"Data Annotation as Measurement": The creation and evaluation of modern AI systems depends on annotated data. But what happens when annotated data is wrong? In this talk, I will explore how problems can arise during data annotation processes and suggest opportunities for improving data annotation that draw on measurement theory. — Emma Harvey

The Digital Life Seminar series offers students and guests an opportunity to engage actively with leading scholars and practitioners researching and responding to the development and application of digital technologies.

The current boom in AI has been accompanied with tremendous hype, both negative and positive. My goal is to go beneath this surface and provide a better understanding of what AI systems are actually doing, and what concerns I have about where they are going. I am neither an enthusiast nor a doomer. The very real problems created by AI today and in the foreseeable future need to be approached by looking at the ways we (in the broad sense) choose to apply it and the way in which we fit it into our world.