A social path to human-like artificial intelligence
EA Duéñez-Guzmán, S Sadedin, JX Wang… - Nature Machine …, 2023 - nature.com
Traditionally, cognitive and computer scientists have viewed intelligence solipsistically, as a
property of unitary agents devoid of social context. Given the success of contemporary …
property of unitary agents devoid of social context. Given the success of contemporary …
Meta-learned models of cognition
Psychologists and neuroscientists extensively rely on computational models for studying
and analyzing the human mind. Traditionally, such computational models have been hand …
and analyzing the human mind. Traditionally, such computational models have been hand …
Human-level play in the game of Diplomacy by combining language models with strategic reasoning
Meta Fundamental AI Research Diplomacy Team … - Science, 2022 - science.org
Despite much progress in training artificial intelligence (AI) systems to imitate human
language, building agents that use language to communicate intentionally with humans in …
language, building agents that use language to communicate intentionally with humans in …
Imitating human behaviour with diffusion models
Diffusion models have emerged as powerful generative models in the text-to-image domain.
This paper studies their application as observation-to-action models for imitating human …
This paper studies their application as observation-to-action models for imitating human …
Human-timescale adaptation in an open-ended task space
Foundation models have shown impressive adaptation and scalability in supervised and self-
supervised learning problems, but so far these successes have not fully translated to …
supervised learning problems, but so far these successes have not fully translated to …
Human-centred mechanism design with Democratic AI
Building artificial intelligence (AI) that aligns with human values is an unsolved problem.
Here we developed a human-in-the-loop research pipeline called Democratic AI, in which …
Here we developed a human-in-the-loop research pipeline called Democratic AI, in which …
Human-timescale adaptation in an open-ended task space
Foundation models have shown impressive adaptation and scalability in supervised and self-
supervised learning problems, but so far these successes have not fully translated to …
supervised learning problems, but so far these successes have not fully translated to …
Student of Games: A unified learning algorithm for both perfect and imperfect information games
Games have a long history as benchmarks for progress in artificial intelligence. Approaches
using search and learning produced strong performance across many perfect information …
using search and learning produced strong performance across many perfect information …
Decision-oriented dialogue for human-ai collaboration
We describe a class of tasks called decision-oriented dialogues, in which AI assistants such
as large language models (LMs) must collaborate with one or more humans via natural …
as large language models (LMs) must collaborate with one or more humans via natural …
Large language models as zero-shot human models for human-robot interaction
Human models play a crucial role in human-robot interaction (HRI), enabling robots to
consider the impact of their actions on people and plan their behavior accordingly. However …
consider the impact of their actions on people and plan their behavior accordingly. However …