🔥 Đang khởi động dự án mã nguồn mở về giảm thiên lệch và cân bằng an toàn cho mô hình LLM. Mục tiêu: giảm bias mà vẫn giữ ổn định, an toàn. Mời mọi người quan tâm tham gia cộng đồng, đóng góp ý tưởng và mã nguồn. #AI #OpenSource #Debiasing #LLM #CôngNghệ #TríTuệNhânTạo #CộngĐồng

https://www.reddit.com/r/LocalLLaMA/comments/1qmpg6f/kickstarting_an_opensource_project_debiasing/

A 2021 paper in a pay-to-publish #Nature journal claimed #mindfulness tasks (notice 3 things around you or differences between 2 similar images) reduced some cognitive #biases: https://doi.org/10.1057/s41599-021-00712-1

The mindful #debiasing was undetected in a re-analysis and 2 replications: https://doi.org/10.1007/s12671-025-02575-y

Does awareness of intuition's fallibility help people avoid faulty intuitions?

#Teaching students #DualProcessTheory didn't help them avoid faulty intuitions about #physics problems.

https://doi.org/10.1103/PhysRevPhysEducRes.21.010135

#edu #cogSci #bias #debiasing #psychology #epistemology #rationality

More successful predictions of my #BoundedReflectivism & #EpistemicIdentity article from 2022?

From about 2017 or 2018, I reviewed evidence suggesting that reflective thinking often helps, but may even hinder our judgment depending on factors like whether we are reasoning based on shared identities and epistemic standards (https://doi.org/10.1111/meta.12534).

Years later Robb Willer et al. solicited ideas for debiasing political judgments. After years of testing 25 different interventions, their results are published in #Science: https://doi.org/10.1126/science.adh4764

They found that biased evaluations of politicized facts were impacted by both
- REFLECTION (on potential misperceptions of undemocratic actions) and
- shared IDENTITY cues (which could help *or* hinder!)

#decisionScience #politics #psychology #philosophy #epistemology #metaphilosophy #JDM #debiasing #chatBot

"Political #socialMedia ads labeled as from in-party sources and apparently non-partisan sources were trusted more than out-party sources.

So if you want to be sneaky just advertise under a name without any party connections"

That's a description from @mjbsp.bsky.social‬ about an #openAccess paper in #PoliticalPsychology by @tomstafford et al.: https://doi.org/10.1111/pops.13034

#politics #marketing #persuasion #journalism #decisionScience #nonPartisanship #socialPsychology #cogSci #bias #debiasing

This week's fifth and final post applies the reason-responsive #consequentialist view of rational inquiry to shed light on bounded #rationality, the Standard Picture, and the #epistemology of inquiry.

Thanks to #DavidThorstad for giving us a peak inside the book Inquiry under bounds (#OxfordUniversityPress 2024).

https://philosophyofbrains.com/2024/07/05/inquiry-under-bounds-part-5-applying-the-account.aspx

#philosophy #psychology #cogSci #decisionScience #economics #logic #philosophyOfScience #bias #debiasing

Applying the account

This post applies the reason-responsive consequentialist view of rational inquiry to shed light on bounded rationality and zetetic epistemology.

The Brains Blog

Does data visualization help people overcome mathematical biases like base rate neglect?

Not necessarily. In fact, one experiment on master’s students found that “when base rate information [was] presented visually, participants answered significantly more biased than when information [was] presented textually.“

https://doi.org/10.23947/2334-8496-2024-12-1-119-132

#probability #stats #edu #dataViz #bias #debiasing #argumentMapping

'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

http://jmlr.org/papers/v24/22-0834.html

#confounders #inferences #debiasing

High-Dimensional Inference for Generalized Linear Models with Hidden Confounding

Our pick of the week by Beatrice Savoldi: "Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model" Amrhein et al., 2023

https://arxiv.org/pdf/2305.11140.pdf

#NLProc #NLP #pickoftheweek #gender #bias #fair #fairness #debiasing #translation #MT

Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks

Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu

https://openreview.net/forum?id=JyKNuoZGux

#sampling #nodes #debiasing

Calibrate and Debias Layer-wise Sampling for Graph Convolutional...

Multiple sampling-based methods have been developed for approximating and accelerating node embedding aggregation in graph convolutional networks (GCNs) training. Among them, a layer-wise approach...

OpenReview