The problem of a lack of AI experts is a problem that is only going to become more prevalent as the field of Artificial Intelligence grows. Currently, there are not enough experts in AI to meet the demand, especially when it comes to the more specialized and detailed aspects of AI. This lack of experts puts a limit on the growth of AI and its potential to solve problems.
One way to solve this problem is by increasing the number of experts in AI. This can be done through training and education programs that focus on AI. These programs can be offered at the undergraduate and graduate level, as well as through continuing education programs. Additionally, offering incentives for experts to enter the field of AI, such as scholarships and fellowships, can also attract more experts to the field.
Another way to solve the problem of a lack of AI experts is by developing new ways to create and train AI systems. This can be done through the use of algorithms and software that can automate the process of learning and creating AI systems. Additionally, by using existing data sets and resources, such as those from online sources, it is possible to create AI systems without the need for expensive data collection and labeling.
Ultimately, the problem of a lack of AI experts can only be solved through a combination of these approaches. By increasing the number of experts in AI and developing new ways to create and train AI systems, it will be possible to continue the growth of AI and its potential to solve problems.
References:
https://www.forbes.com/sites/cognitiveworld/2019/04/09/lack-of-ai-experts-puts-a-limit-on-the-growth-of-artificial-intelligence/#431b846f768b
https://hbr.org/2017/10/the-ponyexpress-approach-to-solving-the-shortage-of-ai-talent
https://spectrum.ieee.org/view-from-the-valley/artificial-intelligence/education/the-problem-with-ai-education