A Strategy to Blend Domestic and Foreign Policy on Responsible Digital Surveillance Reform
Summary
Modern data surveillance has been used to systematically silence free expression, destroy political dissidents, and track ethnic minorities before placement in concentration camps. China’s surveillance-export system is providing a model of authoritarian stability and security to the 80+ countries using its technology, a number that will grow in the aftermath of COVID-19 as the technology spreads to the half of the world still to come online. This technology is shifting the balance of power between democratic and autocratic governance. Meanwhile, the purported US model is un-democratic at best: a Wild West absent of accountability and full of black box, NDA-protected public-private partnerships between law enforcement and surveillance companies. Our system continues to oppress marginalized communities in the US, muddying our moral claims abroad with hypocrisy. Surveillance undermines the privacy of everyone, but not equally. Most citizens remain unaware of, unaffected by, or disinterested in the daily violence propagated by the unregulated acquisition and use of surveillance. The lack of coordination between state and local agencies and the federal government around surveillance has created a deeply unregulated surveillance-tech environment and a discordant international agenda. Digital surveillance policy reform must coordinate both domestic and foreign imperatives. At home, it must be oriented toward solving a racial equity issue which produces daily harm. Abroad, it must be motivated by preserving 21st century democracy and human rights.
The real opportunity of AI lies not just in the tools, but in an educator workforce prepared to wield them. When done right, this investment in human infrastructure ensures AI accelerates learning outcomes for all students, closing the “digital design divide.”
Good information sources, like collections, must be available and maintained if companies are going to successfully implement the vision of AI for science expressed by their marketing and executives.
Nestled in the cuts and investments of interest to the S&T community is a more complex story of how the administration is approaching the practice of science diplomacy.
By structuring licensing-and-talent deals that replicate mergers while avoiding antitrust scrutiny, dominant technology firms are reshaping AI labor markets, venture financing, and the future of U.S. innovation.