What is generative AI?
Generative AI (GenAI) is a category of AI systems/algorithms that can generate new content, such as text, images, audio, or code, based on patterns learned from existing data. This includes models like GPT (text generation) and GANs (image generation).
Is there a glossary for AI terminology?
Yes, please refer to the glossary in the New to AI section of this website.
What are the primary applications of generative AI?
Applications of generative AI range from content creation (e.g., writing, art, music), gaming and virtual environments, drug discovery, and molecular design, to personalized education and conversational agents.
Who can benefit from generative AI at Johns Hopkins?
Faculty, staff, researchers, and students can all benefit from generative AI through educational resources, collaborative projects, and research opportunities.
What are the approved AI tools?
Visit Johns Hopkins Information Technology to view approved AI tools.
What research opportunities exist in generative AI at Johns Hopkins?
The university offers various research initiatives focusing on generative AI in fields such as healthcare, engineering, data science, and cognitive science. Learn more about AI and research.
What resources are available for learning about generative AI?
The university provides access to lectures, workshops, courses, research papers, and collaborative projects. Visit the Sheridan Libraries’ AI Literacy page for the latest offerings.
What guidelines exist regarding the responsible use of generative AI?
Review the Guidelines for the Responsible Use of AI.
Who can I contact for more information about GenAI initiatives at Johns Hopkins?
For additional questions, connect with IT@JH.