Love in Pixels

Love in Pixels

We challenged bias in generative AI in partnership with Closeup (a Unilever brand) to build a custom AI models from scratch that was trained on diverse queer narratives across media, literature, and art to authentically reflect LGBTQ+ love and identity. The microsite hotsed a limited-time playful, personalized quiz that outputted unique AI-generated image and poem that celebrates love in all its complexity.

Client

Closeup (Unilever)

Closeup (Unilever)

Region

Asia Pacific

Asia Pacific

Industry

Consumer Product Goods

Consumer Product Goods

Insight

Mainstream generative AI tools often reflect the biases of the data they’re trained on, frequently overlooking the rich, nuanced realities of LGBTQ+ love and identity.

Problem

How can we meaningfully engage the LGBTQ+ community by placing queer identity at the core of AI-generated experiences?

Solution

In collaboration with Socialcontext, we developed a bespoke large language model and stable diffusion image generator trained exclusively on queer media, literature, and art. Users answered a short set of prompts, and our system transformed their responses into a personalized poem and image. Users could download the image separately, or with the poem. This inclusive expression of intimacy challenged bias in AI and affirmed the closeness at the core of every connection.