Dewey Murdick

@deweyam.bsky.social

Shaping how we learn, teach & discover in the age of AI | Professor & Researcher @Georgetown exploring human-AI teaming | Advisor | Views my own

What makes us irreplaceably human? Bumper stickers: Deep expertise to challenge when AI's wrong Empathy to build human connection Moral compass to ask should we? with purpose The future isn't resisting or embracing AI blindly, it's staying human while leveraging its power

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📢 CSET is hiring! We’re looking for a Data Research Analyst to produce data-driven research products and policy analysis as a member of CSET’s data team! Interested or know someone who would be? Learn more and apply by September 2 👇 cset.georgetown.edu/job/data-res...

Data Research Analyst | Center for Security and Emerging Technology

We are currently seeking capable data storytellers, analyzers, and visualizers to serve as Data Research Analysts.

cset.georgetown.edu

Trump's AI Action Plan promises to put AI innovation first and safety second, but this is a false dichotomy. In my new piece for The National Interest, I explain why innovation can't happen without safety, and how government can help industry regulate itself. 🧵 (1/7)

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📊NEW: Take a peek under the hood of CSET’s cutting-edge data resources! Patents give us a window into the innovation pipeline, tracing research to commercialization. Our new data snapshot previews our enhanced clustering algorithm for patents and finding areas of innovation!

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Antimicrobial resistance is a huge issue and an oft-forgotten killer. It kills more people each year than HIV/AIDS or malaria. This article is fascinating- it points out that while much of the AMR prevention discussion focuses on overuse of antimicrobials, underuse can also be a major issue.

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In @fortune.com, Miriam Vogel and I propose two critical steps for US AI leadership: 1. National AI literacy initiative — empowering Americans to recognize and effectively use AI in daily life 2. AI "black box" incident reporting systems — turning failures into industry-wide improvements

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The future of AI leadership requires thoughtful policy. @CSETGeorgetown just submitted our response to @NSF's RFI on the Development of an Artificial Intelligence Action Plan. Here's what we recommend: 🧵[1/]

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Lately it sometimes feels like there are only 2 AI futures on the table—insanely fast progress or total stagnation. Talked with @axios.com's Alison Snyder at SXSW about the many in-between worlds, and all the things we can be doing now to help things go better in those worlds.

U.S. AI policy in Trump’s first month — VP Vance lays out AI plan at Paris summit, workforce cuts hit science and AI staff, Trump’s AI EO, an “America First Trade Policy,” and Stargate Learn more by subscribing at policy.ai and get regular updates on CSET's work.

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Testing "explainable AI" isn't as simple as it seems. After reviewing 81 papers on AI recommendation systems, research shows most only test if systems are built to spec, but skip crucial real-world effectiveness testing. We need both. Time to raise the bar.

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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: