Question

Marley noticed that the algorithm she was using in a facial recognition program continuously misidentified certain demographics. Why did the algorithm MOST LIKELY make these mistakes?

(1 point)
Responses

algorithmic bias

algorithmic bias

incorrect source code

incorrect source code

too much data

too much data

complex code

Answer 1

algorithmic bias

Because the model likely learned biased patterns from its training data (e.g., underrepresentation or skewed labels), causing systematic misidentification of certain demographic groups.