This two-unit course engages students with activities that demystify generative AI. Through hands-on projects and ethical discussions, students gain the skills to become creators and critical thinkers in an AI-powered world. Students learn to customize language models using Code.org’s AI Chat lab, which provides students with the tools to select language models, apply system prompts, and curate retrieval information. Students create chatbots to solve a variety of problems, and interrogate the validity of responses and appropriate use of chatbots in society.
Building smarter cities: From connected infrastructure to trusted urban services
What makes a city “smart” is not the number of sensors installed across its streets. It is the ability to...
AI for Good | Global Summit
Securing the AI stack: Why trustworthy AI begins with resilience
AI can strengthen cybersecurity, but it can also make attacks faster, more scalable, and harder to detect. This tension was...
AI for Good | Global Summit
One model across many sciences: Zhejiang Lab’s 021 Scientific Foundation...
Different sciences record their observations in different forms. Chemistry uses molecular formulas; genomics uses sequences; astronomy uses images and spectra;...
AI for Good | Global Summit









