Over a million developers have joined DZone.

Report Looks at the Possible State of AI in 2030

DZone's Guide to

Report Looks at the Possible State of AI in 2030

Stanford recently produced a report that looks ahead to 2030 to see how AI might impact urban life, and it is more of a discussion starter than a prediction of how things will be.

· Big Data Zone ·
Free Resource

The open source HPCC Systems platform is a proven, easy to use solution for managing data at scale. Visit our Easy Guide to learn more about this completely free platform, test drive some code in the online Playground, and get started today.

robot-friendAs regular readers of this blog will attest, I’m not a big fan of attempts to predict the semi-distant future, as the number of variables makes such an effort pretty futile.

So I’m in two minds about a recent attempt to do just that by a Stanford led project called the One Hundred Year Study on Artificial Intelligence (AI100).

They have recently produced a report that looks ahead to 2030 to see how AI might impact urban life, and I’m happy to recommend it as it is more of a discussion starter than a prediction of how things will be.

“We believe specialized AI applications will become both increasingly common and more useful by 2030, improving our economy and quality of life,” the team say. “But this technology will also create profound challenges, affecting jobs and incomes and other issues that we should begin addressing now to ensure that the benefits of AI are broadly shared.”

The Changing Face of AI

The group, which was formed in 2014, consists of a number of experts who aim to produce regular reports on various aspects of AI, with this report marking their first step on that journey.

They break things down into eight areas where they believe AI will have a particular impact, including application areas and the impact the technology might have on society.  Those eight areas are:

  • Transportation, with a particular focus on both driverless vehicles, but also drones and other aerial technologies.
  • Domestic robots, which the team believes will not only clean our homes but keep us safe.
  • Health services are something I’ve touched on many times, and the report agrees that a slew of devices will monitor our health, with robotic surgery likely to grow in popularity.
  • Education will also see growth, with interactive tutoring systems helping us learn everything from languages to math.
  • Entertainment will be changed, with AI helping us curate content that matches our tastes.
  • Sustainable living is not an area that is commonly thought of when we talk of AI, but the report suggests that predictive models will help to support food distribution or clean up our environment.
  • Safety and security are also things I’ve touched on a few times previously, and the report suggests things like analysis of crime patterns will be used more and more by AI.
  • Employment is the final topic, and again it’s one that has been touched on many times before, as society tries to understand how to manage the rapid changes that automation will bring about.

As you can see, none of the things mentioned in the report are likely to be news to regular readers of this blog, but it does nonetheless provide valuable evidence to remind us of the possible changes afoot.

It also reminds us of the need to have a joined up approach to managing these changes, which is something that’s largely lacking at the moment.

“Currently in the United States, at least sixteen separate agencies govern sectors of the economy related to AI technologies,” the report says. “Who is responsible when a self-driven car crashes or an intelligent medical device fails? How can AI applications be prevented from [being used for] racial discrimination or financial cheating?”

This kind of conversation is well worth having, and so the report acts as a good prompt to begin.  Check it out via the link above.

Managing data at scale doesn’t have to be hard. Find out how the completely free, open source HPCC Systems platform makes it easier to update, easier to program, easier to integrate data, and easier to manage clusters. Download and get started today.

big data ,artifical intelligence ,predictions

Published at DZone with permission of

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}