Artificial intelligence recommendations are sometimes erroneous and biased. In our research, we hypothesized that people who perform a (simulated) medical diagnostic task assisted by a biased AI system will reproduce the model's bias in their own decisions, even when they move to a context without...
Machine Learning (ML), a subfield of Artificial Intelligence (AI), is being increasingly used in Orthodontics and craniofacial health for predicting clinical outcomes. Current ML/AI models are prone to accentuate racial disparities. The objective of this narrative review is to provide an overview of...
When an artificial intelligence system is trained with data that does not represent the diversity of the reality and population groups to which an AI tool is to be a pplied42, the model will produce undesirable effects due to the difficulty in generalising its predictions to social groups ...
"This technology affects our lives every single day," Waters said. "It can be the difference between someone getting a cancer treatment and not. So when it gets down to that level, it's about someone living or not based on a decision made by a technology implement." W...
Artificial intelligence (AI) is revolutionizing pain management by enabling personalized care and enhancing clinical decision-making. AI systems, designed to perform tasks such as data processing, ...
When we refer to artificial intelligence, we usually mean machine learning. This is due to machine learning’s sheer popularity and practical applications. Consequently, when we refer to Responsible AI, a governance framework promoting transparency and democratization in machine learning applications is ...
Weights & Biases operates as an artificial intelligence (AI) developer platform that provides tools for machine learning and artificial intelligence. Use the CB Insights Platform to explore Weights & Biases's full profile.
The research delves into whether non-human entities such as AI can facilitate less biased information processing due to their perceived impartiality. Applying a moderated mediation model in experimental settings, we found that labeling a source as artificial intelligence is pivotal in evaluating fact-...
Motivated by these needs, the eXplainable Artificial Intelligence (XAI) field has attracted attention in recent years, becoming a tool to provide insights into DL models’ behavior. Many explainability techniques already exist in the CV field [7,8,9,10], the goal of which is to pinpoint the...
Myths aside, artificial intelligence is as prone to bias as the human kind. The good news is that the biases in algorithms can also be diagnosed and treated. (PDF-4 MB) Companies are moving quickly to apply machine learning to business decision making. New programs are constantly b...