The Biden administration's AI executive order has injected a degree of certainty into a chaotic year of debate about what legal guardrails are needed for powerful AI systems.
Why it matters: The U.S. will have some measure of government oversight of the most advanced AI projects. It won't have licensing requirements or rules requiring that companies disclose training data sources, model size and other important details.
The race between weather agencies to see who has the most advanced computer models has given way to an international competition over implementing artificial intelligence.
Driving the news: The U.K. Met Office, which already runs one of the top weather forecast models in the world, announced a new partnership on Tuesday with the Alan Turing Institute to develop highly accurate, lower cost forecast models using machine learning and AI techniques.
Seattle is building a digital parking system to better manage competing demands for curbside space among cars, delivery trucks, pedestrians and more.
Why it matters: Home of delivery giant Amazon, Seattle is in the vanguard of cities that are digitizing their parking rules — in part to crack down on the glut of delivery vehicles that double-park and don't pay for the spaces they occupy.
A U.S.-led group of 48 countries is finalizing a pledge this week that their governments won't pay ransomware hackers if they're faced with an attack.
Driving the news: Anne Neuberger, deputy national security adviser for cyber and emerging tech, told reporters Monday that the pledge will come as part of this week's annual meeting of the Counter Ransomware Initiative (CRI).
Policymakers are increasingly turning to ethical hackers to find flaws in artificial intelligence tools, but some security experts fear they're leaning too hard on these red-team hackers to address all AI safety and security problems.
Why it matters: Red teaming — where ethical hackers try breaking into a company or organization — is a major touchstone in the AI executive order President Joe Biden signed yesterday.
Even as they rush to capitalize on the generative AI boom, software makers struggle to put a price tag on AI services that cost money each time users submit a prompt.
The big picture: Most software-as-a-service products run up relatively modest server bills, but AI requires advanced hardware and runs it at capacity, and the current craze has created high demand for "compute" — the AI industry's shorthand term for processing power.
