Addressing AI Bias
Educational Awareness
Understanding potential biases in AI algorithms and their impact on:
- Automated grading systems
- Content recommendations
- Learning pathways
- Assessment outcomes
Mitigation Strategies
Steps to prevent and address AI bias:
- Regular algorithm review
- Diverse dataset usage
- Human oversight in grading
- Continuous monitoring and adjustment
Ensuring Transparency
Faculty Communication
Clear communication about:
- AI's role in grading and assessment
- Evaluation criteria and methods
- Acceptable AI tool usage
- Feedback mechanisms
Student Responsibility
Students should:
- Acknowledge AI tool usage
- Document AI assistance
- Maintain academic integrity
- Understand tool limitations
