Artificial Intelligence (AI) has become a key topic in the testing industry, frequently featured in presentations and webinars. Despite its popularity, many organizations hesitate to adopt AI due to concerns about copyright, privacy, and overarching AI strategies.

This session will explore AI's applications beyond item generation, highlighting its potential throughout the test development lifecycle. AI can automate tasks such as item editing, grading, and form assembly, freeing resources in test development, psychometrics, and subject matter expertise for other critical tasks. Our speakers will share insights from their experiences with AI integration, discussing both successes and challenges.

We will also focus on ethical AI practices, emphasizing data privacy, transparency, and 'human-in-the-loop' methodologies. By adhering to these principles, we aim to reassure risk-averse credentialing bodies and demonstrate the benefits of AI in optimizing resources.

Attendees will gain insights into the diverse applications of AI in the testing industry and the ethical considerations crucial for its integration. Join us to explore AI's evolving role in testing and its responsible, impactful deployment across the test development lifecycle.