Synopsis: Public discussions of artificial intelligence often swing between enthusiasm and alarm: AI is described as a transformative technology that may expand human capabilities, or as a threat to work, creativity, education, truth, and even humanity itself. But evaluating many of these claims requires us to think carefully about concepts that cognitive scientists have studied for decades: intelligence, learning, reasoning, representation, understanding, memory, and agency.
- What does it mean to be “AI literate”?
- What do we need to understand about intelligence, learning, and cognition in order to make sense of what AI systems can, and cannot, do?
- What can cognitive science contribute that other approaches may not?
- How does the shared history of AI and cognitive science shape the way we think about artificial minds today?
- Does studying cognitive science naturally lead to AI literacy, or does developing this kind of understanding require us to integrate ideas across the different areas of the field?