Soft law was never meant to be a permanent solution. Treating it as one, and letting the sandcastle stand in for the skyscraper indefinitely, is how we end up with a decade of voluntary commitments and no enforceable accountability to show for it.
Jobseekers, employees at smaller organizations, and local public workers need more than a weekend crash course in AI. They need practice choosing useful tasks, protecting data, testing outputs, and explaining where human judgment remains necessary.
“What excites me is that it’s very tempting to be very discouraged, and say, ‘Oh, we’ve got these archaic institutions that are calcified and you could never change them.’ But I think we’re in the middle of a technological revolution that will upend lots of things, and does provide a window.”
As Congress considers broader packages to advance critical minerals production and supply chain resilience, science diplomacy vehicles must be part of that conversation, not as an afterthought, but as an intentional and foundational pillar of any strategy.
For our SOURCE CODE: AI Trust and Fairness Sprint, we’ve developed 10 memos with leading experts that are detailed, implementable policy solutions for burgeoning AI concerns.
Each publication developed under this initiative focuses on a distinct aspect of health and innovation, from artificial intelligence in healthcare, to rethinking national health frameworks, to advancing heat-health resilience.
The federal government is closely examining how it plays a role in supporting students, families, and educators – reimagining its approach to funding education R&D, pausing much of its investment in education outside the U.S., and completely reconceiving the structure of agencies responsible for education.
AI safety is a rapidly evolving field that draws attention from a diverse range of policymakers across the political spectrum, including those in Congress, federal agencies, and state and local governments.
We engage with the public, academia, and the private sector to foster a broader understanding of AI and emerging technology policy issues.
The U.S. bioeconomy is growing rapidly, innovation is needed to sustain and maintain this growth. Shaping policy to consider workforce development, advanced agriculture, bioindustrial and biotech sectors will be imperative to keep the needle moving forward.
We aim to catalyze a more nimble science funding ecosystem, capable of keeping up with and facilitating new innovations to improve the lives of people around the world.
