Explain the legal risks and opportunities associated with AI in employment decisions. Apply federal employment laws and EEOC guidance to AI-assisted workplace practices. Identify governance, documentation, and human oversight practices that reduce legal risk. Evaluate AI tools for compliance, bias, transparency, and vendor accountability. Develop practical recommendations for employers implementing responsible AI.

Explain how employers are using AI across the employment lifecycle. Evaluate discrimination risks under Title VII, the ADA, the ADEA, and related laws. Identify wage and hour, privacy, employee monitoring, and documentation issues. Recommend practical governance, vendor due diligence, and human oversight practices. Advise employers on reducing litigation risk while supporting responsible AI adoption.

Explain why successful organizational change depends on people as much as technology. Apply structured change management principles to AI and digital transformation initiatives. Engage stakeholders and communicate effectively throughout change. Support employee adoption through training, coaching, and trust. Lead ethical, human-centered AI implementation. Sustain change through measurement, reinforcement, and continuous improvement.

Define the characteristics of a project and distinguish projects from operations. Describe the five phases of the project life cycle. Recognize the importance of stakeholder engagement and communication. Apply practical techniques for managing scope, schedules, and risks. Use project management tools to improve workplace initiatives.

Define risk management and explain its importance. Identify organizational and project risks using practical techniques. Analyze risks using probability, impact, and prioritization methods. Select appropriate risk response strategies and contingency plans. Strengthen organizational resilience, governance, and continuous monitoring.

Identify practical applications of artificial intelligence across major human resource functions, including recruiting, employee communication, workforce planning, learning and development, HR operations, and organizational change. Evaluate opportunities and risks associated with the use of artificial intelligence and automation in the workplace, including considerations related to bias, privacy, security, compliance, and ethical decision-making. Apply strategies to improve efficiency, communication, talent development, and decision-making through the responsible use of AI-enabled tools while maintaining appropriate human oversight. Analyze workforce data, skills gaps, and organizational trends to support strategic workforce planning, succession planning, and business objectives. Develop approaches for leading change, supporting employee development, and strengthening organizational effectiveness through continuous learning and innovation. Implement governance practices and risk management principles that promote transparency, accountability, and responsible use of artificial intelligence within organizations. Integrate project management concepts, stakeholder engagement, and change management principles to support successful adoption of AI-enabled initiatives and improve organizational performance. Demonstrate the importance of maintaining human judgment, empathy, communication, and ethical leadership while leveraging technology to enhance business outcomes.