Artificial intelligence (AI) and other emerging technologies are great when they work. We all have faced the challenges of technology, but we all haven’t faced the bias of the technology, placed there by the human developer. Information Management brought this news to us in their article, “Opinion How human biases can skew artificial intelligence tools.”
For many people—especially people of color and women—AI doesn’t make life easier. Due to the lack of diverse data, everyone doesn’t get to realize the full benefit. This is a big problem, but one that can be fixed.
Multiple studies have found that facial and voice recognition algorithms tend to be more accurate for men than women. Facial recognition programs also have trouble correctly identifying transgender and nonbinary people. Image-recognition algorithms are often more accurate for people with lighter skin than people with darker skin. These discrepancies can create problems for users, ranging from inconvenient to potentially life-threatening.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
