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
-
Event Recap: Learning about the environmental impacts of data centers in Brazil
-
Join the Humanitarian MERL+AI Learning Group for the book launch of “Aid and ID: Making People Matter” with editor Margie Cheesman and contributors
-
Event: What does it take to be ready to listen to communities?
-
Event: AI Playbooks are dead; Long live AI playbooks, on September 24
