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Course Outline
Overview of Artificial Intelligence Integration in Human Resources for Government
- Capability assessment of artificial intelligence tools for government, including large language models, process automation, and data analytics
- Application of AI to core human capital functions and their impact on public service delivery
- Frameworks for assessing organizational readiness and defining the scope of AI pilot programs
Ethical AI, Data Privacy, and Regulatory Compliance in the Public Sector
- Foundations of data privacy and the secure handling of personally identifiable information in government HR systems
- Addressing algorithmic bias, ensuring fairness, and adhering to statutory requirements in recruitment and performance management
- Establishing governance structures, approval workflows, and documentation standards for AI deployments for government agencies
Effective Prompting Strategies and Generative Workflows for Public Sector HR
- Developing precise prompts for creating job classifications, summarizing candidate assessments, and drafting offer documentation
- Utilizing standardized templates and prompt structures for official communications and policy development
- Implementing iterative refinement, output validation, and mandatory human-in-the-loop oversight mechanisms
Process Automation and Workflow Architecture
- Architecting end-to-end workflows that integrate large language models, data management tools, and Human Resources Information Systems
- Automating routine administrative tasks such as interview coordination, inquiry response, and onboarding verification
- Overview of integration patterns utilizing APIs and low-code platforms to enhance operational efficiency
Workforce Analytics and AI-Assisted Decision Making
- Leveraging AI for strategic workforce planning, including turnover forecasting, skills gap identification, and targeted learning interventions
- Interpreting analytical model outputs and communicating actionable insights to leadership and stakeholders
- Defining key performance indicators and evaluating return on investment for AI-driven human capital initiatives
Change Management and Implementation Strategy
- Forming interdisciplinary teams and executing stakeholder engagement plans aligned with government objectives
- Structuring pilot phases, rollout schedules, and capacity building for HR staff
- Addressing operational sustainment through continuous monitoring, system maintenance, and iterative improvement
Practical Exercise: Developing an AI-Enabled HR Solution for Government
- Collaborative activity: identifying a specific operational challenge, designing a solution, and constructing corresponding prompts and workflows
- Peer review and presentation with focus on ethical compliance and operational viability
- Establishing actionable next steps and providing templates for pilot execution
Conclusion and Path Forward
Requirements
- Foundational knowledge of human resources processes and standard public sector terminology
- Proficiency in using spreadsheet software and web-based applications
- Commitment to the ethical and practical application of AI in government human capital management
Target Audience
- Human Resources managers and business partners
- Talent acquisition specialists and people operations staff
- HR data analysts and workforce analytics practitioners
14 Hours
