artificial intelligence, one of the great revolutions of the 21st century, has experienced significant advances thanks to key concepts that allow machines to perform increasingly sophisticated and advanced tasks. deep learning, fundamental in areas such as computer vision and language processing, It is ideal for tasks such as pattern recognition in images, natural language processing and decision making. Adversarial learning employs competing neural networks and is essential for detecting deception and creating authentic content, and reinforcement learning allows algorithms to make decisions by interacting with their environment and maximizing rewards..
So, Could artificial intelligence deceive us? Could mathematical algorithms create - without plagiarizing- a work of art? In this discussion the most important concepts to understand AI will be explained, its operation and possible future uses and a review will be made of the possible sources of bias in an intelligent system and the mechanisms to avoid it.. Finally, and given the new concern about the high energy consumption of large models such as ChatGPT, The lines of research that can take us towards the path of a more sustainable AI will be explained.. The entire session will be interactive and attendees will be able to participate during the conversation through digital tools.
