AI-Driven Approaches to Enhancing Fairness and Identifying Algorithmic Bias in Teacher Education

Key Points

• To explore how AI can address fairness and uncover biases in teacher education.
• Review of AI techniques applicable to educational contexts
• Analysis of existing algorithms for bias detection
• Identification of interventions to promote fairness in teacher training
• Increased awareness of algorithmic bias in teacher education systems
• Proposed strategies for mitigating biases using AI
• Potential for improved fairness in teacher preparation programs