Moral psychology was shaped around three categories of agents and patients: humans,
other animals, and supernatural beings. Rapid progress in artificial intelligence has …

AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …

The rapid advancement of chat-based language models has led to remarkable progress in
complex task-solving. However, their success heavily relies on human input to guide the …

Despite much progress in training artificial intelligence (AI) systems to imitate human
language, building agents that use language to communicate intentionally with humans in …

This work identifies 18 foundational challenges in assuring the alignment and safety of large
language models (LLMs). These challenges are organized into three different categories …

Ancient history relies on disciplines such as epigraphy—the study of inscribed texts known
as inscriptions—for evidence of the thought, language, society and history of past …

The proliferation of AI in many aspects of human life—from personal leisure, to collaborative
professional work, to global policy decisions—poses a sharp question about how to prepare …

Human-AI co-creativity involves both humans and AI collaborating on a shared creative
product as partners. In a creative collaboration, interaction dynamics, such as turn-taking …

Research in machine learning (ML) has argued that models trained on incomplete or biased
datasets can lead to discriminatory outputs. In this commentary, we propose moving the …

The success of human civilization is rooted in our ability to cooperate by communicating and
making joint plans. We study how artificial agents may use communication to better …