# lauren lee mccarthy

- **Website:** <https://lauren-mccarthy.com>
- **Primary alias:** `lauren-mccarthy.com`

## Description

What Models Make Worlds: Critical Imaginaries of AI, curated by Mashinka Firunts Hakopian and Meldia Yesayan, delves into the multifaceted realm of algorithmic modeling and its impact on society. This exhibition showcases the work of artists who push boundaries, challenging our current algorithmic frameworks and envisioning alternative worlds. From predictive policing to automated hiring, algorithmic models shape our reality, often perpetuating power imbalances. The featured artists in this exhibit offer a critical perspective, exploring feminist, antiracist, and decolonial approaches to AI. What Models Make Worlds invites visitors to interrogate the opaque nature of algorithmic decision-making and consider more inclusive and equitable technological futures. Originally presented as Encoding Futures at OXY ARTS, this thought-provoking exhibition is a collaboration between two visionary curators striving to redefine the narrative around AI and technology. Explore this groundbreaking display at the Ford Foundation Gallery in New York City, where art meets innovation every day.

## Industries

- 🍿 Arts and Entertainment
- 🍿 Visual Arts and Design _(under Arts and Entertainment)_

## Links

- [twitter](https://twitter.com/laurenleemack)
- [instagram](https://instagram.com/laurenleemack)

## Logos & icons

- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idtBsXP7OU/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1720526477070)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Contessa | #c88574 | accent |
| Black | #000000 | dark |
| White | #ffffff | light |

## Fonts

- Helvetica Neue — asset _(custom)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idtBsXP7OU/w/1500/h/500/idxir0XjY5.jpeg?c=1bxid64Mup7aczewSAYMX&t=1720526476921)

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_Source: <https://brandfetch.com/lauren-mccarthy.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._