As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

The Instructional Design for e-Learning certificate program prepares students to apply the principles, theories, models, tools, and techniques of systematic instructional design in diverse e-Learning ...

The program focuses on the knowledge and skills of instructional design and using technology tools to improve teaching and learning, especially on the design of online learning and digital ...

Within the United States’ a new form of engineering education has become popularized: project-based learning particularly for first-year engineering students. Often hands-on projects courses become ...

Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, generating a need for more rigorous safety evaluations. Researchers have discovered ...

From medical image interpretation to remote monitoring to digital pathology systems, artificial intelligence is already at the forefront of medical device innovation. While manufacturers continue to ...

One of the most robust backward design models developed for higher education is L. Dee Fink’s integrated course design. Fink outlines a streamlined process for designing academic courses, divided into ...

Working in the education design space collectively for 26 years, we understand students and teachers need environments to support learning. Classrooms should be designed for listening and engagement; ...

Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Experiments showed that an AI model that’s training other models can ...