AI Safety and Security. Fellow @ CSET | Georgetown. CS/AI PhD. Nerd.
Washington, DC
Joined July 2012
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- Following143
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Colin Shea-Blymyer retweeted
So excited to share that today @CSETGeorgetown and @emergingtechobs are launching an ✨updated✨ version of our chip supply chain explorer! We've got:
👉 New data
👉 New features
👉 New analysis
Links in thread
Why does #ArtificialIntelligence red-teaming suck? How can we make it suck less?
All this and more at the next CSET webinar: cset.georgetown.edu/event/wh…
Join us for an awesome conversation.
Colin Shea-Blymyer retweeted
What: CSET Webinar 📺
When: Tuesday, 3/25 at 12PM ET 📅
What’s next for AI red-teaming? And how do we make it more useful?
Join @CLiaghati, @tori_westerhoff, @MariusHobbhahn, and CSET's @SheaBly & Jessica Ji for a great discussion (link in comments).
Colin Shea-Blymyer retweeted
✨🏛️New interactive tool🏛️✨
Use the latest @emergingtechobs resource to track AI governance from D.C. to Beijing.
ETO AGORA is a living collection of AI-relevant laws, regulations, standards, and other governance documents from the U.S. and around the world 🌎
Workshop Announcement 📯
On Dec 4 (1 day after AISIC Plenary) @CSETGeorgetown is hosting a workshop on the future of AI testing.
Workshop will run from 9am-1pm on Georgetown's Capitol Campus.
If you have experience testing AI systems please reach out to me for more details!
Colin Shea-Blymyer retweeted
ICYMI: Last week, the White House released its first-ever National Security Memo on AI.
Our experts broke down what it means for U.S. national security and AI development. cset.georgetown.edu/article/…
Colin Shea-Blymyer retweeted
Earlier today, the White House released its first-ever National Security Memo on AI.
Our experts tackled seven pressing questions about the memo and what it means for U.S. national security & AI development. cset.georgetown.edu/article/…
I'll be presenting work on logic, ethics, and agency at @AIESConf - I'm also down to chat about AI red-teaming, safety and security!
Paper link: arxiv.org/abs/2408.00147
Colin Shea-Blymyer retweeted
AI models at the world’s largest hacking convention!
@SheaBly's new blog post describes the lessons he learned from winning @aivillage_dc’s AI red-teaming challenge. cset.georgetown.edu/article/…
Colin Shea-Blymyer retweeted
How is state-of-the-art #AI red-teaming being done in practice?
Our new blog post by CSET's @SheaBly and Jessica Ji summarizes findings from this year’s @defcon and lays out a research agenda for future work on this important topic 👀⬇️ cset.georgetown.edu/article/…
Want to know how I won @aivillage_dc's AI hacking competition? Find out in my first blog post for @CSETGeorgetown!
✨New Blog Post✨
What does it take to win the grand prize at an AI hacking competition?
Find out in @SheaBly’s new recap about his experiences at @defcon's AI red-teaming challenge ⬇️ cset.georgetown.edu/article/…
Colin Shea-Blymyer retweeted
New piece out with my colleague Zach Arnold, laying out some basic common-sense policies that people with a wide range of views on AI could get behind:
-Building govt capacity
-Better measurement
-Independent auditing
-Disclosure
-Incident tracking
-Liability
🧵:
Colin Shea-Blymyer retweeted
@SheaBly made the most interesting submission and got an extra $1k.
Dustin Farley had the best body of work and also got an extra $1k.
Colin Shea-Blymyer retweeted
Congratulations to the top four teams winning prizes in our Water challenge! Our winning teams were from @EngineeringOSU, @WSUPullman, @ucmerced, and a combo @virginia_tech and @UVA team. The challenge video,youtu.be/OJjgRfNa7Hk, gives a sense of what they hacked!#AgAth0n2023
Last week I presented my research on auditing the ethics of AI systems at @UniofOxford for the @AIESConf - a dream come true!
If you are in a slack channel with 200 other people, and you're responding to someone, please make a thread... please...
I'm pleased to announce the acceptance of my paper “Algorithmic Ethics: Formalization and Verification of Autonomous Vehicle Obligations” to the ACM transactions on Cyber-Physical Systems!
Last night I tracked the sentiment of r/politics from about 9:00 PM to midnight PST. Here's the rolling average over 8000 comments (window size of 1000).
First, this is for giggles - there was no serious methodology involved.
Second, there was an absurd standard deviation and variance - that's why my windows are so large, otherwise it looks mostly like noise.