当人工智能看到更热的时候:大语言模型气候评估中的高估偏差
1City University of Hong Kong, Hong Kong.
Public understanding of science (Bristol, England)
|July 13, 2025
概括
大型语言模型 (LLM) 在气候评估中表现出高估偏差,与专家共识相比,夸大了影响. 当LLM模拟气候科学家时,这种偏见就会加剧,强调需要与科学发现保持一致.
科学领域:
- 人工智能与气候科学 人工智能与气候科学
- 大型语言模型中的偏差.
- 科学沟通科学沟通
背景情况:
- 大型语言模型 (LLM) 越来越多地用于信息合成,但人们担心它们有可能编码和放大培训数据中存在的社会偏见.
- 气候变化评估需要准确地代表科学共识,以告知政策和公众的理解.
研究的目的:
- 调查LLM产生的气候变化影响评估中高估偏差的存在和程度.
- 将LLM的成果与政府间气候变化小组 (IPCC) 的专家共识数据进行比较.
- 确定是否要求LLM在特定专家角色中加剧这种偏见.
主要方法:
- 使用非参数统计方法来分析和比较数据.
- 来自IPCC 2023年综合报告的专家评级被用作科学共识的基准.
- 来自GPT家族LLM的答案被系统地与专家评级对比进行了评估.
主要成果:
- 劳动法师表现出一个系统的倾向,高估了气候变化的影响.
- 这种高估偏差在LLM被要求充当气候科学家时变得更加明显.
- 在LLM产生的评估中观察到与专家共识的显著偏差.
结论:
- 由LLM生成的气候评估需要仔细验证,以确保与已建立的科学共识保持一致.
- 这些发现凸显了对减轻人工智能驱动科学传播偏见的方法的关键需求.
- 解决LLM偏见对于防止公众误解和促进有关气候变化的知情话语至关重要.
更多相关视频
09:09Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
Published on: September 27, 2024
536
12:26Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
Published on: October 11, 2016
13.4K
相关概念视频
What is Climate?
18.9K
Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
18.9K
Global Climate Change
24.8K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
24.8K
Confirmation Biases
7.2K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
7.2K
Fundamental Attribution Error
13.3K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
13.3K
Bias in Epidemiological Studies
695
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
695
Hindsight Biases
3.9K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
3.9K
