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Webinar Resources: AI Evaluations in Education: Safety, Effectiveness, and Impact
Webinar Description
As AI becomes increasingly embedded in teaching and learning, evaluating AI systems themselves is critical. This webinar presents Arizona State University’s approach to assessing AI in education, with a focus on safety, effectiveness, and real-world impact. We share frameworks, metrics, and insights from deploying AI systems at institutional scale.
Resource Sharing
Name of resource
Description
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Questions from the audience
Question
Response
AI Ethics, Responsibility, and Accountability: Who should be responsible for the outcomes and impacts of AI systems, and how far should that responsibility extend?
Open
AI in Assessment, Academic Integrity, and Teaching Practice: How can educators responsibly integrate AI into teaching and assessment while maintaining academic integrity and meaningful learning?
Open
Bias, Fairness, and Reliability of AI Systems: How reliable and fair are AI systems, and what risks do bias and technical limitations pose in educational contexts?
Open
Boundaries of AI Use in Education: What aspects of education should remain human-centered, and where should AI use be limited or restricted?
Open
Equity and Global Impact of AI in Education: Does AI widen or reduce educational inequalities, particularly in developing contexts?
Open
Workforce Impact and Career Adaptation: How is AI reshaping jobs, and how can individuals adapt to remain relevant?
Open
Practical Implementation and Control of AI Systems: What practical challenges exist in deploying and controlling AI systems for specific tasks?
Open
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