AI Ethics and Governance Fundamentals (Synchronous and Asynchronous E-Learning)

AI Ethics and Governance Fundamentals (Synchronous and Asynchronous E-Learning)

Course Provider

NTU Academy for Professional and Continuing Education

Certification

FlexiMasters

Academic Unit

2.0

Introduction

Deloitte Insight’s State of the Artificial Intelligence in Enterprise 2022 report found that 94% of business leaders polled said Artificial Intelligence (AI) is critical to their success but 50% cited managing AI-related risks as one of their top concerns. This basic course introduces AI Ethics and Governance (AIE&G) issues relevant to the many industries that exploit AI solutions. These issues include internal governance structures, level of human involvement in AI decision making, operations management, stakeholder interaction and communication, etc. It gives an overview of the Singapore Computer Society’s comprehensive AIE&G Body of Knowledge 1.0 (BoK) document and proposes an AI Governance Framework for organisations that is built on the understanding of well-established guidelines for Responsible AI, best practices in adapting an organisation and the use of tools that can help manage and mitigate AI-related risks. At the end of this course, learners will be able to put into practice appropriate AI governance considerations and processes in designing and deploying AI solutions.

This course is credit-bearing (2 AU) and stackable to:

  • Graduate Certificate in Responsible Applied Artificial Intelligence (6 AU)
  • FlexiMasters in Responsible Applied Artificial Intelligence (15 AU)
  • Master of Computing in Applied Artificial Intelligence (30 AU)

Learners will receive their Statement of Accomplishment (for a grade of D and above) or Certificate of Participation for this course—dependent upon their assessment performance.

This course is part of the FlexiMasters in Responsible Applied Artificial Intelligence.

This course is offered as part of the Certificate in AI Ethics and Governance programme and is not available for registration as an individual course.

The Certificate in AI Ethics and Governance programme is offered in collaboration with the Singapore Computer Society (SCS), who will reach out to applicants to provide more information about this certification.


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

  • Describe what is AI ethics and relate it to ethical governance issues proposed in published international and Singapore guidelines such as the EU Trustworthy AI and PDPC’s Model AI Governance Framework.
  • Explain the objectives of the AIE&G BoK and how good AI governance can be achieved by addressing issues such as internal governance, human-centricity, operation management and stakeholder communications.
  • Describe how organisations can be adapted to pro-actively manage the different ethical risks of a proposed AI solution over its entire AI lifecycle.
  • Perform AI-related risk management using the Risk Impact Matrix.
This course is suitable for learners working in industries or organisations that have or are intending to deploy AI solutions in a responsible manner. It is also suitable for educators and trainers involved in cultivating IT professionals with a Responsible AI mindset.

Standard Course Fee: S$4360


SSG Funding SupportBEFORE funding & GSTAFTER SSG funding
(if eligible under various schemes)
& 9% GST
Course FeeCourse Fee Payable
Singapore Citizen (SC) and Permanent Resident (PR)
(Up to 70% funding)
$4,000.00$1,308.00
Enhanced Training Support for SMEs (ETSS)$4,000.00$508.00
Singapore Citizen aged ≥ 40 years old SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 90% funding)
$4,000.00$508.00

  • NTU/NIE alumni may utilise their $1,600 Alumni Course Credits for this course. Click here for more information.
  • Learners can utilise their SkillsFuture Credits for this course.
  • Singaporeans aged 40 years and above are able to use their SkillsFuture Credit (Mid-Career) top-up of $4,000 to offset the course fee after SSG funding.
FlexiMasters in Responsible Applied Artificial Intelligence
  • Addressing Issues in AI Ethics and Governance (3 AU)
  • Responsible Generative AI and Applications (3 AU)
  • Addressing Issues in Generative AI System Design and Development (2 AU)
  • Human-centred Artificial Intelligence User Experience and Data Visualisation (3 AU)
  • Responsible Agentic Artificial Intelligence and Applications (2 AU)