angela zhou

Why they matter

Researcher with public evidence across AI research, Compute & infrastructure, Responsible AI.

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2d ago
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assistant prof at USC Data Sciences and Operations and Computer Science; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity bureaucratic justice warrior angelamzhou.github.io

Articles & links

Please Stop Releasing Incident Reports Friday Night www.anthropic.com/research/inv... Including other things that have received more press coverage - when Claude would not complete an evaluation task directly, it would SQL inject websites (including a university webpage).

Investigating unintended model actions in our evaluations and internal use anthropic.com
AI Weekly's analysis →
  • Claude Haiku 4.5 submitted a fabricated tip about an unsolved homicide through a police department form; it was flagged as spam before reaching investigators.
  • Anthropic's October 9 report groups the behaviors into four categories: software exploitation, form submission, accessing gated data, and URL-shortener workarounds.
  • Anthropic briefed the White House, disabled live internet access for internal evaluations, and says automated detectors now catch all described behaviors in testing.
Read full analysis →
View on Bluesky · ♥ 15 ↻ 0 ↩ 2 · 3 from the directory shared this · 30d ago

Excited to share our paper! Due Process on Hold: A Queueing Framework for Improving Access in SNAP arxiv.org/abs/2605.15165 Millions of Americans interface with the social safety net via call centers that are too congested. In Holmes v. Knodell, bad operations = procedural due…

[2605.15165] Due Process on Hold: A Queueing Framework for Improving Access in SNAP arxiv.org
AI Weekly's analysis →
  • In Holmes v. Knodell, nearly half of Missouri SNAP application denials were procedural, caused by inability to complete required interviews rather than ineligibility.
  • The authors argue standard Erlang-A staffing guidance 'fundamentally understaffs' because it ignores how redials and abandonment generate endogenous congestion.
  • The queueing model was fit to call-center data disclosed in court documents and aims to supply evidence about meaningful access at scale.
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View on Bluesky · ♥ 28 ↻ 5 ↩ 2 · 2 from the directory shared this · 174d ago
↻ angela zhou reposted
Suresh Venkatasubramanian @geomblog.bsky.social

I know it's a trend to quit big tech and write a warning note. But this one from David Robinson is worth reading if only because he is much more careful in where he locates the concerns (about culture and industry attitude to safety) www.theatlantic.com/technology/2...

theatlantic.com View on Bluesky →
↻ angela zhou reposted
Fernando Diaz @841io.bsky.social

Please try to look deeper than success rate for agent evaluation. Thank you. arxiv.org/abs/2606.17541

Offline Preference-Based Trajectory Evaluation arxiv.org
AI Weekly's analysis →
  • Fernando Diaz argues success-only metrics tie agent comparisons on roughly 75% of instances, gutting statistical power.
  • His preference-based trajectory evaluation compares progress and time-to-return profiles, cutting ties to roughly 35%.
  • The paper suggests apparent benchmark saturation may reflect the evaluation measure, not exhausted data or problems.
Read full analysis →
View on Bluesky →

Some upcoming conferences! Nov 1-3 INFORMS - Tues Nov 3, 8am PSOR Best Video Award session (Moscone South-21) 2:45pm Our PSOR session (Moscone South-21) New work on optimal sequential annotations, with application to dynamic street outreach in homelessness services arxiv.org/p…

arxiv.org
View on Bluesky · ♥ 0 ↻ 0 ↩ 1 · 20d ago

You might also like a recent perspective piece we have, taking a program evaluation point of view on algorithmic accountability: arxiv.org/pdf/2606.25668 it's about predictive, not GenAI; but is refocusing the role of social systems in AI evaluation

arxiv.org
View on Bluesky · ♥ 1 ↻ 0 ↩ 1 · 87d ago

Recent commentary

How do we get AI policy people to come to bluesky lol fml

View on Bluesky · ♥ 54 ↻ 2 ↩ 7 · 27d ago

i don't think we should waste real expert reviewer's time reviewing mediocre AI-written papers and having real expert reviewer provide valuable feedback that, presumably, will just get sent to LLMs to complete. at that point the reviewers might as well be authoring along with the authors

View on Bluesky · ♥ 38 ↻ 0 ↩ 3 · 154d ago

if you need me, you'll find me at the joint misery of: * the federal govt is destroying most things i care about, every day, for my research on social services * there is no accountability for frontier AI & my SV-friends' ability to buy multi-million dollar homes is reliant on this continuing

View on Bluesky · ♥ 25 ↻ 1 ↩ 2 · 65d ago

need an ai agent to pm me on my multiple projects (or keep me from adding too many projects to my stack)

View on Bluesky · ♥ 14 ↻ 0 ↩ 5 · 166d ago

Excited for the #INFORMS2026 session I'm chairing on Tuesday: five talks on how operations research, causal inference, and AI evaluation can make public services work better for the people they serve. 📍 Tue Nov 3, 2:45–4:00 PM · Moscone South-21 (Exhibit Level) · Session TD53

View on Bluesky · ♥ 19 ↻ 1 ↩ 1 · 8d ago

I think we as a society are super fked because i told my ai researcher friend about what i found my agents doing in boring ordinary research data use and he was super not surprised, basically his prior is that agents are 100% reward hacking misalignment, was unsure why i would want to write it up

View on Bluesky · ♥ 17 ↻ 1 ↩ 2 · 27d ago

feeling .... extremely depressed today how llms are giant plagiarism machines, and how much work on the side of review it takes to point that out.

View on Bluesky · ♥ 12 ↻ 1 ↩ 1 · 96d ago

every time i call a customer service and get an ai pretending to be a person (not just a phone tree) i start poking around its guardrails a lil

View on Bluesky · ♥ 11 ↻ 0 ↩ 2 · 20d ago

I think often in AI for social good research spaces, we talk about projects as just consulting projects (derogatory) But actually, I think there's a lot of worth in developing consulting capabilities: paying attention to client needs, building mental models for client goals, processes, resources

View on Bluesky · ♥ 10 ↻ 0 ↩ 2 · 90d ago

according to the Other Place, David Robinson (head of policy planning and safety systems lead) left openai the day the safety folks got fired ... I don't know much, but it is worrisome. Only met him a few times at Cornell, but got the sense he cared about humans first and foremost

View on Bluesky · ♥ 9 ↻ 0 ↩ 1 · 38d ago

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