Mind Matters Where Natural and Artificial Intelligence Meet

CategoryNatural Intelligence

Cropped shot of call center operator in headset working and talking with client

Why machines can’t think as we do

As philosopher Michael Polanyi noted, much that we know is hard to codify or automate
Human life is full of these challenges. Some knowledge simply cannot be conveyed—or understood or accepted—in a propositional form. For example, a nurse counselor may see clearly that her elderly post-operative patient would thrive better in a retirement home. But she cannot just tell him so. Read More ›

Why can’t machines learn simple tasks?

They can learn to play chess more easily than to walk
If specifically human intelligence is related to consciousness, the robotics engineers might best leave consciousness out of their goals for their products and focus on more tangible ones. Read More ›

GIGO alert: AI can be racist and sexist, researchers complain

Can the bias problem be addressed? Yes, but usually after someone gets upset about a specific instance.

From James Zou and Londa Ziebinger at Nature: When Google Translate converts news articles written in Spanish into English, phrases referring to women often become ‘he said’ or ‘he wrote’. Software designed to warn people using Nikon cameras when the person they are photographing seems to be blinking tends to interpret Asians as always blinking. […]

man with headset at the conference

Jay Richards asks, can training for an AI future be trusted to bureaucrats?

We hear so much about how the AI revolution gobbles industrial era jobs that we don't notice the digital era jobs unfilled.

On Tuesday, entrepreneur Ivanka Trump told Wall Street Journal readers, The assembly line, energy plant and retail store have changed dramatically in the past 25 years—and the jobs have, too. Nearly 1 in 5 working Americans has a job that didn’t exist in 1980, many in technology, the fastest-growing segment across all industries. Such rapid change […]

Dr. Michael Egnor, M.D.

Neurosurgeon outlines why machines can’t think

The hallmark of human thought is meaning, and the hallmark of computation is indifference to meaning.
A cornerstone of the development of artificial intelligence is the pervasive assumption that machines can, or will, think. Watson, a question-answering computer, beats the best Jeopardy players, and anyone who plays chess has had the humiliation of being beaten by a chess engine. Does this mean that computers can think as well as (or better than) humans think? Read More ›

AI machines taking over the world?

It’s a cool apocalypse but does that make it more likely?
Doomsday thinking is easily mocked. The character marching  hairy and barefoot under his “End Is Near” sign, is a staple of cartoons in middlebrow mags. Yet when media magnets market doomsday scenarios—like the late Stephen Hawking (“worst event in the history of our civilization”) and Elon Musk (“an immortal dictator from which we would never escape”) — it’s a Cool apocalypse. Read More ›