AI Ethics for Leaders
Governance Without the Code - 1 day
Empowering business decision‑makers with ethical AI strategies—no tech degree required.
AI is transforming everything from how we handle customer service to how we manage finances, but here's the thing—you don't need to be a tech expert to lead responsibly in this space. Even if you can't code, you're still the one making the big decisions about how your company uses AI safely, fairly, and profitably.
This course cuts through all the technical complexity and focuses on what you actually need to know: how to set up the right frameworks, create smart policies, and learn from real examples that worked (or didn't). We'll cover the stuff that keeps executives up at night—like making sure your AI doesn't accidentally discriminate against certain groups and staying ahead of the regulations that are coming down the pipeline.
The instructor has been in leadership roles for over 30 years and knows how to explain this without drowning you in tech speak. You'll walk away with practical tools you can actually use, whether you're a seasoned executive or just starting to grapple with AI in your organization.
Learning Outcomes
By day’s end, participants will be able to:
- Clearly explain core AI ethics principles—fairness, accountability, transparency, privacy—using business language
- Recognize AI risks in operations, HR, marketing, and customer care
- Navigate emerging regulations and global trends without legal complexities
- Collaborate on simple governance checklists and risk‑assessment tools
- Draft executive-level policy elements and governance processes
- Design a practical action plan to embed ethics into AI projects from start to finish
Prerequisites
- No technical background required
- Some familiarity with how AI might be used in your business is helpful
- Comfortable with interactive discussions and case studies
Course Outline (Detailed & Non-Technical)
- AI in Business Today – A Leadership Perspective
- Snapshots of AI in marketing, HR, support, logistics
- Real-world examples: Amazon’s fairness fiasco, law firms adapting to ChatGPT, chatbot risks
- Business risks: reputational, regulatory, customer trust
- Ethical Foundations for Business Leaders
- What ethics means in a business setting—avoiding bias, protecting privacy, ensuring accountability
- Simple scenario walkthroughs: using AI in hiring, customer profiling, content moderation
- Interactive polling: What ethical dilemma resonates most with your company?
- Global Trends & Regulations Simplified
- Overview of the EU AI Act without legalese
- Growing expectations in the US, APAC, ASEAN—and what they may mean for you
- Short quiz: “Which risks should your business prioritize?”
- Governance Frameworks—Your Practical Toolbox
- 4 key pillars: fairness, accountability, transparency, data privacy
- Filling out easy risk assessment tables—no tech jargon, just business questions
- Executive checklist: "When is AI project ready to present to leadership?"
- Roles, Responsibilities & Ethics in Action
- Defining leadership roles, ethical officers, and decision checkpoints
- Who needs to know what—and when? (executives, HR, CMO, legal)
- Mini case studies: What good governance looks like in marketing vs. operations
- Policy Workshop—Drafting Essentials That Speak Business
- Breakout: Draft plain-English policy elements—objective clarity, monitoring rules, audit triggers
- Peer feedback session: Does this policy resonate with decision-makers?
- Building Your Governance Roadmap
- 3-phase plan: Quick‑win pilot, team training, governance scale-up
- Communications strategy: Getting leadership and stakeholder buy-in
- Tracking success: Sample KPIs—risk logs, audit results, trust surveys
- Wrap‑Up & Leader’s Takeaway
- Recap of core models and where to go next
- Distribution of easy-to-use “meeting templates,” board-level one-pagers, and governance cheatsheets
- Q&A: Your workflows and your governance concerns—let’s connect them
Why This Course Hits the Mark
- No technical distractions—everything is framed for decision‑makers and team leads
- Real business scenarios, such as HR bias in AI and regulatory compliance
- Interactive learning: polls, group drafting, governance games
- Outcome-driven: you walk away with ready-to-use tools and templates
- Led by a 30+‑year veteran—contextualized with practical examples and business insight
Practical, connected learning
My wider training approach brings hands-on implementation and systems thinking together, connecting technology with real operational needs.