Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...
Artificial intelligence, if carefully designed, could significantly reduce emergency vehicle delays in congested cities ...
Abstract: A method for evaluating the fairness of machine learning is specified in this standard. Multiple causes contribute to the unfairness of machine learning. These causes of machine learning ...
Artificial Intelligence (AI) systems are increasingly embedded in high-stakes decision-making across domains such as healthcare, finance, criminal justice, and employment. Evidence has been ...
According to @timnitGebru, prominent AI ethics researcher, there remains a significant concern regarding bias and harmful stereotypes perpetuated by AI systems, especially in natural language ...
According to @timnitGebru, prominent AI ethics researcher, there remains a significant concern regarding bias and harmful stereotypes perpetuated by AI systems, especially in natural language ...
ABSTRACT: Artificial Intelligence (AI) has emerged as a transformative force in various industries, including law, healthcare, finance, and governance. However, AI’s potential benefits come with ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows. The library can be deployed in training and scoring ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
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