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...
Human cognitive biases present in Artificial IntelligenceMartínez, NaroaAgudo, UjuéMatute, HelenaRevista Internacional de los Estudios Vascos
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 i...
Precision Medicine implies a deep understanding of inter-individual differences in health and disease that are due to genetic and environmental factors. To acquire such understanding there is a need for the implementation of different types of technologies based on artificial intelligence (AI) that enab...
Over the past few years, society has started to wrestle with just how much these human biases can make their way into artificial intelligence systems — with harmful results. At a time when many companies are looking to deploy AI systems across their operations, being acutely aware of those ...
Artificial Intelligence (AI) is penetrating all the domains worldwide and healthcare is no exception. Due to the huge amount of returns on investment in the AI systems developed for healthcare, a huge amount of investments are underway. Though big leaps in the application of healthcare cannot ...
Artificial intelligence (AI) has undergone a renaissance recently, making major progress in key domains such as vision, language, control, and decision-making. This has been due, in part, to cheap data and cheap compute resources, which have fit the natural strengths of deep learning. However...
As artificial intelligence gets better at giving humans what they want, it also could get better at giving malicious humans what they want. That's one of the concerns driving new research by University of Delaware researchers,publishedin March in the journalScientific Reports. ...
Automated underwriting is a process used in mortgage and insurance industries to evaluate risk and determine whether to approve or deny an application. It uses artificial intelligence (AI) and machine learning (ML) to make decisions based on data such as credit scores, leverage and other observable...
Recently, there has been a growing interest in automated age estimation using artificial intelligence (AI) technology16. The current platforms use machine-learning algorithms based on training with a large set of photos to achieve the most accurate performance in age estimations. The current interest...