Dates: 13 & 14 May 2025, 6 & & October 2025
Level: Intermediate
Duration: 2 days
Venue: Singapore University of Social Sciences
This 2-day course delves into Artificial Intelligence and Machine Learning (AI/ML), with a primary focus on their applications, the regulatory environment, and associated risks within the realm of technology and cybersecurity. Participants will gain an understanding of AI/ML intricacies, explore ethical aspects, and learn practical techniques for auditing AI systems to ensure they adhere to ethical standards, security protocols, and robust governance controls. The course illuminates the fundamentals of AIML, its regulatory context, risk management, and offers guidance on assessing and auditing AI systems to ensure ethical alignment, system security, and strong governance.
This course is suitable for professionals in technology, cybersecurity, compliance, risk management, and AI/ML practitioners interested in understanding and managing the complexities of AIML technology and its regulatory landscape in financial services.
- Introduction to Machine Learning and Artificial Intelligence
- AIML Essentials
- Introduction to Trustworthy AI
- Trustworthy AI Regulatory Landscape
- Industry Applications of AI in Cybersecurity and the Challenges
- Trustworthy AI concepts
- Generative AI – good, bad, and ugly
- AI Governance
- AI Risk Management
- Analyze how AIML is applied in various business processes.
- Examine the regulatory landscape surrounding AIML, considering policies and guidelines beyond FEAT principles.
- Explain AIML technologies and their limitations, including supervised/unsupervised learning, deep learning, NLP, and large language models.
- Evaluate prerequisite considerations when implementing AIML solutions.
- Assess technology and cyber risks/threats related to AIML use in financial services, including incidents involving misuse.
- Apply AIML in practical scenarios, such as ChatGPT and internal applications.
- Provide recommendations for addressing identified AIML risks, including governance and procedural controls.
A. Knowledge and Understanding (Theory Component)
By the end of this course, participants should be able to:
- Explain the different types of AI/ML technologies as well as describe the associated limitations and challenges.
- List key AI/ML applications in various industries as well as identify regulatory principles and guidelines related to AI/ML.
- Apply ethical considerations to evaluate AI/ML models for fairness and transparency.
B. Key Skills (Practical Component)
By the end of this course, you should be able to:
- Analyze and evaluate the technology and cyber risks associated with AI/ML as well as the impact of AI/ML technology on business processes, assessing its benefits and potential risks.
- Apply ethical principles to AI/ML systems and evaluate the robustness of governance as well as procedural controls in AIML implementations.
- Demonstrate ethical decision-making in the evaluation and management of AI/ML technology and regulatory compliance.
| Time | Agenda |
|---|
| Day 1 |
| 09:00 - 09:30 | Course overview |
| 09:30 - 10:30 | Introduction to Machine Learning and Artificial Intelligence
Overview of AIML Essentials |
| 10:30 - 10:45 | Break |
| 10:45 - 12:00 | Introduction to Trustworthy AI
Trustworthy AI Regulatory Landscape |
| 12:00 - 13:00 | Lunch |
| 13:00 - 15:30 | Industry Applications of AI in Cybersecurity and the Challenges
Trustworthy AI concepts – Escape the Cycle of Perpetuating Sociological Bias |
| 15:30 - 15:45 | Break |
| 15:45 - 16:15 | Trustworthy AI concepts – Escape the Cycle of Perpetuating Sociological Bias |
| 16:15 - 17:30 | Trustworthy AI concepts – Explaining Explainability |
|
| Time | Agenda |
|---|
| Day 2 |
| 09:00 - 09:30 | Recap of Day 1 |
| 09:30 - 10:30 | Trustworthy AI concepts – Preserving Privacy in the Age of AI |
| 10:30 - 10:45 | Break |
| 10:45 - 12:00 | Trustworthy AI concepts – Assessing and Defending Against AI Security Threat |
| 12:00 - 13:00 | Lunch |
| 13:00 - 14:30 | Trustworthy AI concepts – Robustness
Generative AI – good, bad, and ugly |
| 14:30 - 15:15 | AI Governance |
| 15:15 - 15:30 | Break |
| 15:30 - 16:30 | AI Risk Management |
| 16:30 - 17:30 | Assessment |
- Written Assessment – Short Answer Questions
- Written Assessment – Case-study with Questions
- Attendees should have a basic understanding of AI/ML concepts and cybersecurity fundamentals
- Attendees have to bring along their own laptop
Gerry Chng
Gerry is an Executive Director in Deloitte’s Cyber Risk Advisory practice, specialising in Cybersecurity and Risk Management.
He has over 25 years of experience in Cybersecurity, and has spent the last 21 years advising clients on how to adopt technology innovations in a safe and controlled environment.
He is experienced in serving clients in the Government and Public Sector, Financial Services, and Power & Utilities in Singapore and across the South East Asia region.
He mainly works with clients on areas around:
- Vulnerability Management Programs
- Security architecture
- Cybersecurity strategy and roadmap
- Risk management process engineering and the implementation of GRC
- Advising clients on the application of Artificial Intelligence and Machine Learning in - - -- - Cybersecurity
- Helping clients build Trustworthy AI
Aastha Chouhan
Aastha is part of the Cyber Emerging Technologies team at Deloitte Singapore, focusing on innovations in cybersecurity operations for clients by incorporating technologies such as machine learning, artificial intelligence and data analytics. In addition, Aastha is exploring the introduction of services around Trustworthy AI to clients in Singapore.
Aastha has been working in the consulting space since her undergrad graduation in 2018. Her prior work experience focused on Cybersecurity Strategy, Governance and Risk Management projects. Aastha graduated with a degree in Information Systems Engineering from the Singapore University of Technology and Design. Outside of work, she is an avid reader, loves singing and a passionate advocate for mental health awareness.
Please submit the following documents to [email protected]:
- Coloured copy (back and front) of NRIC for Singaporeans and PRs, or "Employment"/"S" Pass for foreign applicant
- Application form
Course Fee
1 Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
2 Enhanced Training Support for SMEs: SME-sponsored employees (Singaporean Citizens and PRs) aged 21 and above may enjoy subsidies up to 90% of the course fees.
Participants are required to achieve at least 75% attendance and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.
Participants are required to complete all surveys and feedbacks related to the course.
The course fees are reviewed annually and may be revised. The University reserves the right to adjust the course fees without prior notice.
Singapore University of Social Sciences reserves the right to amend and/or revise the above schedule without prior notice.
For clarification, please contact the SUSS Academy via the following:
Telephone: +65 6248 0263
Email:
[email protected]