In this book, we study how people judge machines by presenting dozens of experiments designed to compare people’s judgments of humans and machines in scenarios that are otherwise equal. These scenarios were evaluated by nearly 6,000 people in the US, who were randomly assigned to either a treatment or a control condition. In the treatment condition, scenarios were described as concerning the actions of a machine…
www.judgingmachines.com/
Professor at George Washington University
I am a Professor with Human-Technology Collaboration and Educational Technology programs at George Washington University in Washington DC. I have written 12 books and more than 100 articles, and I co-host of the Parsing Science podcast where scientists tell the stories behind their research. I am also the developer of the WeShareScience.com online platform for sharing research videos, and SciencePods.com where researchers can create free podcasts about their science. My research interests include human interactions with intelligent machines, needs, needs assessments, and instructional design.
Latest posts by Ryan Watkins (see all)
- Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging - May 20, 2022
- A Transparency Index Framework for AI in Education - May 20, 2022
- Role of Human-AI Interaction in Selective Prediction - May 19, 2022