6 Uncertainties About AI’s Direction, Identified In A New Stanford Report

Artificial intelligence is advancing faster than its researchers and proponents can keep up. The authors of Stanford University’s latest longitudinal study of AI – conducted every five years – had a lot of catching up to do. Since the last survey of AI developments in 2021, generative AI broke onto the scene, along with countless other advancements.

While AI has become a force that promises exponentially more benefits than the risks it is posing in terms of economic opportunities and scientific discoveries, more efforts need to be made to assure AI is open and collaborative to all, according to the just-released edition of the “One Hundred Year Study on Artificial Intelligence (AI100).” The study was first launched in 2014.

There has been astounding progress in AI since 2021, the Stanford team states. "Challenges that appeared distant – fluent natural language interaction, broad-spectrum question answering, competent code generation – now
seem largely addressed, at least in their shallow forms," the study team, led by Michael Wooldridge, professor at the University of Oxford, observes. AI has moved from theory to practical applications, such as drug discovery and autonomous transportation.

The following are some of the changes AI has wrought over the past five years, the Stanford team finds:

Creative and cognitive fields are being disrupted like never before. Creative work, software development, and even pure mathematics were seen as “too cognitively challenging for automation by AI,” the report observes. “All of these areas are now being disrupted, as generative AI proves itself increasingly capable at low-level creative work, computer programming, and mathematical proof. The genie will not go back in the bottle, and these areas will need to reinvent themselves in the years ahead, just as other areas disrupted by technology have done.”