Microsoft Research | Human-Centered AI: Ensuring Human Control While Increasing Automation @MicrosoftResearch | Uploaded May 2023 | Updated October 2024, 1 week ago.
Speakers: Ben Shneiderman
Host: Mary Czerwinski
A new synthesis is emerging that integrates AI technologies with Human-Computer Interaction to produce Human-Centered AI (HCAI). Advocates of this new synthesis seek to amplify, augment, and enhance human abilities, so as to empower people, build their self-efficacy, support creativity, recognize responsibility, and promote social connections. Researchers, developers, business leaders, policy makers, and others are expanding the technology-centered scope of Artificial Intelligence (AI) to include Human-Centered AI (HCAI) ways of thinking. This expansion from an algorithm-focused view, which embraces a human-centered perspective, guides evaluation by usability testing, expert reviews, and user feedback strategies. These include user observation, incident reporting, audit trails, and surveys to assess trustworthiness. The talk will include examples, references to further work, and discussion time for questions. These ideas are drawn from Ben Shneiderman’s award-winning new book Human-Centered AI (Oxford University Press, 2022).
Further information at: https://hcil.umd.edu/human-centered-ai
Speakers: Ben Shneiderman
Host: Mary Czerwinski
A new synthesis is emerging that integrates AI technologies with Human-Computer Interaction to produce Human-Centered AI (HCAI). Advocates of this new synthesis seek to amplify, augment, and enhance human abilities, so as to empower people, build their self-efficacy, support creativity, recognize responsibility, and promote social connections. Researchers, developers, business leaders, policy makers, and others are expanding the technology-centered scope of Artificial Intelligence (AI) to include Human-Centered AI (HCAI) ways of thinking. This expansion from an algorithm-focused view, which embraces a human-centered perspective, guides evaluation by usability testing, expert reviews, and user feedback strategies. These include user observation, incident reporting, audit trails, and surveys to assess trustworthiness. The talk will include examples, references to further work, and discussion time for questions. These ideas are drawn from Ben Shneiderman’s award-winning new book Human-Centered AI (Oxford University Press, 2022).
Further information at: https://hcil.umd.edu/human-centered-ai
![Podcast | Collaborators: Teachable AI with Cecily Morrison & Karolina Pakėnaitė [ASL interpretation]](https://i.ytimg.com/vi/e2Kd0O8Wr-8/hqdefault.jpg "Podcast | Collaborators: Teachable AI with Cecily Morrison & Karolina Pakėnaitė [ASL interpretation]
The Microsoft Research Podcast series Collaborators explores the relationships behind the projects, products, and services being pursued and delivered by researchers at Microsoft and the diverse range of people they’re teaming up with.
In this episode, host Gretchen Huizinga speaks with Cecily Morrison, MBE, a Senior Principal Research Manager at Microsoft Research, and Karolina Pakėnaitė, a PhD student and member of the citizen design team working with Morrison on the research project Find My Things. An AI phone application designed to help people who are blind or have low vision locate their personal items, Find My Things is an example of a broader research approach known as Teachable AI. Morrison and Pakėnaitė explore the Teachable AI goal of empowering people to make AI experiences work for them and discuss how “designing for one” leads to innovative solutions and what they learned about optimizing these systems for real-world use (spoiler: it’s not necessarily more or higher-quality data).
For audio of the episode, a full transcript, and other resources, visit the episode landing page: https://www.microsoft.com/en-us/research/podcast/collaborators-teachable-ai-with-cecily-morrison-and-karolina-pakenaite/")
