AI bias arises from human decisions and the data used to train algorithms. This data, reflecting human biases and subjective views, is not neutral. As a result, AI can inherit these biases.
For instance, facial recognition software trained mostly on white faces performs better on white faces. Similarly, the Amazon hiring algorithm perpetuated gender biases due to biased training data. Even efforts to eliminate explicit bias can fail because proxy variables may still result in discriminatory outcomes.
While achieving completely bias-free AI may be unrealistic, we can focus on identifying and addressing known biases and remaining vigilant about hidden ones. This is where Alix Rübsaam expansive and immersive AI Bias workshopplays a crucial role.
In this workshop, participants will:
About the facilitator
Alix Rübsaam
Alix Rübsaam is a visionary in the field of AI and bias mitigation. With a background in creating immersive learning experiences, she co-created the AI Bias Workshop with Ty Henkaline. Her dedication to developing inclusive technology and educating others on the implications of bias in algorithms has made a significant impact in the industry. Currently, she's the VP of Research, Expertise & Knowledge at Singularity University.