AI is everywhere today, from search engines and recommendation systems to generative tools such as ChatGPT. But what exactly is AI? How do AI systems work, and what distinguishes machine learning from large language models?
This seminar is the second of four stand-alone sessions in the AI Policy Literacy Course and provides an accessible, non-technical introduction to today's AI systems, their capabilities and their limitations.
During the seminar, we will explore:
How AI systems work at a conceptual level
The differences between AI, machine learning and large language models
The distinction between prediction and inference
What today's AI systems can and cannot do
What the rise of large language models means for society and future AI governance
No prior knowledge is required. The course is aimed primarily at students, but everyone with an interest in the topic is warmly welcome and there will be fika.