Ethics for AI and Data Governance

Course Description

This course offers a comprehensive exploration of the ethical challenges surrounding Artificial Intelligence (AI) and Data Governance. It provides students with the specific theoretical and some practical tools to address ethical issues related to AI development and data management, including privacy, accountability, transparency, and security. By examining real-world case studies and regulatory frameworks, students will learn how to analyse AI and data governance strategies that benefit both developers and end-users. The course also covers the intersection of AI ethics with cybersecurity, data quality, and digital policy, ensuring a well-rounded understanding of the complexities involved in modern AI governance. Key topics: Artificial Intelligence (AI), Data Governance, Ethics, Data Privacy, Data Management, Data Security, Data Accountability, Data Transparency. Course Pre-requisites: Basic AI, Algorithm and Data Structure, Basic knowledge of Data Security, Digital Policy

Learning Outcomes

• Provide a comprehensive introduction to the concepts, techniques, and applications of AI, includes exploring the fundamental principle of AI, its capabilities, and its impact on various sectors, enabling individuals to navigate the AI landscape effectively.
• Demonstrate the ethical implications associated with AI techniques and data governance, includes addressing issues such as bias, fairness, transparency, and accountability, promoting responsible decision-making and ensuring the AI systems are developed and used in ways that align with societal values.
• Establish robust data governance practices that ensure data quality, security, and compliance with regulations, focuses on managing data responsibility and ethically, ensuring that data is used in ways that respect individual privacy and support organization integrity.