Binary Calculations are Inadequate to Assess Us

Renowned transmedia artist and Stony Brook University Professor Stephanie Dinkins leads a conversation about the exclusionary nature of artificial intelligence (AI) and the algorithms that undergird our technologies as well as the steps we can take to create more equitable datasets. This workshop will rely partially on the contributions of participants to create a more inclusionary and interactive algorithm, proposing a data commons approach where anyone can contribute to a training dataset that in turn can be used to power AI. 

The data collected during the workshop will contribute to Our Data, an app which is currently under development and aims to co-create more nuanced algorithmic possibilities by creating two repositories — one for text and one for image — which will be available for people to use as an alternative to existing data sets. Limited spaces available. 

Registration Required

If you are interested in participating in this virtual workshop, please contact Stamps Gallery Director Srimoyee Mitra at srimoyee@​umich.​edu.

Participants are requested to bring the following:

• Bring self
• Bring thoughts around what your data means to democracy and/​or governance
• Bring images to donate to the app

Pre-Workshop Readings:

• Black data matters: How missing data undermines equitable societies
• Machine Bias: There’s software used across the country to predict future criminals. And it’s biased against Blacks.
• Data, justice and power: how data can light the way to a fairer world
  

Presented by Stamps Gallery, Penny W. Stamps School of Art & Design, University of Michigan, in partnership with Science Gallery at Michigan State University Museum.