In a world increasingly shaped by artificial intelligence, how can professionals ensure its ethical and responsible use within their organisations?
This course aims to equip accountants and auditors with the knowledge and tools to address the challenges of AI governance and ethics. Explore the principles of Responsible AI, understand its significance in your work, and develop practical strategies for navigating its governance and ethical challenges. At the end of this course, participants will be prepared to apply Responsible AI principles to their daily work and lead ethical AI practices within their organisations.
On the completion of this course, you will be able to:
- Understand comprehensive AI governance within your organisation;
- Identify opportunities for AI implementation within your organisation;
- Apply ethical considerations in decision-making processes; and
- Develop AI governance plans that align with organisational goals and regulatory requirements.
Programme Outline
- Understanding AI and its Impact in Accounting, Auditing, and Finance
- Overview of AI and Generative AI, and applications in accounting, auditing, and finance.
- Risks of AI and Generative AI
- Case studies to outline the inherent risks of AI technologies, focusing on issues such as data privacy, security vulnerabilities, algorithmic bias, misinformation, intellectual property concerns, and fraud.
- Responsible AI Principles
- Introduction to AI governance landscape and Responsible AI principles.
- Activity 1: Group discussion to propose controls for each Responsible AI principle, with the sharing of insights, analyses, and practical applications.
- AI Governance Strategy
- Introduction to AI governance landscape and Responsible AI principles.
- Strategies for implementing AI governance for accounting, audit, and finance use cases, including regulatory compliance, risk management, and ethical AI use policies. Case studies from KPMG’s experience navigating the regulatory and framework landscape.
- Activity 2: Group role-play to develop an AI governance framework for a virtual firm, followed by a brief presentation, a discussion on how to implement these strategies in your organisation, and input on the proposed strategies.
Training MethodologyThe training adopts a highly interactive and engaging approach, intertwining lectures with practical, hands-on activities such as group discussions, case study analyses, role-playing scenarios, and simulation exercises. This methodology ensures participants grasp key concepts in AI governance, ethics, and assurance, while also applying them to real-world situations within their professional realm.
Closing Date for Registration
1 week before programme or until full enrolment.
Intended For
Accountants, auditors, and finance professionals adopting AI solutions in their work with clients and within their organisation
Competency Mapping
Category 2 = 2.00 Hours
Category 5 = 2.00 Hours
Schedule & Fees
Date & Time
12 Aug 2025 (2:00 PM - 6:00 PM)
Fee (inclusive of GST)
SGD pricing -
For Members:
$ 221.27
For Non-Members:
$ 263.78
Programme Facilitator(s)
Team of Professionals (E200)
Venue
60 Cecil Street
ISCA House
Singapore 049709
Date & Time
19 Nov 2025 (2:00 PM - 6:00 PM)
Fee (inclusive of GST)
SGD pricing -
For Members:
$ 265.96
For Non-Members:
$ 316.10
Programme Facilitator(s)
Team of Professionals (E200)
Venue
60 Cecil Street
ISCA House
Singapore 049709
Testimonial
Funding
1] NTUC Union Training Assistance Programme (UTAP)
UTAP (Union Training Assistance Programme) is an individual skills upgrading account for NTUC members.
NTUC members enjoy 50% *unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 01 April 2024 and 31 March 2025. *This excludes miscellaneous fees such as GST and registration fee etc.
This course is approved for UTAP support for intakes conducted between 19 March 2025 – 31 March 2027.
As UTAP is given on calendar year basis, and calculated based on year of training taken, it cannot be accumulated.
- Maintained paid-up NTUC membership before course, throughout course duration and at the point of claim and;
- Course by training provider must be supported under UTAP and training must commence within the supported period and;
- Unfunded course fee must not be fully sponsored by company or other types of funding
- Unfunded course fee must be S$20.00 and above, and;
- Member must achieve a minimum of 75% attendance for each application and sat for all prescribed examination(s), if any and;
- UTAP application must be made within 6 months after course ends.
To submit for UTAP claims, please visit http://skillsupgrade.ntuc.org.sg/. Terms and conditions apply.
Should you have queries on the funding scheme, you can email to UTAP@e2i.com.sg or call NTUC Membership Hotline at 6213-8008
Programme Facilitator(s)
Edmund Heng
Partner, Technology Risk, Advisory
KPMG in Singapore
Edmund leads the Trusted AI, project assurance and emerging technology risk teams, working across multiple functions to provide clients with insights and confidence in digital and technology solutions in KPMG. In his more than 19 years at KPMG, he has led myriad IT assurance and advisory engagements, helping clients to assess, manage and remediate digital-related risks, as well as develop approaches to demonstrate effective compliance through data integrity, security and privacy. Amid the mounting challenges and pressures of an ever-evolving regulatory landscape, Edmund is committed to providing clients with a keen understanding of emerging risks, while improving their business processes and controls. Beyond managing digital risks, he helps organisations turn risks into opportunities, with a focus on driving sustainable business value across industries, such as government, technology, manufacturing, insurance, utilities and financial services.
JY Zheng
Director, Technology Risk, Advisory
KPMG in Singapore
JY is a Director at KPMG in the Technology Risk stream Trusted AI practice. He is well connected with global professionals on deploying Trusted AI assurance frameworks for various clients. He has over 11 years of experience leading large scale Digital Transformation (Intelligent Automation, Transformation Risk) projects in Banking & Finance Services and Government Agencies. Prior to joining KPMG, JY was from a Bank where he led the Intelligent Automation COE for the bank.
In a world increasingly shaped by artificial intelligence, how can professionals ensure its ethical and responsible use within their organisations?
This course aims to equip accountants and auditors with the knowledge and tools to address the challenges of AI governance and ethics. Explore the principles of Responsible AI, understand its significance in your work, and develop practical strategies for navigating its governance and ethical challenges. At the end of this course, participants will be prepared to apply Responsible AI principles to their daily work and lead ethical AI practices within their organisations.
On the completion of this course, you will be able to:
- Understand comprehensive AI governance within your organisation;
- Identify opportunities for AI implementation within your organisation;
- Apply ethical considerations in decision-making processes; and
- Develop AI governance plans that align with organisational goals and regulatory requirements.
Programme Outline
- Understanding AI and its Impact in Accounting, Auditing, and Finance
- Overview of AI and Generative AI, and applications in accounting, auditing, and finance.
- Risks of AI and Generative AI
- Case studies to outline the inherent risks of AI technologies, focusing on issues such as data privacy, security vulnerabilities, algorithmic bias, misinformation, intellectual property concerns, and fraud.
- Responsible AI Principles
- Introduction to AI governance landscape and Responsible AI principles.
- Activity 1: Group discussion to propose controls for each Responsible AI principle, with the sharing of insights, analyses, and practical applications.
- AI Governance Strategy
- Introduction to AI governance landscape and Responsible AI principles.
- Strategies for implementing AI governance for accounting, audit, and finance use cases, including regulatory compliance, risk management, and ethical AI use policies. Case studies from KPMG’s experience navigating the regulatory and framework landscape.
- Activity 2: Group role-play to develop an AI governance framework for a virtual firm, followed by a brief presentation, a discussion on how to implement these strategies in your organisation, and input on the proposed strategies.
Training MethodologyThe training adopts a highly interactive and engaging approach, intertwining lectures with practical, hands-on activities such as group discussions, case study analyses, role-playing scenarios, and simulation exercises. This methodology ensures participants grasp key concepts in AI governance, ethics, and assurance, while also applying them to real-world situations within their professional realm.
Closing Date for Registration
1 week before programme or until full enrolment.
Intended For
Accountants, auditors, and finance professionals adopting AI solutions in their work with clients and within their organisation
Competency Mapping
Category 2 = 2.00 Hours
Category 5 = 2.00 Hours
Programme Facilitator(s)
Edmund Heng
Partner, Technology Risk, Advisory
KPMG in Singapore
Edmund leads the Trusted AI, project assurance and emerging technology risk teams, working across multiple functions to provide clients with insights and confidence in digital and technology solutions in KPMG. In his more than 19 years at KPMG, he has led myriad IT assurance and advisory engagements, helping clients to assess, manage and remediate digital-related risks, as well as develop approaches to demonstrate effective compliance through data integrity, security and privacy. Amid the mounting challenges and pressures of an ever-evolving regulatory landscape, Edmund is committed to providing clients with a keen understanding of emerging risks, while improving their business processes and controls. Beyond managing digital risks, he helps organisations turn risks into opportunities, with a focus on driving sustainable business value across industries, such as government, technology, manufacturing, insurance, utilities and financial services.
JY Zheng
Director, Technology Risk, Advisory
KPMG in Singapore
JY is a Director at KPMG in the Technology Risk stream Trusted AI practice. He is well connected with global professionals on deploying Trusted AI assurance frameworks for various clients. He has over 11 years of experience leading large scale Digital Transformation (Intelligent Automation, Transformation Risk) projects in Banking & Finance Services and Government Agencies. Prior to joining KPMG, JY was from a Bank where he led the Intelligent Automation COE for the bank.