Rachel K. E. Bellamy | DeepAI

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∙ 09/24/2021

AI Explainability 360: Impact and Design

As artificial intelligence and machine learning algorithms become increa...

46 Vijay Arya, et al. ∙

∙ 02/05/2020

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

Today, AI is increasingly being used in many high-stakes decision-making...

10 Yunfeng Zhang, et al. ∙

∙ 01/07/2020

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

Today, AI is being increasingly used to help human experts make decision...

0 Yunfeng Zhang, et al. ∙

∙ 09/06/2019

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

As artificial intelligence and machine learning algorithms make further ...

36 Vijay Arya, et al. ∙

∙ 01/23/2019

Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment

Ensuring fairness of machine learning systems is a human-in-the-loop pro...

0 Jonathan Dodge, et al. ∙

∙ 12/14/2018

Bootstrapping Conversational Agents With Weak Supervision

Many conversational agents in the market today follow a standard bot dev...

0 Neil Mallinar, et al. ∙

∙ 10/03/2018

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Fairness is an increasingly important concern as machine learning models...

12 Rachel K. E. Bellamy, et al. ∙

∙ 09/13/2017

Visualizations for an Explainable Planning Agent

In this paper, we report on the visualization capabilities of an Explain...

0 Tathagata Chakraborti, et al. ∙

∙ 09/13/2017

Mr. Jones -- Towards a Proactive Smart Room Orchestrator

In this paper, we report work in progress on the development of Mr. Jone...

0 Tathagata Chakraborti, et al. ∙

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