Revisiting AI Predictions Of The Past

Revisiting old AI predictions can be quite amusing, therefore, we gathered predictions from 2010 through to 2015 on the future of AI to see how close some were and how far off we are from others. Perhaps purposely, many of the predictions were extremely farfetched, futuristic and based on personal perception, but we wanted to take a look nonetheless.

AI Could Help Predict Which Flu Virus Will Cause the Next Deadly Human Outbreak (2013) - Wired

Back in 2013 Wired released an article which suggested that the future of flu and pandemic viruses could be better understood and predicted through hugely growing databases of viral strains and the use of Machine Learning. The article was quick to note that the use of AI would take away reliance on Biology in the initial phases, however, it also suggested that AI will help scientists better monitor emerging flu strains and predict their impact, ideally forecasting when a virus is likely to jump to people and how dangerous it is likely to become. There is no doubt that in time, AI will be an invaluable aid to virus prediction, that said, many experts suggest that it's affect on the current COVID-19 outbreak will be limited aside from tracing algorithms.

Mass unemployment through the use of AI (2018) - CNBC

"A common fear among analysts, and indeed workers, is the likelihood that AI will result in mass global unemployment as jobs increasingly become automated and human labor is no longer required." This article, which is only a few years old has suggested the 'steep layoff' of workers by 2020 through the increase in AI capabilities. Whilst many now accept that automation of certain job roles may become widespread, many studies and sources suggest that, as with previous tech advancements, with those that are replaced, as many or more are created, with some suggesting that AI could boost employment by circa 10%, with millions more jobs created than destroyed.

Employees will work alongside smart machines. Artificial Intelligence will reshape companies outside of IT (2016) - TIME Magazine

In 2016, TIME Magazine suggested that 'smart machines' will be working alongside humans in the workplace. Four years on, this is certainly underway. Making it somewhat difficult to judge the level of accuracy of this article, it neither suggests to what level the collaboration will be at, or a time period by which it will be underway. That said, AI is already being utilised in Healthcare (consultation, data management etc), Retail & e-commerce (inventory analysis, chatbots, factory robotics), Gaming and more. It is, in time, that we will hopefully see a greater integration of AI in society, through road worthy self-driving cars, disease & cancer detection of extremely high accuracy, customised learning plans in education and more.

The Predictions of Ray Kurzweils (2015)

Bill Gates once called Ray, “the best person I know at predicting the future of artificial intelligence.” In an article by Singularity Hub, Ray released a few of his future predictions for the next 25 years. The following have been chosen from this article:

By the late 2010s, glasses will beam images directly onto the retina. Ten terabytes of computing power (roughly the same as the human brain) will cost about $1,000.
By the 2020s, most diseases will go away as nanobots become smarter than current medical technology. Normal human eating can be replaced by nanosystems. The Turing test begins to be passable. Self-driving cars begin to take over the roads, and people won’t be allowed to drive on highways.

Whilst we have seen organisations aim to create 'smart' glasses, this is still something that needs attention. Google Glass, the optical head mounted display created in 2013 was the biggest hope for this idea. Whilst not at the development stage that was expected seven years on, production and development has started again and we could yet see this product, or similar products wide spread in society. For the mid-2020s predictions, some are completed, some close and some slightly farfetched. The Turing test has been beaten, self-driving cars edge ever closer but remain in development & doctors/surgeons are certainly utilising AI in places for development.

A Move Towards “Transparent AI" & Useful AI Assistants (2018) - Forbes

The linked article was spot on with the suggestion that the need for transparent AI would be at the forefront of industry. With Ethics somewhat of a buzzword in industry at both the backend of 2019 and the beginning of 2020, consumers need to see 'behind the curtain' as well as the need for many studies, peer reviewed works and more to ensure efficacy. Useful AI assistants? Also not far off! The development of both Amazon Alexa, Siri and Google Home to name but a few has been vast, with a suggested tens of millions already in homes. There is still some way to go until we see something akin to that in the film 'her', but there has been huge progress nonetheless!

Top AI Resources - Directory for Remote Learning
10 Must-Read AI Books in 2020
13 ‘Must-Read’ Papers from AI Experts
Top AI & Data Science Podcasts
30 Influential Women Advancing AI in 2019
‘Must-Read’ AI Papers Suggested by Experts - Pt 2
30 Influential AI Presentations from 2019
AI Across the World: Top 10 Cities in AI 2020
Female Pioneers in Computer Science You May Not Know
10 Must-Read AI Books in 2020 - Part 2
Top Women in AI 2020 - Texas Edition
2020 University/College Rankings - Computer Science, Engineering & Technology
How Netflix uses AI to Predict Your Next Series Binge - 2020
Top 5 Technical AI Presentation Videos from January 2020
20 Free AI Courses & eBooks
5 Applications of GANs - Video Presentations You Need To See
250+ Directory of Influential Women Advancing AI in 2020
The Isolation Insight - Top 50 AI Articles, Papers & Videos from Q1
Reinforcement Learning 101 - Experts Explain
The 5 Most in Demand Programming Languages in 2020

Interested in reading more leading AI content from RE•WORK and our community of AI experts? See our most-read blogs below: