Mia Hoffmann

@miahoffmann.bsky.social

AI governance, harms and assessment | Research fellow @csetgeorgetown.bsky.social

Yesterday's new AI Action Plan has a lot worth discussing! One interesting aspect is its statement that the federal government should withhold AI-related funding from states with "burdensome AI regulations." This could be cause for concern.

🚨We're hiring — only a few days left to apply!🚨 CSET is looking for a Media Engagement Specialist to amplify our research. If you're a strategic communicator who can craft press releases, media pitches, & social content, apply by March 17, 2025! cset.georgetown.edu/job/media-en...

Media Engagement Specialist | Center for Security and Emerging Technology

The Center for Security and Emerging Technology, under the School of Foreign Service, is a research organization focused on studying the security impacts of emerging technologies, supporting academic ...

cset.georgetown.edu

What does the EU's shifting strategy mean for AI? CSET's @miahoffmann.bsky.social & @ojdaniels.bsky.social have a new piece out for @techpolicypress.bsky.social. Read it now 👇

Mia Hoffmann@miahoffmann.bsky.social · last yr.

If you’ve ever wondered what the EU and elephants have in common - or are wondering now- read my latest piece with @ojdaniels.bsky.social! We take a look what the EU’s new innovation-friendly regulatory approach might mean for the global AI policy ecosystem www.techpolicy.press/out-of-balan...

If you’ve ever wondered what the EU and elephants have in common - or are wondering now- read my latest piece with @ojdaniels.bsky.social! We take a look what the EU’s new innovation-friendly regulatory approach might mean for the global AI policy ecosystem www.techpolicy.press/out-of-balan...

Out of Balance: What the EU's Strategy Shift Means for the AI Ecosystem | TechPolicy.Press

Mia Hoffmann and Owen J. Daniels from Georgetown’s Center for Security and Emerging Technology say Europe's movements could change the global landscape.

techpolicy.press

There have been a ton of AI policy developments coming out of the EU these past weeks, but one deeply concerning one is the withdrawal of the AI Liability Directive (AILD) by the European Commission. Here’s why:

Yesterday, the EU AI Act’s first few provisions came into effect. The General Provisions and the prohibitions of unacceptable risk AI systems are applicable from now on. Here’s what that means:

US leadership in AI has been a goal of the past Trump & Biden administrations. But that concept of leadership focused too much on “AGI” and too little on AI diffusion. The DeepSeek release - a model that was immediately widely adopted - is a reminder to adjust these priorities. Here’s why:

As someone who has reported on AI for 7 years and covered China tech as well, I think the biggest lesson to be drawn from DeepSeek is the huge cracks it illustrates with the current dominant paradigm of AI development. A long thread. 1/

Do you care about AI? Wonder what it means for the workforce? Worried about biorisk or tech competition with China? Curious about AI governance? If you answered Yes to any of these, check out our Starter Pack and follow my brilliant colleagues working on these topics! bsky.app/starter-pack...

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"Internal company documents... show that Amazon health and safety personnel recommended relaxing enforcement of the production quotas to lower injury rates, but that senior executives rejected the recommendations apparently because they worried about the effect on the company’s performance."

Amazon Disregarded Internal Warnings on Injuries, Senate Investigation Claims (Gift Article)

A staff report by the Senate labor committee, led by Bernie Sanders, uncovered evidence of internal concern about high injury rates at the e-commerce giant.

nytimes.com

“An internal assessment of a machine-learning programme used to vet thousands of claims for universal credit payments across England found it incorrectly selected people from some groups more than others when recommending whom to investigate for possible fraud.”

Revealed: bias found in AI system used to detect UK benefits fraud

Exclusive: Age, disability, marital status and nationality influence decisions to investigate claims, prompting fears of ‘hurt first, fix later’ approach

theguardian.com