AI Ethics: Understanding Bias and Fairness in Your Models
This talk will cover how to appropriately identify and measure model bias and fairness, how to understand potential sources of bias and finally how to mitigate bias.
What you'll learn
As machine learning and artificial intelligence (AI) usher in the Fourth Industrial Revolution, it seems like everyone wants to get in on the action. And who can blame them? However, just like humans, AI systems are not exempt from making unfair decisions; sometimes this comes with serious consequences. This talk will cover how to appropriately identify and measure model bias and fairness, how to understand potential sources of bias and finally how to mitigate bias.
Table of contents
About the author
Big Data LDN (London) is a free to attend conference and exhibition, hosting leading data and analytics experts who are ready to equip you with the tools you need to deliver your most effective data-driven strategy. Discuss your business requirements with 130 leading technology vendors and consultants, hear from 150 expert speakers in 9 technical and business-led conference theaters, and network with thousands of fellow data experts.