Experts Predict When AI Will Surpass Humans in ALL Tasks
Big questions about humanity’s future also merit a side question over humanity’s future alongside machines.
How long before AI outperforms humans in various tasks?
A bracing new study presents responses from professionals working in that field.
“When Will AI Exceed Human Performance? Evidence from AI Experts,” is by Katja Grace, John Salvatier, Allan Dafoe, Baobao Zhang and Owain Evans, and it is on arXiv.
Actually, this paper reveals not if this will happen but when, asking how many things will AI be able to do even better than we can?
“Researchers believe there is a 50% chance of AI outperforming humans in all tasks in 45 years and of automating all human jobs in 120 years.” Yes, all.
Interestingly, Asian respondents expected the dates much sooner than did North Americans.
Discussing the study, MIT Technology Review said, “While North American researchers expect AI to outperform humans at everything in 74 years, researchers from Asia expect it in just 30 years.”
The study is from University of Oxford and Yale University, with 352 people responding.
Researchers predicted AI will outperform humans in many activities in the next ten years, such as translating languages (by 2024), writing high-school essays (by 2026), driving a truck (by 2027), working in retail (by 2031), writing a bestselling book (by 2049), and working as a surgeon (by 2053).
In general, any talk of AI in future years shows that predictions and estimates regarding artificial intelligence send some running under the blankets. They have fearful expectations of machines not only outperforming but overtaking mankind.
Somewhere closer to the center of debate, however, are simply those who say the advancements are inevitable, and we had best be prepared for changes.
“The reality is that AI will have a dramatic impact on all aspects of people’s lives, and it’s going to happen sooner than most of us realize,” wrote Ryan Bort in Newsweek. “The consensus arrived at by the world’s top AI researchers bears this out. Admittedly, it’s a little frightening, especially if you have a job that involves anything technique-based or formulaic. Yes, that includes bloggers.”
But perhaps the last word about this report belongs to TechRepublic’s Conner Forrest.
“While the findings may seem extraordinary, it’s worth noting how limited current AI and machine learning systems are. There is still substantial human involvement in wrangling, cleansing, and processing the data needed to power these algorithms, and most AI is extremely narrow in its focus.”