Transmedia artist and Stony Brook University Professor Stephanie Dinkins will lead a conversation and workshop 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.
Thursday, October 7, 2021 at 6:00-7:30pm in the STEM Teaching and Learning Facility
Number of Participants (two types possible): 20 – 30 people
Participation in this program is limited. Please email Head of Programming, Antajuan Scott at email@example.com for more information.
This program is organized in partnership with the Stamps Gallery.
This program is in conjunction with the MSU Science Gallery’s exhibit at the MSU Museum “Tracked & Traced”.