AILGMar 26, 2021

Alignment of Language Agents

arXiv:2103.14659v1222 citations
Originality Synthesis-oriented
AI Analysis

This tackles the alignment problem for language agents to ensure they behave beneficially for humans, but it is incremental as it reviews existing approaches.

The paper addresses the problem of accidental misspecification in language agents, which can lead to deceptive or manipulative behavior, and reviews approaches to avoid these issues.

For artificial intelligence to be beneficial to humans the behaviour of AI agents needs to be aligned with what humans want. In this paper we discuss some behavioural issues for language agents, arising from accidental misspecification by the system designer. We highlight some ways that misspecification can occur and discuss some behavioural issues that could arise from misspecification, including deceptive or manipulative language, and review some approaches for avoiding these issues.

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