Full course description
Organizations are accountable for their diversity and inclusion goals. In this course, you will learn about HR metrics, predictive analytics, diversity training, diversity scorecards, and other tools that organizations use to identify biases, track the progress of initiatives, and gauge the effectiveness of policies. This course will explain how to use both soft and hard metrics to formulate, update, and implement diversity and inclusion goals. You will also learn about the importance of employee buy-in, diversity leaders, and C-suite support in achieving a diverse and inclusive workplace.
Learning Outcomes:
- Identify common biases found in the workplace
- Explain how to assess and address workplace bias
- Distinguish between appearance-based, affiliation-based, advocacy-based and association-based coverings
- List strategies for responding to microaggressions
- Identify HR metrics used for diagnosing bias, tracking progress of diversity and inclusion initiatives, and measuring return on investment (ROI)
- Describe the process for creating diversity scorecards
- Explain the relationship between artificial intelligence (AI) and bias
- Describe how predictive analytics supports diversity and inclusive initiatives
- Explain the roles of chief diversity officers and diversity training
Credentials:
IACET CEUs: 0.4 (Contact Hours: 4 hours)HRCI Credits: 4 (Type: General)SHRM PDCs: 4