Objective:

• Bring real cases for awareness of the ethical, privacy, security and governance risks associated with AI.
• Help participants recognise bias, hallucinations, data leakage, intellectual-property issues and inappropriate AI use.
• Introduce risk-based governance, regulatory considerations and human oversight for AI-enabled products.

Course Outline:

• Share recent cases involving AI to highlight risks and challenges associated with adoption of AI technology.
• Responsible AI—Introduce the concept to safeguard trust, fairness, transparency, and accountability when deploying AI.
• Truth, Integrity & Security: Understand risks and response to address hallucinations, copyright, and security threats.
• Governance—From Principles to Practice: Considerations and challenges when applying governance frameworks, human oversight to manage risks of AI.

Expected Outcome

Participants will be able to:

• Identify major ethical, privacy, bias, security, intellectual-property and integrity risks.
• Evaluate AI-generated outputs more critically.
• Apply responsible practices when entering data into AI tools.
• Recognise when human review and approval are necessary.