Participants will be introduced to various AI methodologies and their applications to assist in everything from literature searches and evaluation design to data analyses and reporting.
The course will critically examine the use of AI in evaluation settings, emphasizing the importance of culturally responsive and equity-focused approaches.
We will explore both the potential and the pitfalls of overreliance on AI and address the complexity of its use in dynamic and diverse contexts. Related topics such as social justice practice standards, culturally responsive practices, data integrity, algorithmic bias, and the interpretation of AI-generated data will be discussed.
Recommended Materials:
Most of the tools used in this course are free to download and use, and will be shared with you during the course by your instructor. Participants are encouraged to download Chat GPT4 before the start of the course.
Recommended Audience:
This course is ideal for evaluators at all stages of their careers, from emerging to seasoned professionals, who are interested in harnessing AI to foster social justice and equity through their evaluation work. Familiarity with basic evaluation principles and research methods and a willingness to engage with AI’s technical aspects will enhance the learning experience.