Explainable AI for Addressing Bias and Improving User Trust - Anna Rohrbach | UC Berkeley
Anna Rohrbach is a Research Scientist at UC Berkeley and presented her insights on the Ethics & Social Responsibility Stage the Deep Learning 2.0 Virtual Summit earlier this year. To watch more talks on topics like this in real-time with live Q&As, discussions and networking opportunities, register for either:
ML Fairness Summit 2021:
AI Ethics Summit 2022:
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Presentation Description:
Explainable Artificial Intelligence (or XAI) has a long history of research, while recently it has re-emerged as an active area of investigation in the Deep Learning community. With the growing popularity and success of Machine Learning and, especially, Deep Learning techniques, the community has been striving to open up these “black boxes”. From the engineering perspective, interpretability could provide wa
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