I listened to a very informative podcast episode on the Harvard EdCast, the conversation centered around the topic of "Educating in a World of Artificial Intelligence." The podcast highlighted the need for education to evolve and adapt in order to work alongside the growing field of artificial intelligence (AI). The conversation focused on the concept of Intelligence Augmentation (IA). IA, which I heard for the first time, refers to the use of technology and tools to enhance human cognitive abilities, rather than replacing them entirely with artificial intelligence. The goal of IA is to improve human performance and decision-making by augmenting human intelligence with advanced computational and data processing capabilities.
The podcast highlighted the need for education to evolve and adapt in order to work alongside the growing field of artificial intelligence (AI). Specifically, it suggested that AI should be used to complement human intelligence, rather than replace it. Educators should focus on developing human skills that cannot be easily replicated by machines, such as critical thinking, problem-solving, creativity, emotional intelligence, and practical wisdom.
A simple example I can think of how AI can help with IA is the language translation. I, myself, make use of translation tools time to time, I usually end up making intensive editing to get the result I want. It seems that AI powered language translation tools can provide quick and accurate translations, however I often come across that they struggle with nuances in language and culture. By using IA, a human translator can work alongside AI to provide context and cultural understanding, enhancing the accuracy and nuance of the final translation. In this case, the AI is augmenting the human's cognitive abilities by providing advanced computational and data processing capabilities, resulting in a more effective and accurate translation.
The podcast emphasized the importance of understanding the distinction between what AI does well (reckoning, or calculative prediction) and what humans do well (practical wisdom). While machines may be able to perform certain tasks faster and more accurately than humans, they are still limited in their ability to understand and respond to complex human emotions and experiences.
Given this distinction, educators need to consider how much of what they are teaching is reckoning, and how much is practical wisdom. By emphasizing practical wisdom, they can help prepare students for a future where AI is likely to play a major role, while also ensuring that they have the skills they need to thrive in a rapidly changing world.
Vedat YOZKAT
https://www.gse.harvard.edu/edcast
