Human cognitive biases present in Artificial IntelligenceMartínez, NaroaAgudo, UjuéMatute, HelenaRevista Internacional de los Estudios Vascos
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...
This is a 1-page compilation of publicly available information with regards to Artificial Intelligence (AI), built in biases (coder bias, contextual bias, and AI learning bias) influencing AI, and risks including risks to people and populations to do with racist and far right driven AI systems...
tofield experimentsthat demonstrate how much these biases can affect outcomes. 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 ...
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...
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...
This often comes in a governance framework that we call Responsible AI, which aims to develop fair and trustworthy artificial intelligence applications. When we refer to artificial intelligence, we usually mean machine learning. This is due to machine learning’s sheer popularity and practical ...
Natural language processing (NLP) is a branch of artificial intelligence (AI) that assists computers in understanding, interpreting, and manipulating human language [1]. In recent years, the deep learning techniques have demonstrated promising results in narrowing down the gap between sequence-to-sequ...
Why it Matters:This bias can lead to hasty adoption without proper consideration or to resistance to change due to fear of negative consequences. Overcoming it:Leaders should focus on highlighting the long-term benefits of AI while addressing concerns and providing support during the transition. ...
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...