AI Bias 101

UX Research | Team Project

With the rise of AI, users must be aware and educated about the existence and impacts of AI biases. Our research aims to tackle this issue with our prototype AI Bias 101.

My Contributions:

  • Directed research method to see users’ mental models.

  • Designed storyboards eventually leading to part of prototype.

  • User tested prototypes and obtaining valuable insights.

  • Edited and finalized format of presentation poster.

THE WIREFRAMES

Incentivize users to learn more.

educational pop-up to raise awareness about potential ai biases.

Interactive Quizzes with immediate feedback to inform users.

FINAL POSTERs

THE PROCESS

How might we effectively educate less experienced users about unfamiliar AI biases?

Why Card Sorting? To understand users’ mental models while categorizing AI Biases and what examples of biases they already knew.

Using our research, we categorized our insights through an Affinity Diagram to decipher commonalities users had during their experiences with AI and its biases.

Our team then developed several Personas to remain cognizant of our target audience and their user needs.

We started sketching Storyboards, mine pictured below, and tested with users to determine what would be better fits for our final solution.