NASA’s orbiting James Webb Space Telescope will be “the premier observatory of the next decade, serving thousands of astronomers worldwide, and studying every phase in the history of our Universe, ranging from the first luminous glows after the Big Bang, to the formation of solar systems capable of supporting life on planets like Earth, to the evolution of our own Solar System.”
So why does its Director need to have a Top Secret/SCI security clearance, as specified in the job description posted last month on USA Jobs?
Clearly, the secrets of the universe do not lend themselves to, or require, national security classification controls, let alone non-disclosure agreements or polygraph testing.
But in practice, the civilian space program intersects the national security space program at multiple points, and former CIA analyst Allen Thomson suggested that the future Webb Director might need a Top Secret intelligence clearance in order to engage with the National Reconnaissance Office on space technology and operations, for example.
The Webb Space Telescope “will complement and extend the discoveries of the Hubble Space Telescope, with longer wavelength coverage and greatly improved sensitivity,” according to NASA. “The longer wavelengths enable the Webb telescope to look much closer to the beginning of time and to hunt for the unobserved formation of the first galaxies, as well as to look inside dust clouds where stars and planetary systems are forming today.”
The Webb Telescope has a projected launch date in 2018.
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.