Responsible AI

The Global Institute of Technology 'Responsible AI ' is a Foundational Certification program designed to prepare learners to understand the use of AI in a responsible way. As AI's usage becomes widespread its users and AI/ML engineers need responsible AI frameworks for safe and ethical use. This course provides a 40-hour education of theory and practice wherein students begin by learning about the societal impact of AI and ethical guidelines. Then we explore the legal and regulatory as well as ethical frameworks. Bias is overcome to instill fairness into AI through data examination, and data confidentiality and privacy are also building blocks of responsible AI. Bias, non-compliance and unethical practices can also arise in model development and AI system's life cycle. Besides theory, students will also learn about the importance of critical thinking and contextual evaluations through hands-on exercises and labs. Students will also learn about the emerging practice of AI governance as well as emerging software practices including responsible AI as a service.

The course includes a plenty of practical exercises, case studies, and group discussions where possible to keep the course engaging and relevant. Additionally, we will provide recommended readings and resources for students who want to delve deeper into specific topics. We regularly assess student understanding through quizzes, assignments, and a final exam to ensure they grasp the material.