Most AIs are sycophants. What if we built antagonistic AI? 😈 Check out our working paper (w/ @_alicecai and @roboticwrestler ) wherein we argue that we should explore AI that are purposefully antagonistic towards users. No, seriously: (1/10)
Happy to announce that come January, I will start as an Assistant Professor of Human-Computer Interaction at the University of Montreal! There, I will conduct research at the intersection of programming, HCI, and AI. Excited to become a Canadian again! 🇨🇦
Shocking, esp. since CoPilot's training set probably contains an over-representation of code examples derived from programming homework assignments in 200 level CS classes
Hi folks, Montréal HCI is (still) recruiting! 🇨🇦 We are looking to hire PhD students excited research human-AI interaction, on topics including AI memory, pen-based interfaces and notation, and creative support in writing and game design. Reach out and feel free to share widely!
Wrote up some thoughts on a growing problem I see with HCI conference submissions: the influx of what can only be called LLM wrapper papers, and what we might do about it. Here is "LLM Wrapper Papers are Hurting HCI Research":
Reviewing CHI papers be like: “The rise of LLMs has revolutionized… Yet, X task has not yet benefited from LLMs… We apply a novel LLM-based solution to X… We conducted a within-subjects user study against a non-LLM baseline, finding our solution makes X faster and easier”
Happy to announce that, upon starting as an Assistant Prof at the University of Montréal, I will become an official associate of the MILA-Quebec AI Institute! 🥳🎉 (Thanks to my future colleagues for making this happen!)
For anyone doubting these dynamics: Adrian Piper wrote a book about her tenure “process” and subsequent “escape” from the US to live in Germany. The academic dynamics in the US were so traumatic and dehumanizing, she refuses to ever come back: adrianpiper.com/books/Escape_T…
The one paper I can't stop thinking about from #CHI2024 is the nocebo effect paper: "The Placebo effect is robust to negative descriptions of AI". This was really stellar work with wide ramifications for the field. Should've gotten Best Paper. arxiv.org/abs/2309.16606
