Why Kajima Chose AI Governance Training in 2026

The driver: adopt AI without the legal exposure

Kajima, a major Japanese construction and engineering firm with Singapore operations, wanted to embrace generative AI without the risk. The gaps were clear: PDPA compliance, confidential data being ingested by public AI models, copyright exposure from AI-generated content, and the absence of a clear internal governance framework.

What the one-day WSQ programme covered

• Ethical principles for evaluating AI outputs
• Privacy techniques — data anonymisation aligned with PDPA
• Responsible development — intellectual property and governance frameworks

The outcome

Participants left understanding the legal boundaries and how to structure internal AI usage policies — a foundation for responsible adoption rather than a blanket ban. The same curriculum is our public WSQ Fundamentals of AI Ethics and Responsible AI course.

The funding maths

Because it is WSQ-accredited, eligible Singaporeans and PRs get up to 70% funding (up to 90% for SMEs and MCES-eligible learners), staff can apply SkillsFuture Credit, and companies can stack SkillsFuture Enterprise Credit (SFEC) — bringing the per-participant cost down dramatically. Check eligibility and dates.

FAQ

Is this only for legal or compliance teams?

No — it is designed for any staff using AI, so the whole organisation shares one governance baseline.

Does it cover PDPA specifically?

Yes — data anonymisation and privacy techniques are aligned to PDPA requirements.

How much can we save with funding?

WSQ funding plus SFEC can reduce the per-participant cost to a fraction of the list fee.

What to do next

1. List the AI risks your organisation is currently exposed to (data, copyright, policy)
2. Reserve seats in the WSQ Fundamentals of AI Ethics and Responsible AI class, or ask about an on-site cohort
3. Leave with a governance foundation for responsible AI adoption