cognitive biases – Experimental News Clipping Site

Cloud Blog: BitM Up! Session Stealing in Seconds Using the Browser-in-the-Middle Technique

Mar 17, 2025

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Source URL: https://cloud.google.com/blog/topics/threat-intelligence/session-stealing-browser-in-the-middle/ Source: Cloud Blog Title: BitM Up! Session Stealing in Seconds Using the Browser-in-the-Middle Technique Feedly Summary: Written by: Truman Brown, Emily Astranova, Steven Karschnia, Jacob Paullus, Nick McClendon, Chris Higgins Executive Summary The Rise of Browser in the Middle (BitM): BitM attacks offer a streamlined approach, allowing attackers to quickly compromise sessions…

The Register: Surprise! People don’t want AI deciding who gets a kidney transplant and who dies or endures years of misery

Mar 8, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://www.theregister.com/2025/03/08/ai_kidney_transplant_moral_decisions/ Source: The Register Title: Surprise! People don’t want AI deciding who gets a kidney transplant and who dies or endures years of misery Feedly Summary: Researchers find AI isn’t ready to help with moral decision making Is AI an appropriate source of moral guidance about which patients should be given kidney transplants?……

Hacker News: The LLMentalist Effect

Feb 8, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://softwarecrisis.dev/letters/llmentalist/ Source: Hacker News Title: The LLMentalist Effect Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text provides a critical examination of large language models (LLMs) and generative AI, arguing that the perceptions of these models as “intelligent” are largely illusions fostered by cognitive biases, particularly subjective validation.…

Hacker News: Explaining Large Language Models Decisions Using Shapley Values

Dec 28, 2024

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system automation

in Uncategorized

Source URL: https://arxiv.org/abs/2404.01332 Source: Hacker News Title: Explaining Large Language Models Decisions Using Shapley Values Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper explores the use of Shapley values to interpret decisions made by large language models (LLMs), highlighting how these models can exhibit cognitive biases and “token noise” effects. This work…

Tag: cognitive biases

Cloud Blog: BitM Up! Session Stealing in Seconds Using the Browser-in-the-Middle Technique

The Register: Surprise! People don’t want AI deciding who gets a kidney transplant and who dies or endures years of misery

Hacker News: The LLMentalist Effect

Hacker News: Explaining Large Language Models Decisions Using Shapley Values