“Magical” AI

Liam Justiniano- Week 3

I found it very interesting how far AI has developed within the past year. It’s seemed to just pop up on the scene wiping everything out. However, after the readings it’s really interesting to see how extensive the process behind AI is. The linguistics behind the term “artificial intelligence” is not something I really thought about prior to “Empire of AI” by Karen Hao. The original term before it was “rebranded” was “automata studies”. “Automata studies” didn’t catch on, according to Hao, because it didn’t attract enough attention. 

I think that language puts the reality of what AI is really doing into perspective. We see this sort of mystification of Artificial Intelligence, I see it all the time with the companies using AI and they seem to try and market it as something magical. When in reality it is a very concrete and real thing. It’s an automated machine of inputs and outputs. I believe that automata studies demystifies the process and I’m curious that if we were able to continue using that phrase or a similar phrase how AI would be reframed. 

Something else I found interesting was how unethical the origins of AI really were. Unconsenting people were forced to become datasets for these big tech companies to develop their products. It seems like hundreds and hundreds of people without their knowledge or consent were used. It feels extremely odd to me. I also found the usage of mugshots very concerning. The way Hao discussed it seemed as though they were using mugshots to compile a “criminal look”. Mugshots are taken at the time of arrest and not when convicted of a crime and I had to stop and reread it because I wasn’t quite sure if what I was reading was correct. I’m still not sure if that was correct because it just doesn’t seem right. I couldn’t help but sit and think of all the possible things that could go wrong based off of that and how unfair that could possibly be. 

I really enjoyed Crawford using Clever Hans as an opening. It shows how amazement can really get in the way of genuine research and science. The amazement of the horse seemed to blind people to the real research and even once they researched it took a while for them to come up with concrete arguments against Clever Hans. When they found out the real trick was just something as simple as body language that gave the answers away it seemed very funny. The horse still holds some sort of intelligence, but no more than teaching it its normal tricks and routines. A simple understanding of input and output, A leads to B. I enjoyed the simplification and demystification that Clever Hans sort of relays to bring in my original point. I enjoyed both of these pieces.


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2 responses to ““Magical” AI”

  1. LKSOC1004 Avatar
    LKSOC1004

    It seems like there is a real value in having the technology be mystified from the perspective of an AI company. I think it is less likely that people will feel empowered to manipulate AI technology or fight against the way that its being used or implemented when they don’t understand how it works. Not understanding the process also obscures how flawed or unflawed it actually is. Further, I feel like the mystifying of AI is useful as a selling tool. People already tend to anthropomorphize it or speak about LLM’s as if they “think” or have a discrete existence. Its a way of allowing LLMs to be fetishized in a sense. A lack of general knowledge allows a company to create a solution, even though the better solution is just learning.

  2. goosefeet22 Avatar
    goosefeet22

    The origin of AI really is super interesting!! I was also completely unaware of the history of AI development and how completely unethical and arduous it was to get to this point. I know people have talked about how human bias can influence tech, but seeing how it does with AI was interesting. Like you mention, because they have used mugshots, that can influence algorithms. It is such a clear extension of so many other issues we face in this country. Racial profiling is already a deep rooted issue in the US and how that influences the criminal justice system then reflects in mugshots, which now, reflects in AI.

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