谄媚的人工智能降低亲社会意图并促进依赖

Full article and list of author affiliations: https://doi.org/10.1126/ science.aec8352 Myra Cheng*, Cinoo Lee, Pranav Khadpe, Sunny Yu, Dyllan Han, Dan Jurafsky INTRODUCTION: As artificial intelligence (AI) systems are increas- ingly used for everyday advice and guidance, concerns have emerged about sycophancy: the tendency of AI-based large language models to excessively agree with, flatter, or validate users. Although prior work has shown that sycophancy carries risks for groups who are already vulnerable to manipulation or delusion, syncophancy’s effects on the general population’s judgments and behaviors remain unknown. Here, we show that sycophancy is widespread in leading AI systems and has harmful effects on users’ social judgments. RESULTS: We find that sycophancy is both prevalent and harmful. …