Queer AI Chatbot

Artificial Intelligence

2018 - 2020

PROJECT DESCRIPTION

Queer AI began as a collaboration between Emily Martinez and Ben Lerchin in 2018. They wanted to create a chatbot that embodied the messiness of relationships, bodies, and identity.

The first iteration of Queer AI (v1) was trained on 50,000+ conversational pairs derived from scripts in queer theatre, using an RNN seq-to-seq algorithm. Ben wrote all the code and prepped all the data. Emily wrote manifestos and talked to bots.

The second iteration (2020) uses GPT-2, a large transformer-based language model with 1.5 billion parameters, trained on a dataset of 8 million web pages. Emily trained this model while working on her ML5 fellowship project.

The project includes A.I. generated zines and community workshops.

QUEER.AI

CONVERSATIONS WITH QUEER AI V1.0
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QUEERING THE CORPUS: AI AGENTS FOR AN INTERNET OF KIN (MOZFEST 2019)

UX workshop and design sprint

Workshop Notes

pink sticky notes scattered on white wall
Design Sprint, Part 1. Clustering exercise, Mozfest, 2019
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Design Sprint, Part 1. Clustering exercise, Mozfest, 2019
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Things people texted the AI, Mozfest, 2019
pink sticky notes in a grid of four pasted into a notebook
Things people texted the AI, Mozfest, 2019
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Design Sprint, Part 2: How might we design a better AI/chatbot for. . . ?, Mozfest, 2019
yellow sticky notes in a grid of four pasted into a notebook
Design Sprint, Part 2: How might we design a better AI/chatbot for. . . ?, Mozfest, 2019