Practical Application of ChatGPT in Risk Management and Internal Audit

Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2025058780
S$500
Original: S$1,000
Save S$500

About This Course

This one-day Practical Application of Chat Generative Pre-trained Transformer (ChatGPT) in Risk Management and Internal Audit training program offers participants a condensed yet comprehensive exploration of using ChatGPT, an advanced language model, to enhance risk management and internal audit processes. This course covers topics such as ChatGPT fundamentals, benefits and limitations, ethical considerations, integrating ChatGPT into risk identification and assessment and leveraging ChatGPT for risk mitigation, control design and internal audit documentation. Through a dynamic learning environment featuring interactive discussions, case studies, and practical exercises, participants will acquire the knowledge and skills necessary to seamlessly integrate ChatGPT into their risk management and internal audit functions, improving overall work effectiveness and efficiency.

What You'll Learn

At the end of the 1-day programme, participants will be able to:
• Understand the fundamentals of Chat Generative Pre-trained Transformer (ChatGPT) technology and its potential applications in risk management and internal audit.
• Explore the benefits and limitations of using ChatGPT in risk management and internal audit processes.
• Understand the ethical considerations and challenges associated with using ChatGPT in risk management and internal audit.
• Integrate ChatGPT into risk identification and assessment activities to enhance decision-making.
• Discover techniques for leveraging ChatGPT in risk mitigation, control design, and internal audit.
• Learn practical techniques to effectively communicate and document ChatGPT-generated outputs to stakeholders.

Entry Requirements

Participants should have at least 2 years of working experience in Risk Management

Course Details

Duration 8 hours
Language English
Training Commitment Part Time
Total Enrolled 12 students
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