HOW TO DIFFERENTIATE AI FROM NON-AI, AN EXPERT EXPLAINS Posted on : Jul 02 - 2022

A leading expert in machine learning started a new discussion over the meaning of AI and ML technologies.

While science-fiction debates about AI are “fun,” according to Michael I. Jordan, a professor in the department of electrical engineering and computer science and department of statistics at the University of California, Berkeley, they are also a “distraction.”

“There’s not been enough focus on the real problem, which is building planetary-scale machine learning-based systems that actually work, deliver value to humans, and do not amplify inequities,” Jordan said to IEEE Spectrum.

WHY CURRENT AI SYSTEMS ARE NOT ACTUALLY.. INTELLIGENT?

According to Jordan, imitating human thinking is not the primary goal of machine learning or even the ideal objective. In much the same way that a search engine enhances human knowledge by organizing the Web, machine learning may complement human intelligence by carefully analyzing enormous data sets.

Machine learning may help humans in healthcare, retail, and transportation by bringing together information from numerous data sources, identifying patterns, and suggesting new courses of action through tedious analysis of huge data sets. View More