Using Artificial Intelligence to Augment Human Intelligence

By Shan Carter, Michael Nielsen. 2017

145 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

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Citations in the corpus

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music (2018, methodology): “Our interest in deep latent variable models primarily comes from their increasing use in creative applications of machine learning (Carter & Nielsen, 2017; Ha & Eck, 2018; Engel et al., 2017a).”
Leading teachers' perspective on teacher-AI collaboration in education (2023, unknown): “On the other hand, another change in perspective and discussion emerged: the collaboration between humans and AI— a discussion of how the unique strengths of humans and AI can act synergistically (Carter & Nielsen, 2017; Engelbart, 1995).”
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers (2018, unknown): “This area, recently dubbed artificial intelligence augmentation describes the use of AI systems to help develop new methods for intelligence augmentation [102].”
Reinforcement Learning for Improving Agent Design (2018, background): “This approach may lead to useful applications in machine learning-assisted design, in the spirit of [14, 15].”
Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI (2021, background): “…of hybrid augmented intelligence help achieve collaborative decision-making in complex problems, thereby gaining superior excellent results that cannot be achieved separately (e.g., Carter & Nielsen, 2017; Crandall, 2018; Dellermann, Calma, et al., 2019; Dellermann, Ebel, et al., 2019).”
The Role and Limits of Principles in AI Ethics: Towards a Focus on Tensions (2019, background): “…depending on the precise direction in which technology develops, it could be used to either greatly enhance human capabilities - if we can develop sophisticated methods of intelligence augmentation [7] - or to degrade them: if our own capabilities atrophy as we outsource more and more tasks [6].”
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization (2020, background): “Inspired by Chris Olah’s interactive blog posts [44], interactive articles explaining deep learning models with interactive visualization are gaining popularity as an alternative medium for education [10, 39].”