Listen to Professor Mike Wooldridge (@wooldridgemike) on the @newscientist discussing how anxieties around AI distract us from the more immediate risks that the technology poses such as algorithmic bias & fake news. Listen here: institutions.newscientist.co… #compscioxford #OxfordAI

This Black History Month, we celebrate Deborah Raji (@rajiinio), a cognitive scientist, AI researcher and Mozilla Fellow who collaborated with our founder @jovialjoy at the MIT Media Lab and AJL to audit commercial facial recognition technologies from Microsoft, Amazon, IBM, and more, and appeared in the documentary Coded Bias. Deborah's work has significantly contributed to the understanding of facial recognition technologies and their impact on marginalized communities.

TODAY: Our Director of Responsible AI Practice @ccansu will discuss #ResponsibleAI, defining goals for #AI projects and how to find expert #AIguidance with @eric_kavanagh on Inside Analysis at 3 p.m. EDT. Register for free! bit.ly/3UDESTe #RAI #AIwebinar

As our celebration of Black History Month continues, we're shining a light on @timnitGebru, the co-founder of @black_in_ai and the founder and executive director of the Distributed Artificial Intelligence Research Institute (DAIR). Her groundbreaking research on algorithmic bias has been instrumental in highlighting the need for more diverse perspectives in AI development. Learn more about her work at dair-institute.org and blackinai.org.

"The moment he told them he's going to join us, they quadrupled his offer" - Perplexity CEO @AravSrinivas on recruiting from Google (k, here's the video)

'US says leading #AI companies join safety consortium to address risks' hpe.to/6019Vhpr7

FTC’s rule update targets deepfake threats to consumer safety dlvr.it/T2qPKQ #Technology #Law #UnitedStates #Deepfake #AI

GitHub: AI helps developers write safer code, but basic safety is crucial dlvr.it/T2qRrT

Ready to take your AI safety research to the next level? UK & Canadian researchers can apply for an exchange programme. Here’s the details: 💷 £3,500 grant for logistical fees 🎓open to PhD & post-doctoral students 📅 applications close 26 March Apply now mitacs.ca/our-programs/globa…

The Monster group, also known as the Fischer-Griess Monster, is a very large structure in mathematics, particularly in group theory. It stands as the largest of the 26 sporadic finite simple groups, boasting around 8.08 x 10⁵³ elements. Discovered through the collaborative efforts of Bernd Fischer and Robert Griess in the 1970s, with Griess later fully constructing it in 1982, this group is notable not only for its colossal size but also for its intricate structure, encapsulated in the 196,883-dimensional Griess algebra. The Monster group's significance transcends pure mathematics; it plays a pivotal role in connecting disparate fields such as number theory, algebraic geometry, and theoretical physics, particularly through its involvement in the Monstrous Moonshine conjecture. This conjecture, which highlights deep connections between the Monster group and modular functions, was proven by Richard Borcherds, leveraging techniques from string theory and earning him a Fields Medal. Thus, the Monster group exemplifies the profound interconnectivity within mathematics and its unexpected relevance to understanding the fundamental structures of the universe.

leading to research that cuts corners, lacks validity, fails to serve or even harms impacted communities, and generates data but not knowledge. We urge human subjects researchers to engage with on build on best practices for participatory research (ex arxiv.org/abs/2209.07572)8/10

New paper from my group: "Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models" arxiv.org/abs/2402.08955 Thread below 🧵 (1/6)

The latest release (v0.1.5) of the ntqr Python package is out - building out the logic of evaluation in unsupervised settings so we can have provably safe evaluations of noisy agents when we give them tests for which we have no answer keys! ntqr.readthedocs.org/en/late…

Join @ccansu tomorrow, Feb. 15, 2024 at 6 p.m. EDT for her talk “Integrating Ethics into AI Innovation” as part of the @NUPoliSci and @NU_PolicySchool's Spring 2024 “Security and Resilience Speaker Series.” Register to attend for free: bit.ly/3whqCWh

Any intelligent being, whether human or robotic, would benefit from understanding the logic of evaluation in unsupervised settings to protect itself from its own mistakes. Check out how we are building it, ntqr.readthedocs.org/en/late…

🎥 Watch the full recording and continue the discussion: youtube.com/watch?v=M2nzXCIW… 🔗 Visit the website: alignment-workshop.com/nola-… 🚀 Join us in building AI that's trustworthy and beneficial for all! Explore career opportunities at far.ai/jobs/

If you believe, like @steveom and @tegmark , that we should have provably safe AI, check out the logic of evaluation in unsupervised settings that we have been building since 2010 with our first patent. ntqr.readthedocs.org/en/late…

The future is already here. We have been building it since 2010 with our first patent for unsupervised evaluation. ntqr.readthedocs.org/en/late…

GenAI brings new challenges, like deepfakes and misinformation threats. @ActiveFence is at the forefront, proactively leading the way in #AI #safety solutions. Check out our latest @TechCrunch article with @GroveVentures. techcrunch.com/2024/02/10/sa…

CALL FOR PAPERS: Here it is, the call for papers for early career scholars to speak at The Lyceum Project - our AI Ethics with Aristotle conference taking place on June 20th, 2024 in Athens, Greece. Deadline for submissions is April 30th. Apply now! oxford-aiethics.ox.ac.uk/lyc…