Lecture 11 Flashcards

Artificial Communication

1
Q

What does Elena Esposito argue about machine-learning algorithms in “Artificial Communication”?

A

Machine-learning algorithms artificially reproduce communication skills rather than intelligence by exploiting user participation on the web.

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2
Q

How does Robert Kowalski define an algorithm?

A

“Algorithm = logic + control”

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3
Q

What did George E. P. Box say about models?

A

“All models are wrong, but some are useful.”

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4
Q

What makes algorithms socially relevant, according to Esposito?

A

Their ability to act as partners in communicative practices that produce and circulate information, independently of their intelligence.

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5
Q

What are artificial neural networks?

A

Computational models inspired by the human brain that relate to intelligence, culture, and communication by mimicking learning processes.

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5
Q

Define “self-learning algorithms.”

A

Algorithms that autonomously decide how and what to learn, whether supervised, semi-supervised, or unsupervised.

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6
Q

What is “Machine Mimesis”?

A

The study of how machines mimic human behavior and the new types of literature and practices that emerge in the age of large language models.

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7
Q

Describe “Platonist Mimesis.”

A

It is unilateral, passive, deceptive, and concerned with indistinguishability, often mystifying technology and reinforcing dichotomies.

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8
Q

How does “Posthuman Mimesis” differ from Platonist Mimesis?

A

It is more-than-human, multi-directional, productive, and emphasizes difference, allowing for critical engagement and new practices.

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9
Q

What is the cultural significance of bot mimicry, according to Erslev?

A

It allows humans to critically and playfully engage with cultural anxieties about AI, exploring authenticity and expectations of AI communication.

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