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
-
What’s happening with GenAI Ethics and Governance?
-
Join the AI and African Evaluation Working Group Meet ‘n’ Mix Session on May 7!
-
Hands on with GenAI: predictions and observations from The MERL Tech Initiative and Oxford Policy Management’s ICT4D Training Day
-
When Might We Use AI for Evaluation Purposes? A discussion with New Directions for Evaluation (NDE) authors