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 Binary Calculations, an app that aims proactively enlist the public 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.
This program is organized in partnership with Queens Museum New New Yorkers program and Queens Teens Council and will be in English. Limited spaces are available. (Please note there will be an upcoming workshop in Spanish, date forthcoming.)
Registration is required. Please visit queensmuseum.org for details
Participants are requested to bring the following:
Bring thoughts around what your data means to democracy and/or governance
Bring images that are culturally specific and/or meaningful to you to donate to the app
A laptop or tablet if you have access to one