Embark on a Dungeons and Dragons-themed journey exploring the ethical challenges in AI development and implementation. Learn how to assemble a balanced team to combat algorithmic biases such as racism, sexism, and queerphobia. Discover key considerations, existing issues, and strategies for creating more equitable AI systems. Delve into the importance of prevention, essential questions to ask, methods to mitigate bias, and contingency plans for potential failures. Join the quest to fight algorithmic injustice and shape a more ethical AI landscape for all.
Overview
Syllabus
LINUX
Campaign against Al Bias
Prevention is better than cure
Questions to ask
Ways to stop bias
What if it all goes wrong?
Taught by
linux.conf.au
