...It's one thing to program a computer to handle the task of categorizing say, the animal kingdom. Yet it is entirely another to program it to actually understand such categorization... or why even do it. Consider terms such as "I," "he" and "a"? The human mind can associate these symbols with the real beings they represent and in doing so comprehend why... on the contrary a computer can only memorize the assigned definitions. The computer must always have a human form behind it in order to look human!
This is why systems are being developed (e.g. neuromorphic systems like Annabell) that learn by example and training without being pre-programmed to recognise and manipulate symbols; so that these capabilities develop with training and reinforcement in the same way as they do in biological systems, i.e. they are emergent.
When was the last time you saw an animal laugh? Never. This is because it is not in their nature to do so.
Few animal behaviourists would agree with that - see
Do Animals Laugh? You might also be interested in
altruism in rats. The more we learn about human and animal behaviour, the more we realise that many of what we thought were unique human attributes are developments and refinements of capabilities that are not uncommon in other creatures; and not just primates or other mammals - Alex the African Grey parrot showed a surprising capacity for abstract reasoning and inference, and even some invertebrates, e.g. molluscs, such as octopuses, whose nervous systems developed quite independently from the vertebrates, show signs of self-awareness and creativity. You might also like to try pitting your human spatial memory against a monkey's in
The Monkey Span Test.
...even the most complex forms of living matter that are not human cannot do what humans do so how could a complex, or more complex computer be expected to do so? Arrange it into neural nets and do so a billion billion times more complex than we now have and it still will not be human. It will not think. It could not choose freely as humans do all the time. Artificial machines may imitate these personal characteristics, as animals do to some degree, but they will never take on these human abilities just as animals, plants and inanimate matter never do.
The argument from incredulity needs to be backed by plausible reasoning or evidence, or it just resolves to an argument from ignorance. A machine can never be human, that's ontologically obvious, but there's no rule that says it can't have human-like or human-level qualities (or even supra-human capabilities, as so many machines already have). A more plausible reason for doubt is whether we really want or need machines with human-like qualities such as emotions.
... I finish by saying you guys cheapen what it means to be personal beings when you equate machine "intelligence" to human.
You must tread lightly here otherwise you attack the inherent dignity a person has by falsely elevating machine to life and matter to spirit.
Ah, now we see the real issue - it's an affront to human dignity to believe a machine can do what we do. Yet the history of machines is a repeated story of such affronted dignity; calculators, chess players, Jeopardy, speech recognition, dictation, translation, product design, etc., machines have achieved what was previously claimed to be uniquely human capabilities, and the descendants of those affronted dignities are now using them in their daily lives. Now we're making machines based on the principles of biological information processing, and they're displaying the same kind of characteristics, I wouldn't be so quick to dismiss the obvious potential.
You also falsely attack me for not giving evidence for my perspective on this subject yet it is you who fail to do so! My proofs are all around us as I've laid out here in cursory so it is simply your blindness to the limitations of the scientific method that keeps you from seeing as the average unscientifically trained person does.
If you can quote where I attack you, I'll apologise or explain what I really meant. I'm well aware of the limitations of the scientific method - but it still remains the most reliable and productive method of knowledge acquisition. Are you really suggesting that someone can somehow see things better if they're an average unscientifically trained person? How so?