Mitigating Biases
Addressing biases in AI systems requires action by both technology developers and end-users. This is crucial to ensure equitable learning experiences for all students.
What measures is the vendor/provider taking to recognize and address biases within their AI systems? How can human users intervene to check and adjust the system’s output?
No technology is perfect but by asking the right questions about a technology and carefully considering our capacity to effectively leverage it, we can maximize impact.
Ask
Bias Mitigation:
What approaches have you taken in developing your AI to identify and mitigate biases, particularly in training datasets?
Transparency:
Continuous Monitoring:
Consider
Learner Variability
How will you ensure that AI-generated content is suitable for all learners?
AI Literacy:
What steps will you take to educate yourself and your students about the potential biases in AI systems and their impact?
Mitigation Strategies:
Scenario
A workplace training department for a large, nationwide corporation in the food processing industry creates training videos that use AI avatars. These avatars are designed to reflect the varied backgrounds, languages, and experiences of the company’s employees, aligning with the demographics of the workforce. Learning and development coordinators collaborate with frontline workers to select avatars and review videos translated to their home language. They ensure that the avatars not only represent a variety of employee backgrounds but also adhere to cultural sensitivities and language preferences. The introduction of AI avatars in their training videos opens up opportunities to engage employees in co-creation. This results in upskilling for both the frontline workers and learning and development coordinators, enhancing both groups’ AI literacy and cultural awareness. Employee engagement with training materials increases. Feedback surveys indicate that employees understand and appreciate the videos, which enhances learning outcomes and compliance rates across the corporation.
The AI Integration Framework was adapted, with permission, from the "Top 6 Questions for GenAI EdTech Providers" resource developed by AI for Education.
This is one dimension of the AI Integration Framework.