Responsible AI Principles and Ethics
Description
Understanding ethical considerations, fairness, transparency, accountability, and other responsible AI principles for developing trustworthy AI systems
Learning Objectives
Learners will understand and apply responsible AI principles including fairness, reliability, safety, privacy, security, inclusiveness, transparency, and accountability. They will be able to identify ethical considerations in AI development and deployment, recognize bias and discrimination issues, and implement practices for building trustworthy AI systems.
Topics (6)
Learning about algorithmic bias, fairness metrics, and techniques for creating equitable AI systems
Understanding system reliability, safety protocols, and risk management in AI applications
Learning about data protection, differential privacy, federated learning, and AI security practices
Learning about model interpretability, explainable AI methods, and transparent AI communication
Understanding AI governance, audit processes, and accountability mechanisms in AI deployment
Understanding accessibility requirements, inclusive design principles, and diverse representation