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Wednesday, 16 March, 2022

Stanford University AI index report 2022 – Analysis

Stanford University AI index report 2022

Every year Stanford University produce an AI report. These reports highlight AI across 25 countries in the world – Private, academic and non profit.

Key finding 1 – Private investment growth

Private investment and cross-country collaboration on AI. This has increased 5 x since 2010.

Thoughts and insights: There is so many opportunities for using AI. Investors are seeing the this opportunity and continue to invest. It will be interesting to see if this level of investment continues through 2022.

Key finding 2 – Affordable AI

The cost to train an image classification system has decreased 63% in 4 years.

Thoughts and insights: As more vendors and technology appears, the price will naturally drop. We should also a continue to see a bit of competition in the stack architecture as cloud suppliers look to attract all forms of AI.

Key finding 3 – Rise of AI ethics

x5 increase in the publications talking about AI ethics in last 4 years.

Thoughts and insights: I have noticed a huge interest in this area. This is a good thing, as more is talked about AI governance, the more will become developed and adopted. This will mean a stronger and better AI for the future.

Key finding 4 – Rise of AI ethics

x5 increase in the publications talking about AI ethics in last 4 years.

Thoughts and insights: In the past 5 years I have noticed a huge interest in this area. Ethics and governance are important areas. As AI is being adopted in most industry verticals, it is imperative that we have the fullest of confidence in the data and the people it serves. If addressed early, this will help strengthen AI and data use for future years.

Key finding 5 – Better capabilities of language models

A 280 billion parameter model developed in 2021 shows a 29% increase in elicited toxicity over a 117 million parameter model considered the state of the art as of 2018

Thoughts and insights: Language models are exceedingly popular especially processing a lot of unstructured data. The capabilities are increasing along with the amount of training parameters. These allow powerful intelligent capabilities especially if combined with other models.

In summary
The report has been produced for many years. It does seem like the report is getting more and more detailed, including more broader data from private, academic and non profit sources. I really like the drilling down into specific areas of AI especially for different regions of the world.

Read the report here

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