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- Recognition of error indicators: hallucinations, outdated information, lack of citation, and sensitive data exposure.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
Testimonials (4)
Meeting efficiency is something that's fairly "basic", but not thought about a lot and with really large implications on people/company time. Understanding these best practices and keeping them top-of-mind will be of immediate help.
Dan Moffatt - Chris Courtemanche
Course - Personal Efficiency and Managing Meetings
Provided and explained very clearly a lot of foundational concepts, which fit well with the team's level of learning. The exercises were very engaging and I believe my team were comfortable and participated very well. Coordinating with the trainer as well was very seamless.
Christlan Tolentino - Canadian Blood Services
Course - Critical Thinking
I especially appreciated the instructor’s ability to give thorough, well-explained answers to questions specific to my personal situation.
HASAN TAHA URLU - Huber Turkiye
Course - Assertiveness
the exercises and the way the trainer was explaining