National Academy Views Biosecurity, Access to Information
A major new report from the National Research Council warns of future
biological threats and urges increased attention to mechanisms for
prevention, detection, mitigation and response to the destructive
use of biological agents.
But secrecy is not one of those mechanisms, the report says.
“In general, restrictive regulations and the imposition of
constraints on the flow of information are not likely to reduce the
risks that advances in the life sciences will be utilized with
malevolent intent in the future.”
“In fact, they will make it more difficult for civil society to
protect itself against such threats and ultimately are likely to
weaken national and human security.”
“The Committee endorses and affirms policies and practices that, to
the maximum extent possible, promote the free and open exchange of
information in the life sciences,” the report’s first recommendation
states.
The report contains some valuable extended discussion of information
policy in the context of biosecurity (esp. pp. 163-171).
See this January 31 news release for “Globalization, Biosecurity, and
the Future of the Life Sciences.”
Americans are paying too much for almost everything, because the United States has long treated its trucking industry as an artifact to be preserved rather than as an opportunity for innovation.
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.