonymous data from Internet searches can provide insight.
RAND-Lex is a computer program that can scan millions of lines of text and identify what people are talking about, how they fit into communities, and how they see the world. The program has shed light on how terrorists communicate, how the American public thinks about health, and more.
Facebook's Mark Zuckerberg has called for new internet regulation starting in four areas: harmful content, election integrity, privacy, and data portability. His new rules could be expanded, as part of the follow-on discussion he calls for, to include several other necessary areas: security-by-design, net worthiness and updated internet business models.
As technology and the ability to gather ever-growing amounts of data move further into the realms of biology and human performance, communication and transparency become increasingly important. Experts should consider whether they are using the words, examples, and models that connect with a broad audience most effectively.
Instead of worrying about an artificial intelligence “ethics gap,” U.S. policymakers and the military community could embrace a leadership role in AI ethics. This may help ensure that the AI arms race doesn't become a race to the bottom.
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?
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.
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.
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.
Osonde Osoba has been exploring AI since age 15. He says it's less about the intelligence and more about being able to capture how humans think. He is developing AI to improve planning and is also studying fairness in algorithmic decisionmaking in insurance pricing and criminal justice.
The Criminal Justice Technology Forecasting Group discussed near-term effects that major societal trends could have on criminal justice and identified potential responses. This brief summarizes a report of the results of the group's meetings.
The Criminal Justice Technology Forecasting Group deliberated on the effects that major societal trends could have on criminal justice in the near future and identified potential responses. This report captures the results of the group's meetings.
RAND experts held a wide-ranging discussion about artificial intelligence and privacy. They raised questions about fairness and equity regarding privacy and data use, while also highlighting positive trends and developments across the evolving AI-privacy landscape.
The greatest opportunities to improve health happen pretty much everywhere but the doctor's office. Collaborative programming that merges strategies from housing, education, or labor could make a big difference.
As artificial intelligence (AI) becomes more prevalent in the domains of security and employment, what are the policy implications? What effects might AI have on cybersecurity, criminal and civil justice, and labor market patterns?
This issue highlights recent RAND research on post-9/11 military caregivers; RAND-Lex, a computer program built at RAND that can analyze huge data sets of text; and the implications of climate change on Arctic cooperation.
Data collection, and our reliance on it, have evolved extremely rapidly. The resulting algorithms have proved invaluable for organizing, evaluating and utilizing information. How do individuals' rights come in to play, when data about their lives is compiled to create algorithms, and the resulting tools are applied to judge them?
Branching from Open Science is 'citizen science,' -- the increased involvement of amateur scientists in the various stages of the scientific research process. This publication explores the definitions, opportunities and challenges for citizen science.