Periodic review of the artificial intelligence industry reveals challenges

A Techxplore article ponders on the importance of regulation of the AI in the care environment by presenting the work of AI100. As part of Stanford's ongoing 100-year study on artificial intelligence, known as the AI100, two workshops recently considered the issues of care technologies and predictive modeling to inform the future development of AI technologies.

After the first meeting of the AI100, the group planned to reconvene every five years to discuss the status of the AI industry. The idea was that reports from those meetings would capture the excitement and concerns regarding AI technologies at that time, make predictions for the next century and serve as a resource for policymakers and industry stakeholders shaping the future of AI in society.

But the technology is moving faster than expected, and the organizers of the AI100 felt there were issues to discuss prior to the next scheduled session. The reports that resulted from those workshops paint a picture of the potential pitfalls of outsourcing our problems for technology to solve rather than addressing the causes, or allowing outdated predictive modeling to go unchecked. 

Both workshops came to the conclusion that regulation is needed for AI technology.

For more on the AI100 and its latest reports, click here.

The complete article by Lara Streiff can be read here.

This content has been updated on 28 November 2019 at 23 h 50 min.