Hot Chat 3000 Prompts Discussion About Implicit Biases in Machine Learning Models

Hot Chat is a form of communication that aims to stimulate sexual arousal by using erotically charged words. It can range from playful banter to intimate discussions of fetishes and kinks. Hot chat, despite its often explicit nature can be a safe place to explore and indulge fantasies.

The chat tool was created by MSCHF. This art collective is known for its limited-time promotions, such as a cereal box which does your taxes or an enormous Fruit Loop. MSCHF created the Hot Chat 3000 to encourage discussion about implicit biases, especially around beauty standards within machine learning models.

The tool asks the user to upload a photo of themselves. It then rates their attractiveness from 1-10. The user is then connected to other users that fall within a similar numeric range. A screenshot of the site.

The tool can be used by those who are sex-averse to find a “matchmaking” experience that is more general. There are also options for filtering by gender, age, and location. However, it’s important to remember that even the most well-intentioned AI tools can be biased by the data they’re trained on. It’s important that developers put fairness, transparency and inclusivity at the forefront of their design process to minimize bias. They risk perpetuating the biases and stereotypical views that they are ostensibly attempting to avoid.