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Course Outline
- The evolving role of leadership within the artificial intelligence landscape
- Leveraging AI as a decision-support mechanism rather than a replacement for human judgment
- Utilization of AI tools to facilitate data analysis, inform strategic decisions, and enhance team alignment
- Incorporation of AI into established leadership and management workflows
- Application of traditional leadership frameworks within hybrid Human-AI operational environments
- Adaptation of motivational strategies, leadership styles, and situational leadership for AI-enabled workforces
- Management of teams exhibiting varying levels of AI literacy and maturity
- Establishment of objectives, performance indicators, and accountabilities in AI-integrated settings (e.g., OKR, KPI)
- Ethical considerations, risk management, and governance structures for organizational AI deployment
- Strategies for communicating AI adoption initiatives and mitigating workforce concerns
- Structured exercises to design Human-AI governance models relevant for government applications
- Development of an action plan to ensure the responsible and sustained integration of AI technologies
Requirements
* Employed by a federal entity that currently utilizes, or is in the process of implementing, artificial intelligence solutions for government operations.
* Possess foundational familiarity with recognized AI applications, including but not limited to ChatGPT, Gemini, and Copilot.
14 Hours