Michigan AI Laboratory
News
Natural Language Processing at Michigan Research Day
The meetup was intended to foster connections between researchers across campus with an interest in the development and application of NLP.

Understanding media narratives with machine learning and NLP
Prof. Lu Wang aims to build a better understanding of how storytelling in mass media impacts the attitudes and beliefs of individuals and communities.

Making collaborative online document editing accessible to blind users
The CollabAlly extension pulls together visual information in collaborative editing environments and makes them easy to access and navigate with audio cues.

How can machine learning impact healthcare?
Prof. Jenna Wiens uses machine learning to make sense of the immense amount of patient data generated by modern hospitals. This can help alleviate physician shortages, physician burnout, and the prevalence of medical errors.
Can we trust a robot?
Prof. Benjamin Kuipers discusses how advances in AI and robotics have raised concerns about the impact on our society of intelligent robots, unconstrained by morality or ethics.