Extanto has launched a new service designed to reshape how textbook publishers create test bank materials for higher education. This offering blends expert-led prompt engineering with advanced generative AI to produce assessment content that is pedagogically sound, intellectually rigorous, and customized to the instructional priorities of each client.
How AI Is Reshaping White-Collar Professions
What began as simple automation is turning into a full-scale reimagining of how professionals deliver their work, with specific tools and platforms redefining the pace, accuracy, and economics of these fields.
Domain Expertise: Updating the Discussion
Over the past year, human-AI collaboration has evolved quite a bit. The conversation has shifted from a simple dichotomy—human versus machine—to a more sophisticated model where humans and AI work together in increasingly complex and dynamic ways.
Proposed AI with Textmetrics Functionality: A Thought Experiment
By embedding Textmetrics’ capabilities within an AI infrastructure, AI programmers can address critical gaps in bias mitigation, regulatory compliance, and dynamic content oversight while enhancing the AI’s transparency and accountability.
AI Ethics: Navigating Development, Bias, and Responsible Use
The rapid advancement of AI technology might have outpaced our ability to get a handle on its ethical implications. As researchers and developers push the boundaries of what AI is capable of, often they find themselves in uncharted ethical territory.
Vermont’s AI Policy Informs User Guide for Responsible AI Implementation
Using Vermont’s AI governance framework, we have assembled a high-level guide for AI users in a business setting. We outline best practices for responsible implementation of AI systems, providing a general guide for organizations to navigate AI regulation and ethical use.