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Visual, Interactive, and Explainable Human-AI Collaboration

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If you have a question about this talk, please contact Tobias Grosser .

Intelligence augmentation through mixed-initiative systems promises to combine AI’s efficiency with humans’ effectiveness. This can be facilitated through co-​adaptive visual interfaces. This talk will outline the need for human-AI collaborative decision-making and problem-solving. I will illustrate how customized visual interfaces can enable interaction with machine learning models to promote their understanding, diagnosis, and refinement. In particular, I will showcase various workflow designs tailored for computational linguistics analysis. Lastly, the talk will conclude with reflections on current challenges and future research opportunities.

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