AI for Knowledge Work & Decision Support Training

AI for Knowledge Work & Decision Support

• Understanding Knowledge Work in the Age of AI
  • What distinguishes knowledge work from task execution
  • Where AI can support thinking—and where it cannot
  • The difference between assistance and authority
  • Risks of outsourcing judgment to AI
• AI as a Thinking Partner
  • Using AI to clarify thinking rather than generate answers
  • Externalizing reasoning and assumptions
  • Asking for AI to surface alternatives and blind spots
  • Maintaining ownership of conclusions
• Framing Problems for AI-Assisted Analysis
  • Defining the decision to be made
  • Clarifying constraints, goals, and tradeoffs
  • Structuring inputs for meaningful AI support
  • Avoiding vague or misleading problem statements
• Exploring Options and Scenarios
  • Using AI to generate multiple options
  • Scenario exploration and “what-if” analysis
  • Evaluating tradeoffs and consequences
  • Stress-testing assumptions and logic
• Structured Reasoning with AI
  • Step-by-step reasoning workflows
  • Breaking complex decisions into components
  • Using AI to challenge, not confirm, conclusions
  • Avoiding circular or biased reasoning
• Managing Bias, Confidence, and Overreliance
  • Understanding how AI amplifies bias
  • Recognizing false confidence in AI outputs
  • Cognitive shortcuts and decision fatigue
  • When AI assistance becomes a liability
• Validation, Accountability, and Decision Ownership
  • Verifying AI-supported analysis
  • Documenting assumptions and inputs
  • Human accountability for decisions
  • Transparency in AI-assisted work
• Applying AI in Real Knowledge-Work Scenarios
  • Strategic planning and prioritization
  • Risk assessment and mitigation
  • Policy, product, and process evaluation
  • Advisory and recommendation workflows
• Ethical and Professional Considerations
  • Responsible use of AI in decision-making
  • Disclosure and trust
  • Organizational expectations and standards
  • Avoiding misuse in sensitive contexts
• Summary and Next Steps
  • Key principles for AI-assisted knowledge work
  • Applying techniques responsibly in daily work
  • Knowing when not to use AI
  • Preparing for advanced AI workflows and system design

Before Taking this Class

Completion of AI Fundamentals for Professionals and Designing Effective Prompts & AI Interactions, or equivalent experience using AI tools responsibly in professional work.

Software/Setup For this Class

Access to an AI assistant tool approved by your organization (e.g., Copilot, ChatGPT, Claude, or similar) is helpful but is not required. If organizational access is not available, the course can still be completed without hands-on tool use.