Science, Technology, and Public Policy

Gabrielle Armstrong-Scott and Jim Waldo argue that machine learning tools and a better definition of "terrorist and extremist content" could help make the Web a safer place.

Technology companies and governments have spent the past decade trying to better address the evolving threat of terrorist and violent extremist content online (TVEC). This paper examines how effective these efforts have been, where we are today in managing the problem, and wherein lie gaps for improvement.

Joseph Nye writes that the world is increasingly obsessed with the ongoing power struggle between the United States and China. But the technology-driven shift of power away from states to transnational actors and global forces brings a new and unfamiliar complexity to global affairs.

This paper argues that these potential vulnerabilities deserve rigorous, urgent, and thorough investigation. First, it draws from cybersecurity literature, and reviews general sources of vulnerability in digital systems. Next, with these sources of vulnerability in mind, it reviews the health intelligence systems used in the US as well as in a current Public Health Emergency of International Concern (PHEIC), the Ebola outbreak in the Democratic Republic of the Congo (DRC). It then It then reviews the possible motives state actors have to attack health intelligence systems, drawing on recent examples of state-led efforts to manipulate, conceal, or undermine health information. It then speculates about what an attack on a health intelligence system might look like. It concludes by proposing a research and education agenda to thoroughly interrogate these issues and generate policy recommendations needed to address them.

The authors explain how the risks of computer systems are transferring to biological systems. The difference is that biological systems have the potential to cause a greater degree of damage than computer systems. Stringent biocontainment helps, but no containment system provides zero risk.