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: Evaluating the Climate & Socio-Environmental Impact of Data Centers
-
No Impact Without Engagement: Towards Standardised Product Metrics for Social and Behaviour Change Chatbots
-
Join us on May 28: Building a GenAI Sexual and Reproductive Health Chatbot in Senegal and Kenya – Technical and Operational Learnings
-
Safety by Design: When AI Finds the Cracks, Who Falls Through Them?
