Responsible Use and Ethical Management of Generative AI

Training Partners

Next Session

26 Feb - 27 Feb

Duration

2 Days

Cost

SGD 2180.00

Contact

https://academy.smu.edu.sg/programme-enquiry

Email

https://academy.smu.edu.sg/programme-enquiry

Ideal For

Heads of Departments/ functions with GRC roles (audit, risk, compliance)
Data Protection Officers/ Compliance Managers with data protection responsibilities
Managers in the corporate or public sector involved in digital transformation
Personnel using Generative AI tools in their work

LATEST UPDATE
Participants are required to attain a minimum of 75% training attendance and pass the associated assessment in order to be eligible for course fee funding. Click here for more information.

INTAKE INFORMATION:

26 - 27 Feb 2026 [Open for Registration]
Mode of Delivery: In-person

*Online registration will close 5 calendar days before the course start date or once the maximum class size is met, whichever comes first.

Using Generative Conversational AI and Prompt TechniquesAI technology (driven by OpenAI's ChatGPT) in the corporate world offers real value and can be used to create new and creative solutions.

Looking to develop a comprehensive understanding of the ethical issues and principles involved in using Generative AI for business productivity? Look no further than our 2-day programme on Responsible Use and Ethical Management of Generative AI! Over the course you'll delve deep into the many complexities surrounding the use of Generative AI, exploring topics like potential sources of bias, the importance of transparency and explainability, privacy and security risks, and ethical decision-making in Generative AI.

Throughout the programme, you'll also engage in a variety of activities designed to give you hands-on experience with developing strategies for promoting the ethical and responsible use of Generative AI. Whether you're participating in group discussions about the ethical issues of Generative AI for business productivity or working through a case study on the use of Generative AI for personalized learning, you'll have ample opportunities to put your newfound knowledge into practice. You will develop a deep understanding of the ethical considerations surrounding Generative AI and be well-prepared to tackle the challenges associated with its use in organizations.

TOPICS COVERED

Introduction to Generative AI and Ethics
Bias and Fairness in Generative AI
Privacy and Security in Generative AI
Transparency and Explainability in Generative AI
Ethical decision making and Terms of Use in Generative AI
Responsible Use of Generative AI
Accountability and Governance for Generative AI
Implementing Ethical and Responsible Use of Generative AI

This module is part of the Advanced Certificate in Generative AI, Ethics and Data Protection programme.

Hear our course participant!

Meet our team of trainers:

	Kevin Shepherdson CEO & Founder, Straits Interactive Kevin is the founder and CEO of Straits Interactive, which operates the ASEAN region's largest network of privacy professionals: the Data Protection Excellence (DPEX) Network. Recognised as an expert in data privacy and governance, Kevin authored the book "99 Privacy Breaches to Beware Of" and is also the official APAC trainer for both IAPP (International Association of Privacy Professionals) and the Open Compliance and Ethics Group (OCEG). With several years of experience in management roles at Creative Technology, Sun, and Oracle, Kevin brings his vast knowledge and experience to the fields of Digital Transformation and Generative AI. He has played a pivotal role in the development of the company's major AI initiatives, including the region's first AI DPO Assistant, as well as in the areas of AI governance, Generative AI design, and prompt engineering. Kevin utilises his degree in arts and social science, with a major in English language, as well as a master's in information science. He combines his expertise as a music composer and multimedia producer to contribute to the company's innovative efforts in the area of data privacy and AI.

	Celine Chew Head of Learning & Development, Straits Interactive As a Certified Information Privacy Manager (CIPM) and Head of Learning and Development of Straits Interactive, Celine provides insights into the behavioural change and learning required for teams to embrace change initiatives. She offers comprehensive training for Data Protection Officers (DPOs) and companies, propelling digital transformation in data protection and governance. Celine also has extensive training experience internationally and specialises in the social, emotional and cognitive aspects of learning. She is also an executive coach to senior executives in multinational and regional companies. Combining both her educator, musical and change management background, Celine crafted and trained a tailored curricula for educators on utilising ChatGPT for teaching and learning, training educators' adeptness with these tools. Through her hands-on approach and strategic insights, she has significantly advanced the integration of cutting-edge AI technologies in these vital areas as well as playing a crucial role for the launch of Straits first AI Data Protection Officer (DPO) Assistant toolkit.

	Sam Williams Head, Innovation & Platform Development Straits Interactive After studying Computer Science at Robert Gordons University, Sam ventured into technology and innovation. Sam began his career in major Oil companies, providing Unix support, managing global IT projects, and overseeing offshore IT infrastructure and CCTV systems. Driven by curiosity, he transitioned to the field of Subsea Robotics, leading companies specialising in Remote Operated Vehicle (ROV) systems. With over a decade of experience in the oil and gas industry across the UK and Singapore, Sam shifted his focus to technology in a new environment. He holds a master's degree in data analytics with a focus on predictive Machine Learning and AI applications. This led him to his current role as the Head of Innovation and Platform Development at Straits Interactive, where he creates cutting-edge applications and engages deeply in research, application development, and intricate knowledge graph construction. Sam's journey reflects his dedication to pushing the boundaries of technology and innovation.

PREREQUISITES

Tertiary education or diploma with at least three years of relevant working experience

LEARNING OBJECTIVES

At the end of the course, participants will be able to:

Describe the ethical principles that guide the ethical and responsible use of Generative AI
Analyse the impact of Generative AI on society, including issues related to fairness, bias, privacy, and security
Identify potential ethical issues and challenges associated with Generative AI in various industries and applications
Distinguish between different ethical frameworks and apply them to real-world scenarios
Develop strategies to mitigate the ethical risks of using Generative AI in their organizations
Collaborate with stakeholders to implement ethical and responsible practices for Generative AI within their organizations

LEARNING METHODOLOGY

Dynamic lecturing with slides, further livened up with the use of multi-media audio, video and web materials
Case examples and studies based on practical industry experience
Interactive discussions – participants are encouraged to discuss with peers and interact proactively, sharing their experiences from their respective industries and organizations.
Hands on Activities – for participants to apply concepts introduced in the course
Using technology tools such as ChatGPT, Midjourney, DALL-E

ASSESSMENTS

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.

For more information on assessment and re-assessment policy, click here.

CERTIFICATION

Advanced Certificate in Generative AI, Ethics and Data Protection

Participants are required to attain a minimum of 75% attendance and pass the associated assessment for each of the 6 modules within 3 years in order to be awarded the digital Advanced Certificate in Generative AI, Ethics and Data Protection issued by Singapore Management University.

Participants will receive the course material in the form of digital e-book. To access your digital e-book, you need to install Adobe Digital Editions or BlueFire. Visit - https://bit.ly/ade-ebook-guide for more guidance on how to open the e-book.

		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)
*Please note that prices listed above are inclusive of the new 9% GST, applicable from January 1, 2024.*

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

Workfare Skills Support (WSS) Scheme in replacement of Workfare Training Support (WTS) 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 Scheme

Organisation must be registered or incorporated in Singapore
Employment size of not more than 200 or with annual sales turnover of not more than SGD100 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
Trainers must not be a full-time national serviceman
Trainees will be able to enjoy ETSS funding only if the company's SME's status has been approved. To verify your SME's status, please click here.

# Absentee Payroll

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

# SkillsFuture Enterprise Credit (SFEC)

This course is eligible for SFEC funding. Companies should check their SFEC eligibility on the Business Grant Portal.

REGISTRATION / BILLING MATTERS

Click here to send an enquiry to SMU Academy on matters pertaining to registration and billing.