Last year, someone (specifically, OUP) asked me to write an encyclopedia entry for "AI".
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"The term “AI” resists definition because it is continually reappropriated by people to mean different things. This, in turn, means that discussions of AI that do not provide working definitions for the purposes at hand risk incoherence. [...]
Accordingly, this article does not provide a definition of the term “AI” but rather explores various ways in which the idea of AI has been used to organize how people understand our world, allocate resources, and relate to each other."
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1. AI Is a Research Field
2. AI Is an Approach to Cognitive Science
3. AI Is a Parlor Trick
4. AI Is an Ideology
5. AI Is a Way to Hide and Devalue Human Labor
6. AI Is a Way to Shift Accountability
7. AI Is a Way to Centralize Power>>
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1. AI Is a Research Field
2. AI Is an Approach to Cognitive Science
3. AI Is a Parlor Trick
4. AI Is an Ideology
5. AI Is a Way to Hide and Devalue Human Labor
6. AI Is a Way to Shift Accountability
7. AI Is a Way to Centralize Power>>
In the end, this was a fun project to work on, especially through the readings I got to revisit (and sometimes read for the first time) in the process.
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R relay@relay.infosec.exchange shared this topic
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1. AI Is a Research Field
2. AI Is an Approach to Cognitive Science
3. AI Is a Parlor Trick
4. AI Is an Ideology
5. AI Is a Way to Hide and Devalue Human Labor
6. AI Is a Way to Shift Accountability
7. AI Is a Way to Centralize Power>>
AI _SHOULD_ be an approach to Cognitive Science. The parts af AI that aren't have nothing to do with intelligence.
But, careful there. The folks doing domain modelling (Go, chess, protein folding, gradient decent) are reasonable comp. sci. stuff. (Although calling that stuff "AI" is completely ridiculous.)
It's LLMs that are exactly and only parlor tricks.
But the incredibly-stupidity-dense clusterfrack that AI has become is embarassing.
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AI _SHOULD_ be an approach to Cognitive Science. The parts af AI that aren't have nothing to do with intelligence.
But, careful there. The folks doing domain modelling (Go, chess, protein folding, gradient decent) are reasonable comp. sci. stuff. (Although calling that stuff "AI" is completely ridiculous.)
It's LLMs that are exactly and only parlor tricks.
But the incredibly-stupidity-dense clusterfrack that AI has become is embarassing.
intelligence has nothing to do with intelligence
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R relay@relay.an.exchange shared this topic
-
"The term “AI” resists definition because it is continually reappropriated by people to mean different things. This, in turn, means that discussions of AI that do not provide working definitions for the purposes at hand risk incoherence. [...]
Accordingly, this article does not provide a definition of the term “AI” but rather explores various ways in which the idea of AI has been used to organize how people understand our world, allocate resources, and relate to each other."
>>
@emilymbender
So much this. Thank you. -
Last year, someone (specifically, OUP) asked me to write an encyclopedia entry for "AI". I've just finished reviewing the copy edits, so hopefully it will be in the world soon. Meanwhile, a teaser:
>>
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@gabriel
Thanks for asking, I was wondering the same thing.
@bodhipaksa
Thanks for answering!
@emilymbender -
1. AI Is a Research Field
2. AI Is an Approach to Cognitive Science
3. AI Is a Parlor Trick
4. AI Is an Ideology
5. AI Is a Way to Hide and Devalue Human Labor
6. AI Is a Way to Shift Accountability
7. AI Is a Way to Centralize Power>>
@emilymbender
8. AI is #technofascism -
1. AI Is a Research Field
2. AI Is an Approach to Cognitive Science
3. AI Is a Parlor Trick
4. AI Is an Ideology
5. AI Is a Way to Hide and Devalue Human Labor
6. AI Is a Way to Shift Accountability
7. AI Is a Way to Centralize Power>>
@emilymbender what happened to AI is a marketing term not a technology
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1. AI Is a Research Field
2. AI Is an Approach to Cognitive Science
3. AI Is a Parlor Trick
4. AI Is an Ideology
5. AI Is a Way to Hide and Devalue Human Labor
6. AI Is a Way to Shift Accountability
7. AI Is a Way to Centralize Power>>
@emilymbender
Illuminating... -
@gabriel
Thanks for asking, I was wondering the same thing.
@bodhipaksa
Thanks for answering!
@emilymbender@roytoo @gabriel @bodhipaksa @emilymbender
OUP publishes some superb books.
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@gabriel @emilymbender OUP is Oxford University Press
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"The term “AI” resists definition because it is continually reappropriated by people to mean different things. This, in turn, means that discussions of AI that do not provide working definitions for the purposes at hand risk incoherence. [...]
Accordingly, this article does not provide a definition of the term “AI” but rather explores various ways in which the idea of AI has been used to organize how people understand our world, allocate resources, and relate to each other."
>>
@emilymbender If you understand your regression analysis, then it is basic statistics.
If you used some brute force and somewhat understand your regression analysis, then it is machine learning.
And if you have no idea how the mathematical abomination you just created works, and can only take on faith that it produces appropriate results most of the time, then it is AI.
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In the end, this was a fun project to work on, especially through the readings I got to revisit (and sometimes read for the first time) in the process.
Where & when will it be published?
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"The term “AI” resists definition because it is continually reappropriated by people to mean different things. This, in turn, means that discussions of AI that do not provide working definitions for the purposes at hand risk incoherence. [...]
Accordingly, this article does not provide a definition of the term “AI” but rather explores various ways in which the idea of AI has been used to organize how people understand our world, allocate resources, and relate to each other."
>>
@emilymbender I really love the framing around "understand our world, allocate resources and relate to each other". It‘s short and yet it really teases at the social values of technology and also just the social power of the meanings of language (which I‘ve recently been learning a lot about for discourse analysis)
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"The term “AI” resists definition because it is continually reappropriated by people to mean different things. This, in turn, means that discussions of AI that do not provide working definitions for the purposes at hand risk incoherence. [...]
Accordingly, this article does not provide a definition of the term “AI” but rather explores various ways in which the idea of AI has been used to organize how people understand our world, allocate resources, and relate to each other."
>>
@emilymbender back in the late 80s I recall much discussion about there being 7 problems that AI in some form would address. One, oddly, was speech synthesis. Another, more reasonably, was speech recognition (note: not understanding, more like transcribing). Image recognition was in there and I forget the others. I think your approach is more useful.
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1. AI Is a Research Field
2. AI Is an Approach to Cognitive Science
3. AI Is a Parlor Trick
4. AI Is an Ideology
5. AI Is a Way to Hide and Devalue Human Labor
6. AI Is a Way to Shift Accountability
7. AI Is a Way to Centralize Power>>
@emilymbender And remember:
Everything is a way to:
- Shift Accountability
- Centralize Power
- etcIF THERE IS FREE LUNCH, YOU ARE THE DINNER!
(nothing commercially given for free & all is manipulation without good sense)
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Last year, someone (specifically, OUP) asked me to write an encyclopedia entry for "AI". I've just finished reviewing the copy edits, so hopefully it will be in the world soon. Meanwhile, a teaser:
>>
@emilymbender AI is our last warning.
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AI _SHOULD_ be an approach to Cognitive Science. The parts af AI that aren't have nothing to do with intelligence.
But, careful there. The folks doing domain modelling (Go, chess, protein folding, gradient decent) are reasonable comp. sci. stuff. (Although calling that stuff "AI" is completely ridiculous.)
It's LLMs that are exactly and only parlor tricks.
But the incredibly-stupidity-dense clusterfrack that AI has become is embarassing.
Well, the original intent of the term was extremely dishonest, so I would argue that the modern appropriations of the term for dishonest ends are actually failry genuine, and it was the poor sods using it for genuine approaches who got fooled and used to provide the term with legitimacy.
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AI _SHOULD_ be an approach to Cognitive Science. The parts af AI that aren't have nothing to do with intelligence.
But, careful there. The folks doing domain modelling (Go, chess, protein folding, gradient decent) are reasonable comp. sci. stuff. (Although calling that stuff "AI" is completely ridiculous.)
It's LLMs that are exactly and only parlor tricks.
But the incredibly-stupidity-dense clusterfrack that AI has become is embarassing.
@djl @emilymbender that is not how words or definitions work.
