The concept of cognitive biases was introduced and popularized by the work of Amos Tversky and Daniel Kahneman since 1972. Biases are seen as systematic errors and flaws that make humans deviate from the standards of rationality, thus making us inept at making good decisions under uncertainty....
Negative emotion perception biases are associated with a range of psychiatric and behavioral problems, potentially due or as a result of difficult social interactions. Unfortunately, there is a poor understanding of whether observed negative biases are related to childhood trauma ...
Microaggressions are implicit biases manifesting themselves in interactions with other people. Even if you aren't actively making comments to someone, your subconscious biases still affect how you think about and interact with another person. When you have implicit bias against someone...
22 argue that, with the current stock of EEA studies, we should consider the possible selection biases in the availability of EEA studies. Generally, events with higher human and economic impacts will be more likely to be analyzed, events in high-income regions and more densely populated areas...
The second, by Joshua Greenberg, takes a more empirical approach to universality identifying traits ( ' , particularly in word order) shared by many language which are considered to represent biases that result from cognitive constraints. 出自-2012年考研翻译原文 The most famous of these efforts was...
The bias blind spot is a cognitive bias that causes people to be less aware of their own biases than of those of others, and to assume that they’re less susceptible to biases than others. For example, the bias blind spot can cause someone to assume that other people’s political stance...
There are inherent biases that traders and investors need to overcome to avoid the pitfalls of bear traps: Confirmation biasleads investors to favor information that affirms their preexisting beliefs or hypotheses. To combat this, traders should look for information that challenges their views on the...
PCA is used to infer the ancestry of individuals for various purposes, however a minimal sample size of one, may be even more subjected to biases than in population studies. We found that such biases can occur when individuals with Green (Fig. 23A) and Yellow (Fig. 23B) ancestries cluste...
Even state-of-the-art proprietary LLMs perpetuate historic biases41, cite inappropriate medical articles42 and fail to perform information-driven administrative tasks like medical coding43. Other attacks against LLMs have been developed and analyzed in recent years. During training or fine-tuning, ...
Latencies to each probe were compared between dogs where the positive goal was located on the left and those where it was on the right, to check for side biases, using a Mann–Whitney U test. The latency to the final rewarded bowl in the negative location was compared with the mean laten...