Responsible AI Principles

Overview

AI+ Ethics™ is a focused, one-day program designed to equip professionals with the knowledge and frameworks needed to evaluate, guide, and govern ethical AI use within organisations. As AI systems scale, leaders must navigate challenges around bias, fairness, privacy, transparency, security, and global regulatory requirements. This course provides a practical foundation to assess risks, strengthen governance, and ensure AI systems operate responsibly and in alignment with organisational values. Learners explore real-world case studies, ethical decision-making models, and global standards to understand how ethical failures occur—and how to prevent them. The program features hands-on exposure to leading tools such as IBM AI Fairness 360, IBM AI Explainability 360, AI4People Frameworks, and the European Commission’s AI Ethics Guidelines, helping participants analyse model behaviour, identify bias, and strengthen oversight. Whether you work in compliance, technology, risk, policy, academia, or leadership, this certification builds the confidence and capability to shape trustworthy AI practices across industries.

Syllabus

Module 1: Overview of AI Ethics and Societal Impact

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

Module 2: Bias and Fairness in AI
Module 3: Transparency and Explainable AI
Module 4: Privacy and Security Issues in AI
Module 5: Accountability and Responsibility
Module 6: Legal and Regulatory Issues
Module 7: Ethical Decision Making Frameworks
Module 8: AI Governance and Best Practices
Module 9: Global AI Ethics Standards