Overview

This section equips senior leaders to turn frontier generative AI (e.g., ChatGPT-5 class systems) into governed, high-value workflows. You’ll learn how to pair long-context reasoning, multimodal analysis, memory, and safe tool-calling with clear accountability, policy, and measurement. The emphasis is executive: not “prompts,” but operating models: inputs, roles, output schemas, validation gates, and decision rights, so AI accelerates strategy while staying inside risk appetite.

What you’ll learn

• Leadership playbook for AI: governance structures, role clarity (board, ELT, risk/compliance, product), and escalation triggers.
• Operationalization: design repeatable workflows that produce decision-grade briefs, decks, and tickets with citations and reconciliation.
• Decision-making under uncertainty: ranges vs. point estimates, if-then thresholds, model drift signals, and pause/expand criteria.
• Employment & workforce: task redesign, reskilling plans, oversight of AI-assisted roles, and fair use safeguards.
• Trust & communication: stakeholder-specific disclosures, contestability/appeals, and proportionate transparency (avoid “explainability theater”).

Inside the section (3 modules)

1. Practical Applications of Advanced Generative AI (ChatGPT-5 and Beyond)
   Capabilities to controls: memory, multimodal evidence synthesis, analysis mode, function calling, structured outputs.
2. AI Leadership in Practice: Employment, Governance & Strategic Decision-Making
   Operating model, RACI, policy guardrails, workforce transformation, board-ready thresholds.
3. Communicating AI Risks to Leadership & Stakeholders
   Risk framing, uncertainty communication, consent/contestability, documentation that enables oversight.