Certified Artificial Intelligence Governance Professional (AIGP)
- Analytics & Tech
- Artificial Intelligence
- Leadership & Management
This module is conducted in-person.
3 days; 9am to 6pm
Who Should Attend
• Heads of departments
• Data Protection Officers
• Compliance Managers (Dedicated / Part-time) or personnel with data protection responsibilities.
• Personnel handling developing AI solutions.
Prerequisites:
As this is not a foundation course, participants are expected to have:
- A foundational understanding of AI concepts and applications; and
- Prior experience or knowledge in roles related to AI governance, compliance, or risk management;
- Familiar with industry-standard AI frameworks and guidelines; and
- Tertiary qualifications; and/or
- At least 2 years of working experience
Overview
Every day we hear more about the potential of AI-powered systems that will transform how we work, create, solve problems, communicate, and even diagnose and treat illness. The possibilities of advanced AI seem unlimited. But without proper testing, evaluation, validation, and verification at each stage of AI development, foundational AI models could perpetuate biases and amplify other societal challenges that will cascade through later systems and remain for decades. We must continue to build and refine the governance processes through which trustworthy AI will emerge and we must invest in the people who will build ethical and responsible AI. Those who work in compliance, risk management, legal and governance together with data scientists, AI project managers, model ops teams and others must be prepared to tackle the expanded equities at issue in AI governance.
To meet this demand, the International Association of Privacy Professionals (IAPP) has developed the Artificial Intelligence Governance Professional (AIGP) certification and training for the emerging AI governance profession. An AIGP trained and certified professional will know how to implement and effectively communicate across teams the emerging best practices and rules for responsible management of the AI ecosystem. We are privileged to grow a community of credentialed AI governance professionals, through which resources and expanding knowledge can be brought together in one place.
Learning Objectives
At the end of the 3-day course, participants will be able to:
- Define artificial intelligence (AI) and machine learning; understand overview of the different types of AI systems and their use cases; and position AI models in the broader socio-cultural context
- Understand the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the characteristics and principles essential to responsible and ethical AI
- Understand the existing laws that govern the use of AI, outline key GDPR intersections and provide awareness of liability reform
- Identify and describe global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be responsibly governed
- Describe the AI development life cycle and the broad context in which AI risks are managed
- Explain how major AI stakeholders collaborate in a layered approach to manage AI risks while recognising the potential benefits AI systems have for society
- Be able to map, plan and scope the AI project, testing and validating the AI system during development, and managing and monitoring AI systems after deployment
- Understand current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues
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 Participation issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$1,177.20 (After SSG Funding 70%) |
$457.20 (After SSG Funding 70% |
$1,177.20 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$457.20 (After SSG Funding 70% |
$457.20 (After SSG Funding 70% |
$457.20 (After SSG Funding 70% |
|
International Participant |
$3,924 (No Funding) |
$3,924 (No Funding) |
$3,924 (No Funding) |
All prices include 9% GST
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 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.
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)
Intake Information
This module is conducted in-person.
| Course | Dates |
|---|---|
| INTAKE 6 | 2 - 4 Dec 2024 [Fully Subscribed] |
| INTAKE 7 | 13 - 15 Jan 2025 [Open for Registration] |
*Online registration will close 5 calendar days before the course start date
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