The problem with AI, and other predictions for the future of technology

Popular methods of artificial intelligence have an "explainability problem," the inability to understand exactly what's happening between input and output, and this black box will hinder new advances from neural networks

That's one of the predictions for 2023 from Mark R. Anderson, founding chair and CEO of Strategic News Service (SNS) and the Future in Review Conferences. An author, scientist, and entrepreneur, he's known for using pattern discovery to accurately predict the future, and his predictions are part of the reason SNS has been followed closely in the industry since 1995.

Anderson happens to have vested interest in his take on neural networks as the CEO of machine learning company Pattern Computer, which uses an alternative approach, focusing on pattern recognition.

On this episode of the GeekWire Podcast, Anderson explains Pattern's approach and shares details from two more of his predictions for 2023: skeptical takes on the near-term future of autonomous systems and the metaverse.=

The full list of predictions is available to SNS subscribers. Anderson is also the featured speaker at an upcoming dinner event, Feb. 9 in Bellingham, Wash., benefitting the Rotary Club of Bellingham. Tickets available here.

See omnystudio.com/listener for privacy information.