Wednesday
Room 8
10:20 - 11:20
(UTC+02)
Talk (60 min)
Ethical Machine Learning
The future of machine learning relies on a code of ethics. Machine learning can imitate and enhance human decision-making and amplify human prejudices.
As machine learning moves from the research lab to the enterprise, questions around ethics and risk become even more critical. Ethics and governance cannot be applied on the backend and must be considered from the beginning and throughout the development process. Attend this talk to learn how to incorporate ethics and risk into your machine learning development process.
Kesha Williams
Kesha Williams is an award-winning technology leader teaching others how to transform their lives through technology. She has 25+ years of experience architecting, designing, and building enterprise web applications. Her passions include teaching cloud topics and leading software engineering teams. Kesha holds multiple AWS certifications and is recognized as an AWS Machine Learning Hero, Alexa Champion, AWS Ambassador, and HackerRank All-Star. She currently serves as the Program Director of Slalom's Cloud Residency and on the Board of Directors for Women in Voice.