Today, AI systems collect and interpret voluminous and heterogenous data collected from various sources to add value to the decision-making process. This has raised fundamental challenges and concerns such as privacy, liability, fairness, transparency, accountability and many more. This course covers overarching ethics, laws and policies to consider during the life cycle of AI systems, that are needed to build trust in any AI process. You do not require any prior programming or computer science experience for this Microskill.

In this Microskill you will learn about:

• Real world application of AI used for good
• Guiding principles of AI
• Policies and procedures, governance, and Engineering of Ethical AI applications.

Stack the vital knowledge on how to build AI systems responsibly and for good and get started with this inter-disciplinary Microskill now!

Key topics include:

• Principles of responsible AI
• Responsible AI Use
• Governance
• Responsible AI in business: Case studies

Duration: 2 hours
Delivery: Online (self-paced)
Access period: 4 months access from the day of enrolment