Human-AI Collaboration

Exploring Information Needs for Establishing Trust in Automated Data Science Systems

AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates

Next steps for human-computer integration

How do data science workers collaborate? roles, workflows, and tools

Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems

From human-human collaboration to Human-AI collaboration: Designing AI systems that can work together with people

AutoAI: Automating the end-to-end ai lifecycle with humans-in-the-loop

IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models.

How data scientists work together with domain experts in scientific collaborations: To find the right answer or to ask the right question?

How data science workers work with data: Discovery, capture, curation, design, creation