Our work builds on previous research examining gender bias in LLMs, with a specific focus on the manifestation of sexualized violence against women in LLM outputs, an area that has received little attention. We discuss the mitigation approaches such as content filtering and moderation; user ...
The bias is all the more surprising given that women in fact formed the heart of the computing industry in the UK and the US from 1940s to the 1960s. “Computers used to be people, not machines,” says Rankin. “And many of those computers were women.” But as they were pushed out...
Computer SciencePotapov, A., Rodionov, S., Myasnikov, A., Begimov, G.: Cognitive Bias for Universal Algorithmic Intelligence (2012). arXiv:1209.4290v1 [cs.AI]Potapov, A., Rodionov, S., Myasnikov, A., Galymzhan, B.: Cognitive Bias for Universal Algorithmic Intelligence. SarXiv:...
Algorithmic bias refers to the systemic and repeatable errors in a computer system that create unfair outcomes, such as privileging one arbitrary group of users over others. It's a prevalent concern today, with artificial intelligence (AI) and machine learning (ML) applications increasingly permeatin...
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filtering processes in detail, show how personalization connects to other filtering techniques, and show that both human and technical biases are present in today’s emergent gatekeepers. We use the existing literature on gatekeeping and search engine bias and provide a model of algorithmic gatekeeping...
So how do we implement AI ethics in medicine to reduce bias and retain control over algorithms? The computer science principle "garbage in, garbage out" applies to AI. Suppose we collect biased data from small samples. Our AI algorithms will likely be biased and not replicable in another clin...
Schechter and colleagues call this tendency to accept computer-generatedadvicewithout an eye to its quality as automation bias. Understanding how and why human decision-makers defer to machine learning software to solve problems is an important part of understanding what could go wrong in modern work...
Bias Predictive Modeling Coursera Plus View more details Jan 6th 2025 Course Auditing Coursera Fred Hutchinson Cancer Center Computer Science Beginner 4 Weeks 1-4 Hours/Week 45.00 EUR English English Recommender Systems: Behind the Screen (edX) How are items recommended when you’...
Building on this line of reasoning, computer-based algorithms have been publicly hailed as the next frontier in eliminating bias (Loehr, 2015). Whereas human decision makers are prone to judgment errors due to biases derived from intuition and other heuristics (e.g., Gilovich, Griffin, & Kahnem...