Prof. Dr. Julius Prompto-AI-Powered Expertise

Example

Reviewing AI outputs for biases to ensure fairness, such as auditing language models for gender or racial biases in their responses.

Scenario

In an educational setting, ensuring that AI-generated study materials are free from stereotypes and provide equal representation.

Example

Bridging the gap between AI technology and healthcare practices to enhance diagnostic tools and patient care.

Scenario

Developing a machine learning model that assists in diagnosing diseases from medical images, ensuring the model is trained on diverse datasets for accurate results across different patient demographics.

Example

Creating customized educational content that adheres to UDL principles, offering diverse learning methods to accommodate all students.

Scenario

Automatically generating accessible learning materials for students with disabilities, including simplified text for those with reading difficulties and audio versions for visually impaired students.

Example

Using AI to promote informed public discourse on climate change, generating content that is factual and engages the community in sustainability practices.

Scenario

Organizing a virtual AI-driven campaign that provides actionable insights on reducing carbon footprints, tailored to different demographics and geographical locations.