Search Results for author: Rachel K. E. Bellamy

Found 8 papers, 2 papers with code

Joint Optimization of AI Fairness and Utility: A Human-Centered Approach

no code implementations5 Feb 2020 Yunfeng Zhang, Rachel K. E. Bellamy, Kush R. Varshney

Today, AI is increasingly being used in many high-stakes decision-making applications in which fairness is an important concern.

Decision Making Fairness

Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making

no code implementations7 Jan 2020 Yunfeng Zhang, Q. Vera Liao, Rachel K. E. Bellamy

In these scenarios, full automation is often undesirable, not only due to the significance of the outcome, but also because human experts can draw on their domain knowledge complementary to the model's to ensure task success.

Decision Making

Bootstrapping Conversational Agents With Weak Supervision

no code implementations14 Dec 2018 Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor

We report on a user study that shows positive user feedback for this new approach to build conversational agents, and demonstrates the effectiveness of using data programming for auto-labeling.

Visualizations for an Explainable Planning Agent

no code implementations13 Sep 2017 Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy

In this paper, we report on the visualization capabilities of an Explainable AI Planning (XAIP) agent that can support human in the loop decision making.

Decision Making

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