Workshop: Human-Centered AI: Reliable, Safe & Trustworthy
Well-designed technologies, which offer high levels of human control and high levels of computer automation, will increase human performance, rather than replace people. These Human-centered AI technologies are more likely to produce designs that are Trusted, Reliable & Safe (TRS). Achieving these goals will dramatically increase human performance, while supporting human self-efficacy, mastery, and responsibility.
This workshop explores case studies, guidelines, principles, and theories to design advanced technologies that bring the benefits of AI methods, while ensuring appropriate human control.
This virtual workshop, using Zoom, is organized into three sessions (see below). Each speaker will have 25 minutes for their presentation and discussion, with the suggestion of 15 minutes talk and 10 minutes discussion.
For background on Human-Centered AI, see this open-access paper:
- John P Dickerson (firstname.lastname@example.org)— Assistant Professor, Dept of Computer Science, University of Maryland
- Hernisa Kacorri (email@example.com) — Assistant Professor, College of Information Studies (iSchool), University of Maryland
- Ben Shneiderman (firstname.lastname@example.org) — Professor, Dept of Computer Science, University of Maryland
For more information about the speakers and details of this EVENT.