We study whether humans or machine learning (ML) classification models are better at classifying scientific research abstracts according to a fixed set of discipline groups. We recruit both undergraduate and postgraduate assistants for this task in separate stages, and compare their performance against ...
while a handful of studies have examined the question of whether people differ with respect to their judgements of human-created versus AI-created artworks, at noted
Machine learning systems are infiltrating our lives and are beginning to become important in our education systems. This article, developed from a synthesi
Whether machine-learning algorithms can diagnose all pigmented skin lesions as accurately as human experts is unclear. The aim of this study was to compare the diagnostic accuracy of state-of-the-art machine-learning algorithms with human readers for all clinically relevant types of benign and malig...
Rather, humans are learning how to work with AI to scale business operations. AI requires a human touch, and it won’t be surpassing human intelligence anytime soon. What is AI intelligence? AI is a form of computerized intelligence using machine learning algorithms and processed data to produc...
We then look at the most frequent word error types exhib- ited by the two transcription systems (human and machine), and finally report on a very preliminary but still informative exper- iment to see if humans could tell apart the transcription source (again, human versus machine), based ...
Crowdsourcing human forecasts and machine learning models each show promise in predicting future geopolitical outcomes. Crowdsourcing increases accuracy by pooling knowledge, which mitigates individual errors. On the other hand, advances in machine learn
(an untargeted attack) or to assign a high probability to some specified alternative class (a targeted attack). To ensure that the perturbations do not wander too far from the original image, anL∞-norm constraint is often applied in the adversarial machine-learning literature; this constraint ...
Recent advances in automatic machine learning (aML) allow solving problems without any human intervention. However, sometimes a human-in-the-loop can be be
et al. Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study. Lancet Oncol. 20, 938–947 (2019). Article Google Scholar Garg, A. X. et al. Effects of computerized clinical ...