Presented by the Council for Educational Diagnostic Services (CEDS) 

As the use of artificial intelligence (AI) continues to transform various aspects of education, including assessment and grading, this session will explore the role of AI in assessment and its potential impact on teaching and learning. This interactive discussion will examine the benefits and limitations of using AI in assessment, as well as the ethical considerations and challenges that arise when implementing AI-based assessment systems.

Learning Objectives:
1. Understand the current state of AI in assessment, including its applications and benefits.
2. Critique the limitations and potential drawbacks of using AI in assessment.
3. Explore the ethical implications of AI-based assessment, including issues of bias and fairness.
4. Consider the potential role of human judgment in AI-based assessment systems.

Participant Takeaways:
1. A deeper understanding of the possibilities and limitations of AI in assessment.
2. Insights into the ethical considerations and challenges associated with AI-based assessment.
3. Strategies for evaluating and implementing AI-based assessment systems in their own educational settings.
4. A framework for making informed decisions about the use of AI in assessment.

Presenters:
- Emily Smith, Associate Professor of Special Education University of Alaska Southeast, CEDS President