AI experts do not always predict the future of artificial intelligence accurately, as their predictions are often influenced by their own biases and perspectives. These experts may overstate the potential of AI due to their enthusiasm for the field, or downplay its risks due to their desire to avoid regulation. Predictions about AI also tend to be overly optimistic, with experts frequently underestimating the time and resources required to achieve significant advancements.
One example of this is the prediction that AI would surpass human intelligence by 2029, a claim that has been widely criticised for being unrealistic. Similarly, the belief that AI will eliminate all jobs is also seen as an exaggeration, as new technologies often create as many jobs as they destroy.
Despite these inaccuracies, the opinions of AI experts remain valuable. They can provide insights into the potential of AI, and their warnings about its risks should not be ignored. However, it is important to remember that these predictions are not infallible, and should be viewed with a healthy dose of scepticism.
In addition, the public and policymakers should also seek out diverse perspectives on AI, including those of social scientists, ethicists, and people directly affected by AI technologies. This will ensure a more balanced understanding of the potential benefits and risks of AI.
Go to source article: https://www.bloomberg.com/opinion/articles/2023-05-06/ai-experts-aren-t-always-right-about-ai?leadSource=uverify%20wall