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Advanced Certificate in Applied Artificial Intelligence (AI) Programming Module 6: Responsible AI: Navigating Ethics, Risk Management, and Governance

  • Analytics & Tech
  • Artificial Intelligence
  • Innovation & Business Improvement
Next Intake: 20 Nov 2025 (Thu)
  • Basic
  • SkillsFuture
  • Short Courses
  • This module is part of Advanced Certificate in Applied Artificial Intelligence (AI) Programming
Next course starts on
20 Nov 2025 (Thu) See Full Schedule
Fee
SGD2,180* (as low as SGD254 after maximum funding) Learn More
Duration

2 Full Days (Weekdays)

Level
Basic

Who Should Attend

  • AI Developers and Engineers
  • Data Scientists and Machine Learning Practitioners
  • AI Product Managers and Business Analysts
  • Compliance and Legal Professionals
  • Risk Managers and Governance Professionals

PREREQUISITES

There are no prerequisites for this module. Prior knowledge on any of the topics is not required.

Overview

The "Responsible AI: Navigating Ethics, Risk Management, and Governance" module is an essential 2-day training designed for professionals engaged in Generative Artificial Intelligence (AI) projects.

This module offers a comprehensive understanding and practical insights into ethical AI deployment, risk management, and governance. Participants will explore the core principles of Responsible AI, gain a deep understanding of AI ethics, and learn how to implement effective AI governance frameworks. The training includes interactive workshops, case studies, and role-playing exercises, enabling participants to actively apply their learnings to real-world scenarios.

Learning Objectives

At the end of the 2-day module, participants will be able to: 

  • Understand and articulate the foundational principles of Responsible Artificial Intelligence (AI)
  • Integrate AI ethics and principles within their projects, focusing on accountability, transparency, fairness, privacy, robustness, security and safety
  • Navigate and incorporate AI governance models and frameworks
  • Identify, assess, and mitigate specific risks associated with Generative AI
  • Apply practical strategies for managing AI risks throughout the lifecycle of Generative AI projects

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.

Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.

Calculate Programme Fee

Click here for more information about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$654

(After SSG Funding 70%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$654

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$254

(After SSG Funding 70%
+ MCES Funding 20%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$254

(After SSG Funding 70%
+ MCES Funding 20%)

International Participant

$2,180

(No Funding)

$2,180

(No Funding)

$2,180

(No Funding)

All prices include 9% GST

Please note that the programme fees are subject to change without prior notice.

Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.

Self Sponsored

SkillsFuture Credit

Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.

This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.

Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).

Workfare Skills Support Scheme

From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.

Company Sponsored

Enhanced Training Support for SMEs (ETSS)

  • Organisation must be registered or incorporated in Singapore
  • Employment size of not more than 200 or with annual sales turnover of not more than $100 million
  • Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
  • Trainees must be Singapore Citizens or Singapore Permanent Residents
  • Trainees must not be a full-time national serviceman
  • Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here. 

Please click here for more information on ETSS.

Absentee Payroll

Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:

AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)

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Trainers

Jean-Philippe Hanquez
Data & AI Operational Risk Management
DBS Bank
Jean-Philippe Hanquez
Data & AI Operational Risk Management
DBS Bank

Jean-Philippe HANQUEZ is a Certified AI Governance Professional with over 25 years of expertise in technology innovation and risk management across Asia's banking sector. Currently serving in DBS "Transformation & Data", he manages operational risks for Data and AI initiatives at Southeast Asia's leading bank. His extensive career covers Hong Kong, Seoul, Taipei, and Singapore, where he led IT departments and drove innovations in consumer financing and corporate banking at BNP Paribas, European leading bank. For eight years, he led the creation of a non-financial risk management department for BNP Paribas Corporate Banking APAC, significantly enhancing operational resilience. Prior to DBS, Jean-Philippe founded a boutique consultancy specializing in Responsible AI, AI Governance, and Risk Management, guiding organizations from their current AI maturity level toward implementing ethical, compliant, and value-driven AI practices. With a Master's in Information Technology and deep regional experience, he empowers organizations to capitalize on AI opportunities while ensuring risks remain within their defined risk appetite and regulatory boundaries.

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