Could Machines Think?

 

A central and enduring question in the field of artificial intelligence is whether machines are capable of thought.

It is necessary to first define the nature of human thought and consider whether the capacity for thought is unique to humans or shared with other animals and plants.

Alan Turing

Alan Turing, a British mathematician recognized for his contributions to computing algorithms, published a seminal paper in 1950 examining the question, 'Can machines think?' In this work, Turing outlined nine possible objections to the concept of machine thought and systematically addressed each. His analysis was primarily philosophical, with even theological considerations. Among these, the 'argument from consciousness' was particularly compelling.

Turing identified the demonstration of consciousness as a key criterion for determining whether a machine can think. He referenced neurologist Geoffrey Jefferson’s observation: 

Geoffrey Jefferson

Not until a machine can write a sonnet or compose a concerto because of thoughts and emotions felt, and not by chance fall of symbol, could we agree that machine equals brain - that is, not only write it but know that it had written it. No mechanism could feel pleasure at its successes, grief when its values fuse, be warmed by flattery, be made miserable by its mistakes, be charmed by sex, be angry or depressed when it cannot get what it wants. 

The conclusion is simple: 

(1) Only a machine that can feel things and is aware of the situation it is in, aware of the feelings of the surroundings, and knows its own actions, can be said to be thinking! 

That is a machine that has consciousness. 

(2) So far, no machine could ever do it... No machine could ever actually think in the complex, emotional manner humans do. 

Turing’s observation, made over seventy years ago, continues to influence contemporary definitions of a 'thinking machine.' Modern AI systems are capable of decision-making and solving complex problems. However, the question persists: Can machines ever truly think like humans, possess consciousness, or exhibit empathy and sympathy? 

The reasoning capabilities of modern neural networks are advancing rapidly, marking a period of significant progress in artificial intelligence. Discussions about AI are prevalent in public discourse and across media platforms. This widespread attention raises the question of whether such developments signal the harbinger of exponential progress in AI and machine learning. While machines can analyze large datasets and solve problems more quickly than humans, they remain unable to comprehend complex human emotions, which can result in biased outcomes. Machines are not yet creative and cannot reason in the nuanced way humans do. The anthropomorphization of AI remains a distant prospect.

Alan Turing’s insights remain relevant; more than seventy years later, the debate continues.