AI and human brain

The topic of AI and its similarity to the human brain has been a subject of much debate and research in recent years. While some argue that AI is still far from being comparable to the complexity and sophistication of the human brain, others suggest that the newer transformer architecture powering large language models like GPT-3 and ChatGPT is mapping how different areas of the brain work, and is thus even more similar to the brain than previous models [1].

In fact, new research published in the journal Trends in Cognitive Sciences suggests that AI and the human brain may recognize things in similar ways, using similar steps of computation, which could lead to more accurate AI development in the future [2]. However, there are still significant differences between AI and the human brain, and discussions on important topics such as trustworthiness, explainability, and ethics are often characterized by implicit anthropocentric bias [5].

Despite the similarities that may exist between AI and the human brain, it is important to note that AI systems are not capable of replicating the full range of human intelligence, including creativity, intuition, and emotions. Charles Simon, the founder and CEO of Future AI: Technologies that Think, argues that while AI can certainly perform complex tasks, it does so in a very different way than the human brain, and is therefore not a replacement for human intelligence [3].

Overall, the debate on the similarity of AI and the human brain is ongoing, and while there are certainly some similarities between the two, there are also significant differences that must be taken into account when developing and deploying AI systems.