 |
| Image by Ermal Tahiri from Pixabay |
I have been reflecting on the complexity of comparing AI learning with human learning and the changing notion of intelligence itself.
When we think of AI, we know it as a collection of data-driven algorithms that work by recognizing and optimizing patterns. Human intelligence integrates not only the cognitive dimension but also the social and emotional aspects, which perhaps add to the uniqueness of human intelligence. Yet, both AI and human are learning and AI is a better learner than we imagined. So, is there a potential to expand on the definition of intelligence and that of learning in the age of AI?In his book, "Life 3.0: Being Human in the Age of Artificial Intelligence", Max Tegmark talks about these kinds of implications of AI on human intelligence.
I enjoyed how he prompts us to reconsider what aspects of intelligence are truly distinctive to humans and what can be replicated or surpassed by machines. Although the book was published in 2017 and much has happened since then, his ideas (sometimes bordering on fiction, some might say) and insights are worth a read.
In one of the chapters he talks about 'mythical' worries like AI will turn evil or AI will turn conscious. He says that the real concern is AI becoming competent with goals that are misaligned with us and in that sense, "misaligned intelligence" should be the 'most important conversation of our times'.
No comments:
Post a Comment