The image captures a speaker presenting at a conference or seminar using a large projection screen. The slide projected on the screen is titled "Stereotypical biases in generative systems" and visually compares facial representations for different occupations. The slide is divided into two categories: high-paying occupations (including Architect, Lawyer, Politician, Doctor, CEO, Judge, Engineer) and low-paying occupations (including Janitor, Dishwasher, Fast Food Worker, Cashier, Teacher, Social Worker, Housekeeping). This slide appears to address the biases found in generative systems when associating facial characteristics with occupational roles. The audience, consisting of a few viewers, is seated and listening attentively to the speaker’s analysis and discussion on the topic. The environment suggests a formal and educational setting aimed at addressing and understanding the impact of stereotypes in AI technologies.
Text transcribed from the image:
Stereotypical biases in generative systems
High-paying occupations:
Architect
Lawyer
Politician
Doctor
CEO
Judge
Engineer
Low-paying occupations:
Janitor
Fastfood
worker
Cashier
Teacher
Dishwasher
Social worker Housekeeping
https://www.bloomberg.com/graphics/2023
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