What Teachers Need to Know About Bias and AI in EdTech Products

This edWeb podcast is sponsored by Digital Promise.
The webinar recording can be accessed here.

Artificial Intelligence (AI) is fast becoming a mainstay in industries including criminal justice, healthcare, and education. While AI has had tremendous impacts in many ways, it has also had unintended consequences that have disproportionately impacted marginalized populations, including students of color, those living in poverty, and those with learning disabilities. What do educators need to know about AI to leverage its potential and make sure it works effectively and without bias for unserved, underrepresented students?

This edWeb podcast first defines what AI is and then describes educational equity issues vulnerable to amplification by AI systems. For example, what do teachers need to know about how EdTech product developers need to identify, validate, and mitigate for bias so their products champion the needs of our most marginalized learners? 

In this edWeb podcast, we:

• Define AI, so we are all speaking the same language
• Learn to identify the ways in which existing equity issues in education can be amplified by the EdTech products we use
• Dive into best practices for mitigating AI bias by focusing on case studies
• Unveil new Digital Promise product certification for prioritizing racial equity in AI
• Discuss how we might identify new opportunities in AI that champion the needs of our most marginalized learners 

This edWeb podcast is of interest to teachers, librarians, school and district leaders, and educational technology leaders of all grade levels.

Optional pre-reading for this edWeb podcast: What Do EdTech and AI Have to Do with Racial Bias?

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