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Course Outline

Prerequisites

No prior technical expertise is required. Participants will benefit from a fundamental understanding of generative AI platforms, such as Microsoft Copilot for government or comparable enterprise-grade tools.

Intended Audience

  • Senior Leadership and Middle Management
  • Project and Product Managers
  • Functional Heads (Operations, Customer Experience, Communications)
  • Human Resources Business Partners (optional participation)

Introduction: Human Factors in Technology Adoption

  • Analysis of adoption barriers in organizational settings, prioritizing human behavioral factors over technical limitations.
  • Calibration of trust: addressing risks associated with both under-utilization and automation bias (over-reliance).
  • Principles of accountability: clarifying that AI serves as an assistive tool while human personnel retain final decision-making responsibility.

1. Calibrated Reliance in Operational Workflows

  • Defining scope: establishing criteria for appropriate versus inappropriate use cases for AI systems.
  • Intervention protocols: guidelines for pausing output, conducting verification, or escalating issues.
  • Identification of failure modes and early warning indicators.

2. Verification Standards and Quality Assurance

  • Implementation of tiered verification levels (e.g., lightweight, standard, rigorous) based on risk profile.
  • Recognition of error indicators: hallucinations, outdated information, lack of citation, and sensitive data exposure.
  • Foundations of traceability: requirements for logging secondary sources and maintaining an audit trail for government compliance.

3. Accountability and Decision Integrity

  • Delineation of roles: specifying responsibilities for validation, decision authority, and formal sign-off.
  • Criteria for escalation and defined thresholds for major decisions.
  • Documentation standards: establishing minimum evidence requirements and maintaining decision logs for government oversight.

4. Development of Team Operating Agreements (Core Output)

  • Framework for working agreements: defining triggers, actions, evidentiary requirements, ownership, and consequences.
  • Application examples across common workflows (e.g., official correspondence, data analysis, public communications, internal documentation).
  • Alignment of team protocols with agency policies, security classifications, and confidentiality regulations.

5. Building Trust and Psychological Safety

  • Addressing common workforce concerns: fears of displacement, erosion of professional competence, and changes in hierarchical status.
  • Communication strategies for leadership: framing AI implementation to mitigate hype and anxiety.
  • Mitigating polarization between differing viewpoints on technology adoption through structured dialogue.

6. Incident Response for AI-Related Events

  • Classification of incidents based on severity (low, medium, high impact).
  • Procedures for containment and internal or external communication as required by government protocols.
  • Continuous improvement: updating operational agreements, templates, and standard operating procedures based on post-incident analysis.

7. Initial 30-Day Implementation Plan

  • Establishment of routine operations: weekly reviews for prompts, incidents, and decision outcomes.
  • Key performance indicators: metrics focused on adoption quality, error rates, escalation frequency, and workforce trust levels.
  • Determination of next steps and long-term follow-up strategy.

Requirements

  • Fundamental understanding of standard administrative procedures, including electronic correspondence, document management, and collaborative scheduling.
  • Previous experience with generative artificial intelligence platforms, such as ChatGPT or Microsoft Copilot, is advantageous but not mandatory for this initiative designed specifically for government professionals.

Target Audience

  • Team Leads and Middle Management Personnel
  • Project and Product Managers
  • Functional Directors (Operations, Customer Service, Sales)
  • Human Resources Business Partners
 7 Hours

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