The Ethics of Overpaying AI Talent Salaries
The lucrative field of artificial intelligence has countless applications in today’s world, from handwriting, speech, and facial recognition to huge projects such as Uber’s self-driving cars and Google’s Alpha Go, which is a program that can learn without the help of humans. However, according to a lab in Montreal, there are less than 10,000 people in the entire world who possess the knowledge and experience necessary to work on serious artificial intelligence projects– making each of these people worth enormous sums of money. Nowadays, tech giants such as Uber and Google are paying their AI specialists hundreds of thousands up to millions of dollars in stock and salary due to the gap in supply and demand, which raises the question of how smaller startups and business will compete. Even with the promise of owning a part of stock in a growing company, small startups cannot compete with the enormous salaries AI engineers and even professors (who are being taken out of the classroom to work in industry) are being offered. This effectively locks anyone else out of the industry and creates an oligopoly within the AI industry, so the question is — is this a fair situation to smaller companies? Should we make more of an effort to accelerate AI teaching throughout the world to scout talent? Or should we take the initiative to put salary caps on AI specialists like the NFL?