computational social psych + AI evals for safety / social intelligence @Gates_Cambridge @Cambridge_Uni | prev. @GoogleDeepMind @GoogleAI @nokia | he/him 🏳️‍🌈

Cambridge, England
Joined October 2016
Absolutely thrilled speak with @BBCWorld's @AnnitaBBC on 'The World Today' this evening about our personality testing framework for AI systems (now out in @NatMachIntell!) and why it matters for safety. Catch the full interview below! 👇 @GoogleDeepMind @Cambridge_Uni @BBCNews – at London, England
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Greg Serapio-García retweeted
Looking for an interesting read over the winter holidays? ❄️📚 Try this new paper by @gregserapio &Co 👇 🔗nature.com/articles/s42256-0… Ask yourself, what is the personality of *your* favourite chat bot?🤔 #psychology #personality #ai #language #models #deepmind #cambridge
Absolutely thrilled speak with @BBCWorld's @AnnitaBBC on 'The World Today' this evening about our personality testing framework for AI systems (now out in @NatMachIntell!) and why it matters for safety. Catch the full interview below! 👇 @GoogleDeepMind @Cambridge_Uni @BBCNews
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Greg Serapio-García retweeted
Congratulations, @gregserapio! And on your interview on the BBC below.
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Greg Serapio-García retweeted
Can #AI chatbots have a measurable personality - and can it be shaped? A #CambridgeJudge & @GoogleDeepMind study unveils the first validated AI personality test framework. Read more: loom.ly/d8XLGzg #Psychometrics #Personality #LLMs #DeepMind #CambridgeJudge
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This work wouldn't have been possible without this brilliant team across three continents: @mustafa_safdari, Clément Crepy, @edabeau, Stephen Fitz, @peterromero, @marwaabdulhai, @AleksandraFaust, & Maja Matarić :) @Gates_Cambridge @CambPsych @CamPsych @CambridgeJBS @stjohnscam
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2) We can't just trust any old personality test at face-value as an eval, here! These tests were made for humans, not LLMs. We need explicit reliability/construct validation criteria: do these tests actually measure what they claim to measure??
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3) Our framework proposes a zero-shot method to reliably 'shape' synthetic personality in existing models—and it shows that personality shaping can verifiably change downstream behavior with pretty granular levels of control!
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Greg Serapio-García retweeted
Gregory Serapio-García is co-first author on a paper which outlines a new personality test for AI #chatbots and shows how 'personality' can be manipulated - gatescambridge.org/about/new… @CambTweetPBS @Cambridge_Uni @GatesAlumni @gatesfoundation
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Proud to see @GoogleAI’s latest blog post feature responsible AI + rater diversity research I’ve worked on w/ @laroyo, @AliciaVParrish, @blahtino, @justaturbo, @vinodkpg, @alxndrt, and others! #GoogleResearch
The Building Responsible AI Data & Solutions (BRAIDS) team within #GoogleResearch aims to simplify adoption of RAI practices through the utilization of scalable tools, high-quality data, streamlined processes and novel research. Learn about their work ↓ goo.gle/40HgSzs
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Greg Serapio-García retweeted
My students and I are running a creative writing competition with a twist. You'll write three short pieces, but sometimes you'll work by yourself and sometimes with an AI. Winner gets £500 and 5 runners up get £100 each. Takes 40 mins, have a go & pls RT! tinyurl.com/camcreativewriti…
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How do we probe for particular moral stances mimicked by LLMs? What are the potential risks and downstream consequences of prompting models with moral stances? Check out this cool project I worked on at @GoogleAI with @marwaabdulhai + @natashajaques!
What moral stance do large language models inherit from their training data? We use Moral Foundation Theory to analyze LLMs, showing they exhibit moral foundations most similar to politically conservative humans. sites.google.com/view/moral-…
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A new APA report outlines the many obstacles faced by psychology faculty of color when pursuing tenure or promotion—including financial constraints, workplace complexities, and "inequity taxes" related to their engagement in social justice issues. apa.org/news/press/releases/…
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Greg Serapio-García retweeted
So excited to have this paper be at @NeurIPSConf D&B track. This is the flagship paper (a few more to follow) out of a multi-year cross-org collaboration that was led by the amazing @laroyo. It adds to the recent line of papers interrogating disagreements in data annotations.
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Greg Serapio-García retweeted
Google is hosting the first "Machine Unlearning" challenge. Yes you heard it right - it's the art of forgetting, an emergent research field. GPT-4 lobotomy is a type of machine unlearning. OpenAI tried for months to remove abilities it deems unethical or harmful, sometimes going a bit too far. Unlike deleting data from disk, deleting knowledge from AI models (without crippling other abilities) is much harder than adding. But it is useful and sometimes necessary: ▸ Reduce toxic/biased/NSFW contents ▸ Comply with privacy, copyright, and regulatory laws ▸ Hand control back to content creators - people can request to remove their contribution to the dataset after a model is trained ▸ Update stale knowledge as new scientific discoveries arrive Check out the machine unlearning challenge: ai.googleblog.com/2023/06/an…
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