One of the reasons AI usually seems so dumb is that we don't really understand our own intelligence. Like with your cat, you may think that it recognizes you, and you could maybe prove that it recognizes your face, but you will probably never know what it is about your face that makes you recognizable to a cat. So far, facial recognition is based on theories and experiments, but we don't know for sure how we recognize faces, so it's mostly stabs in the dark.
You're right, we don't understand our own intelligence, let alone that of other animals. I'm pretty sure my cat recognises me as it's shy around strangers but I can only assume it uses sight, it could be smell but being a visual predator I doubt it, I don't know about dogs though.
The biggest problem with most modern AI systems is that they don't really think or learn. They are still mainly very scripted preprogrammed things. With just pre-written responses to expected events. The only difference is now is that with the large amount of space and processing power, you can have very large and very complicated "decision trees"
Yes, they lack the basic reasoning, all animals with brains seem to have.
I also wouldn't under estimate the intelligence of animals when comparing AI to them. Especially when you consider that (Koko) the Gorilla knows over 2000 words of spoken english, and over 1000 sign-language signs. Your average domestic dog has far higher reasoning and logic skills then chimps and 3 year old human infants.
I know that many animals are more intelligent than human infants but how is a dog brighter than a chimp?
I don't think that's true, unless you're comparing it to a baby chimp or some other ability such as smell.
Facial recognition programs aren't really AI, they just have algorithms designed to look for shapes, ex: ovals, circles, and certain colors. They aren't like, "Oh hey thats a pair of eyes on a human head", its more like "Two ovals within a larger oval/circle - Focus Here"
If I were clever enough to design an AI image recognition system, I would base my design on a mantis shrimp. They're clearly the most intelligent crustaceans with the most complex eyes in the animal kingdom. They have hyper-spectral vision, are sensitive to polarised light and each eye has neurons which processes the information before it gets to the brain. They're capable of recognising each other and there's anecdotal evidence they can recognise people.
http://en.wikipedia.org/wiki/Mantis_shrimphttp://www.uemis.org/es/magazine/nature_and_science/peacock_mantis_shrimps_pugnacious_predatorshttp://blogs.thatpetplace.com/thatfishblog/2008/07/03/mantis-shrimp-order-stomatopoda-–-breaking-research-and-care-in-captivity/
I'm more interested in alternate paths to intelligence: we know it's evolved in mammals but it's present in: birds (not as stupid as people once used to believe), fish (yes sharks are actually quite bright despite their reputation) and invertebrates cephalopods (octopus, cuttle fish and squid), stomatopods (mantis shrimp, see above) and possibly also jumping spiders.
"Crows in urban Japan have innovated a technique to crack hard-shelled nuts by dropping them onto crosswalks and letting them be run over and cracked by cars. They then retrieve the cracked nuts when the cars are stopped at the red light."
http://en.wikipedia.org/wiki/Bird_intelligence#Tool_useOctopus 'turns off' a light which is annoying him.
http://www.youtube.com/watch?v=YBghUIEfDxg&NR=1# Octopus opening jar to get its dinner.
http://www.youtube.com/watch?v=ocWF6d0nelY&feature=related#These animals have developed brains down a different evolutionary path, especially invertebrates which have totally different nervous systems to ours. Suppose s scientist figures out exactly how we recognise faces? They might believe that it's the only way of doing it until they investigate how a squid does it which is totally different and might be easier for us to develop an implementation.