AI News, BOOK REVIEW: Artificial Intelligence

Stanford-led snapshot of artificial intelligence reveals challenges

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.

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.

“The reports capture the cyclical nature of public views and attitudes toward AI,” said Peter Stone, professor of computer science at the University of Texas in Austin who served as study panel chair for the last report, and is now chair of the standing committee.

“There are times of hype and excitement with AI, and there are times of disappointment and disillusionment – we call these AI winters.” This longitudinal study aims to encapsulate all the ups and downs – creating a long-term view of artificial intelligence.

Technology can certainly give reminders to take medication or track health information, but is limited in the ability to display empathy or provide emotional support which cannot be commodified or reduced into outcome-oriented tasks.

“The hope is that the AI2020 report, and other work in this area, will contribute to preventing this ‘ice age’ by challenging and hence changing the culture and debate around the design and implementation of caring technologies in our societies.” AI technologies may be capable of learning, but they are not immune to becoming outdated, prompting participants in the second workshop to introduce the concept of “expiration dates” to govern their deployment over time.