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Expanding Explainability: Towards Social Transparency in AI systems
As AI-powered systems increasingly mediate consequential decision-making...
01/12/2021 ∙ by Upol Ehsan, et al. ∙
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How Much Automation Does a Data Scientist Want?
Data science and machine learning (DS/ML) are at the heart of the recent...
01/07/2021 ∙ by Dakuo Wang, et al. ∙
53
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Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
Transparency of algorithmic systems entails exposing system properties t...
11/15/2020 ∙ by Umang Bhatt, et al. ∙
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Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation
We propose a new active learning (AL) framework, Active Learning++, whic...
09/06/2020 ∙ by Bhavya Ghai, et al. ∙
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Measuring Social Biases of Crowd Workers using Counterfactual Queries
Social biases based on gender, race, etc. have been shown to pollute mac...
04/04/2020 ∙ by Bhavya Ghai, et al. ∙
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Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience
Active Learning (AL) is a human-in-the-loop Machine Learning paradigm fa...
01/24/2020 ∙ by Bhavya Ghai, et al. ∙
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Questioning the AI: Informing Design Practices for Explainable AI User Experiences
A surge of interest in explainable AI (XAI) has led to a vast collection...
01/08/2020 ∙ by Q Vera Liao, et al. ∙
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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...
01/07/2020 ∙ by Yunfeng Zhang, et al. ∙
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Enabling Value Sensitive AI Systems through Participatory Design Fictions
Two general routes have been followed to develop artificial agents that ...
12/13/2019 ∙ by Q Vera Liao, et al. ∙
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One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
As artificial intelligence and machine learning algorithms make further ...
09/06/2019 ∙ by Vijay Arya, et al. ∙
36
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Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys
The rise of increasingly more powerful chatbots offers a new way to coll...
05/25/2019 ∙ by Ziang Xiao, et al. ∙
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Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment
Ensuring fairness of machine learning systems is a human-in-the-loop pro...
01/23/2019 ∙ by Jonathan Dodge, et al. ∙
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Bootstrapping Conversational Agents With Weak Supervision
Many conversational agents in the market today follow a standard bot dev...
12/14/2018 ∙ by Neil Mallinar, et al. ∙
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A Measure for Dialog Complexity and its Application in Streamlining Service Operations
Dialog is a natural modality for interaction between customers and busin...
08/04/2017 ∙ by Q Vera Liao, et al. ∙
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