Queer AI Chatbots

Artificial Intelligence

2018 - 2020

PROJECT DESCRIPTION

Queer AI conversational chatbots are trained to embody the messiness of relationships, bodies, and identity.

The first iteration of Queer AI (2018) is trained on 50,000+ conversational pairs derived from scripts in queer theatre. Authors featured in our dataset include Caryl Churchill, Jane Chambers, Harvey Fierstein, Jean Genet, Sarah Ruhl, Paula Vogel, and Oscar Wilde. The chatbot uses an RNN seq-to-seq algorithm developed by Google for machine translation.

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.

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

Queer AI is a collaboration with Ben Lerchin.

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
pink sticky notes neatly layed out on a table
Design Sprint, Part 1. Clustering exercise, Mozfest, 2019
pink sticky notes in a grid of four pasted into a notebook
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