Bias and Ethical Concerns in Machine Learning
According to Niral Sutaria, CISA, ACA, Bias in AI occurs when two data sets are not considered equal, possibly due to biased assumptions in the AI algorithm development process or built-in prejudices in the training data. Learn more
You might also like
-
Humans in the Machine: the Impact of AI on workers – Learn More on February 6th
-
Join us for the Gender, MERL and AI Working Group meeting kick-off!
-
The influence of Big Tech in 2025: 8 ways civil society can prepare for the incoming US administration
-
We’ve (mostly) banned AI assistants from NLP Community of Practice events. Here’s why.