Generative AI Evaluation: Assessing Performance, Bias, and Ethical AI
About This Course
The rise of Generative AI has significantly impacted multiple industries, including finance, healthcare, legal services, education, and media. As AI-generated content becomes more prevalent, there is a growing demand for professionals skilled in evaluating AI model performance, bias detection, and ethical compliance.
In response to these industry needs, Singapore has introduced initiatives such as the Generative AI Evaluation Sandbox led by Infocomm Media Development Authority (IMDA). This initiative aims to establish a structured framework for assessing AI models, ensuring transparency, accountability, and safe AI adoption across various sectors.
https://www.imda.gov.sg/resources/press-releases-factsheets-and-speeches/press-releases/2023/generative-ai-evaluation-sandbox
Additionally, the SkillsFuture Singapore (SSG) Skills Demand for the Future Economy (SDFE) 2025 report has identified AI evaluation as a priority skill under the "Special Mention" category. This highlights the increasing strategic importance of AI governance, validation, and performance assessment in Singapore’s digital economy. The report underscores the need for structured training programs that equip professionals with the expertise to assess generative AI outputs for accuracy, fairness, and regulatory compliance.
https://jobsandskills.skillsfuture.gov.sg/sdfe-2025/priority-skills
What You'll Learn
• Able to explain the architecture and principles of Generative AI models.
• Able to apply AI evaluation techniques including accuracy, coherence, and output reliability.
• Able to identify and mitigate bias in AI-generated content.
• Able to align AI evaluation practices with Singapore’s AI governance and ethical frameworks.
• Able to assess AI models in different industry contexts and regulatory environments.
• Able to Compare Generative AI models and assess their feasibility for business applications.
Entry Requirements
Knowledge and Skills
a. Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
b. Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
a. Positive Learning Attitude
b. Enthusiastic Learner
Experience
a. Minimum of 1 year of working experience.
Target Year Group
18-65 years old