This talk explores how ideas from neuroscience and cognitive science can help us better understand and improve artificial intelligence. Instead of focusing only on complex algorithms, it highlights how human thinking such as attention, perception, and decision making can inspire more effective and intuitive AI systems. The presentation introduces key concepts of neuro inspired machine learning in a simple and accessible way, using real world examples. It also touches on common cognitive biases and explains how they influence both humans and AI systems. Finally, the talk reflects on why building human centered AI is important for the future.
- Artificial Intelligence
