Machine Learning
is increasingly used in various industries, but it also raises ethical concerns. This Professional Certificate in Resolving Ethical Conflicts in Machine Learning is designed for professionals who want to address these concerns and ensure their models are fair, transparent, and accountable.
By taking this course, you will learn how to identify and resolve ethical conflicts in machine learning, including bias, privacy, and explainability issues.
Some key topics covered in the course include:
Debiasing algorithms and model interpretability techniques, as well as regulatory compliance and stakeholder engagement strategies.
Whether you're a data scientist, product manager, or business leader, this course will help you navigate the complex landscape of machine learning ethics and make informed decisions that balance business goals with social responsibility.
Join us and start building a more ethical and responsible machine learning practice today!