Leland+ Content Library
AI Ethics Leader’s Guide
Learn how to model responsible AI use and communicate ethical standards to your team.
Audit an AI Use Case for Risk
Practice identifying potential risks and safeguards for a specific AI use case.
AI Ethics Policy Template
Use this template to draft or refine your organization’s responsible AI policy.
Responsible AI Frameworks and Laws at a Glance
Review major frameworks and regulations shaping responsible AI practices.
Common AI Roadblocks (and Quick Wins)
Identify frequent barriers to AI adoption and learn practical ways to overcome them.
Why Responsible AI Matters
Learn the core principles of responsible AI and why trust is critical for sustainable adoption.
Responsible AI Principles
Review five key principles that ensure AI supports people rather than replaces them.
Spotting Bias & Building Fairness in AI
Discover how to identify and reduce bias in AI-generated content and workflows.
Personalization & Recommendations (using ChatGPT)
See how AI tailors onboarding, learning, or marketing experiences to individual needs.
Identify 3 AI Opportunities in Your Organization
Practice spotting AI opportunities and outlining your first potential pilot ideas.
AI ROI Case Studies (Quick Wins)
Review short case studies showing how small AI pilots can generate measurable results.
Why AI Adoption Fails (and What Success Looks Like)
Analyze real-world case studies to understand why AI initiatives stall and how successful ones sustain progress.
Routing & Process Support (using ChatGPT)
Learn how AI automates tagging, categorization, and workflow routing to reduce manual work.
How Real AI Success Happens
Learn from case studies of organizations that scaled AI responsibly through pilots and trust.
Tracking & Documentation (using Notion AI)
See how AI automates meeting notes, summaries, and project documentation for faster reporting.
Translation & Accessibility (using DeepL and ChatGPT)
Discover how AI improves clarity and inclusivity through translation and plain-language rewriting.
Getting Your Data Ready for AI
Learn how to prepare and structure data for AI by focusing on access, cleanliness, and context.
Leadership & Action: Framing AI for Success
See how leadership communication and small pilots build trust and accelerate adoption.
Checking & Quality Control (using Writer AI)
Learn how AI reviews text for accuracy, tone, and consistency to ensure quality output.
From Ideas to Action
Learn how to turn identified AI opportunities into a defined pilot plan and actionable next steps.
