Ethical AI in Action

Ethical AI in Action

Empowering Business Leaders with Real‑World Governance Tools - 1 day

Equip yourself with a robust ethical AI governance toolkit — grounded in business realities, not ivory‑tower theory.

The business world is rushing to embrace AI, but we're not keeping up with understanding what that actually means ethically and how to govern it properly. Experts are sounding the alarm—including Singapore's NCS chief scientist—that AI regulation is already falling behind the pace of technological development. This is creating real problems around fairness, transparency, and ensuring benefits reach everyone globally, not just those who can afford the latest tech.

At the same time, executives are finding it tough to bring AI ethics into their boardroom discussions. They're juggling legal risks, environmental concerns, and potential damage to their company's reputation, and it's not always clear how to balance these competing priorities when making decisions about AI adoption.

This course, led by an instructor with over 30 years of industry experience, strips away academic theory. Instead, you’ll leave with real-world governance frameworks, adaptable policies, and hands-on tools tailored for enterprise use.

Learning Outcomes

By the end of this session, participants will be able to:

• Articulate key principles of AI ethics and their business relevance
• Navigate global regulatory trends, including the EU AI Act
• Define and implement governance pillars—transparency, accountability, fairness, and security
• Use live tools and audit processes to evaluate AI systems
• Draft policy components for risk-based oversight and board reporting
• Build a roadmap for trustworthy, sustainable AI aligned with organizational values

Prerequisites

• Basic understanding of AI/ML concepts
• Familiarity with current business processes where AI is applied
• No legal or technical pre-reqs required—just business acumen and curiosity

Training Outline

1. Why Governance Matters Now
   1. Case studies: NCS warnings on uneven deployment
   2. The "AI trust gap": % of firms report adequate governance
   3. Business case: How ethical AI ties to adoption, revenue, and risk mitigation
2. Global Regulatory Navigator
   1. EU AI Act essentials: scope, risk levels, timelines, and implications
   2. Fragmented frameworks: from EU to US states to CoE treaty
   3. Industry spotlight: finance’s gap (91% use AI vs 28% governed)
3. Governance Pillars & Frameworks
   1. Core pillars: explainability, auditability, privacy, fairness, human oversight, sustainability
   2. Business template: ResAI risk-based model for generative AI
   3. ISO/IEC standards overview: ISO 42001, bias, lifecycle
4. Hands-On Tools & Techniques
   1. AI toolkits: logging, audit trails, model cards, drift detection
   2. Risk assessment demo: applying ResAI framework to chatbots
   3. Environmental impact scan: carbon, energy, water
5. Governance in Action: Roles & Roadmaps
   1. Board oversight & ethics councils
   2. From pilot to enterprise: AI team roles and escalation matrix
   3. Industry live case: law firms balancing AI use and confidentiality
6. Policy Drafting Workshop
   1. Breakout: craft key clauses—purpose, risk categorization, audit frequency, transparency, KPIs
   2. Peer review: simulate internal governance review
   3. Feedback & iteration
7. Implementation & Next Steps
   1. Governance maturity roadmap: quick wins to long-term initiatives
   2. Training & awareness programs for staff and leadership
   3. Measuring success: trust metrics, audit outcomes, regulatory alignment