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

Training Provider: NANYANG TECHNOLOGICAL UNIVERSITY
Course Reference: TGS-2024050594
S$1,200
Original: S$4,000
Save S$2,800

About This Course

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.

What You'll Learn

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 European Union (EU) Trustworthy AI and Personal Data Protection Commission (PDPC)’s Model AI Governance Framework.
• Explain the objectives of the AI Ethics and Governance (AIE&G) Body of Knowledge (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.

Course Details

Duration 26 hours
Language English
Training Commitment Not specified
Total Enrolled 35 students
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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