Visual, Interactive, and Explainable Human-AI Collaboration

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• Menna El-Assady
• Wednesday 24 January 2024, 16:00-17:00
• Computer Laboratory, William Gates Building, LT2.

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.

This talk is part of the tcg40's list series.

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