1 citations · 1 across the 3 of their papers we have counts for
3 papers
Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value
Joe Edelman, Tan Zhi-Xuan, Ryan Lowe +30
Beneficial societal outcomes cannot be guaranteed by aligning individual AI systems with the intentions of their operators or users. Even an AI system that is perfectly aligned to…
MetaCOG: A Hierarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations
Marlene D. Berke, Zhangir Azerbayev, Mario Belledonne +2
Humans have the capacity to question what we see and to recognize when our vision is unreliable (e.g., when we realize that we are experiencing a visual illusion). Inspired by this…
Learning a metacognition for object perception
Marlene Berke, Mario Belledonne, Julian Jara-Ettinger
Beyond representing the external world, humans also represent their own cognitive processes. In the context of perception, this metacognition helps us identify unreliable percepts,…