Online
9 Mar – 31 Aug 2028
Competition run by Schmidt Sciences, NDIF, and Cadenza Labs advancing lie detection in LLMs. Red teams create datasets of on-policy LLM lies while blue teams build detection methods. Selected teams receive $10,000–$25,000.
By Schmidt Sciences, NDIF, and Cadenza Labs
Free
Register by 31 Aug 2028
Online
24 – 26 Jul 2028
3-day sprint by Apart Research bringing together participants to research the detection of hidden objectives or loyalties in AI systems. Includes mentorship and potentially a pathway into the Apart Lab Fellowship for continued research support and publication.
By Apart Research
Pay to attend
Apply by 24 Jul 2028
7 upcoming events online
June 2028
Online
18 Jun – 19 Sept 2028
Contest by Alignment Research Center (ARC) and AIcrowd to improve estimation algorithms for random MLPs. Includes a total prize pool of at least $100,000, focused on white-box methods leveraging model internals.
By Alignment Research Center (ARC)
Free
Register by 19 Sept 2028
Online
29 Jun – 26 Jul 2028
AI lie detection challenge by Cadenza Labs, NDIF, and Schmidt Sciences where teams build detectors for LLMs induced to lie, with white-box and black-box tracks. Teams with the best-performing and most innovative methods will share a $50,000 prize pool.
By Cadenza Labs, NDIF, Schmidt Sciences
Pay to attend
Register by 20 Jul 2028
July 2028
Online
23 Jul 2028
Niklas Lauffer (UC Berkeley) presents Rational Policy Gradient, an approach to adversarial training in cooperative multi-agent settings that keeps agents rational, prevents self-sabotage, and finds adversarial examples to improve robustness.
By Cooperative AI Foundation
Free
Online
24 – 26 Jul 2028
3-day sprint by Apart Research bringing together participants to research the detection of hidden objectives or loyalties in AI systems. Includes mentorship and potentially a pathway into the Apart Lab Fellowship for continued research support and publication.
By Apart Research
Pay to attend
Apply by 24 Jul 2028
Online
27 – 29 Jul 2028
Symposium on the intersection of algorithmic information theory (AIT) and machine learning, focused on AIT applications to AI safety theory and practice. Topics include Solomonoff induction, Kolmogorov complexity, embedded agency, and imprecise probability.
Pay to attend
Register by 24 Jul 2028
