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Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making
In addition, we found that users' perception of the AI's performance relative on their own also had a significant impact on whether their accuracy improved when given AI recommendations.
Revisiting Citizen Science Through the Lens of Hybrid Intelligence
This "HI lens" provides the CS community with an overview of several ways to utilize the combination of AI and human intelligence in their projects.
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
Machine learning, artificial intelligence, and deep learning have advanced significantly over the past decade.
Human computation requires and enables a new approach to ethical review
With humans increasingly serving as computational elements in distributed information processing systems and in consideration of the profit-driven motives and potential inequities that might accompany the emerging thinking economy[1], we recognize the need for establishing a set of related ethics to ensure the fair treatment and wellbeing of online cognitive laborers and the conscientious use of the capabilities to which they contribute.
A U.S. Research Roadmap for Human Computation
The Web has made it possible to harness human cognition en masse to achieve new capabilities.
