week 3 Flashcards

(26 cards)

1
Q

AICAN

A

an ai trained not just to imitate but to create new artistic styles using creative adversarial networks - not just imitate like GANS

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2
Q

AICAN trained on

A

80,000 artworks, AICAN generates original art with stylistic ambiguity

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3
Q

visual turing test

A

75% of viewers couldnt tell art from AI from human art

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4
Q

main point of this article

A

ai is not replacing artisitcs but its a creative partner

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5
Q

debate of the article

A

ai art has not natural (emotions) raising questions about authorship and inten

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6
Q

GAN

A

learns by copying

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7
Q

CAN

A

learns by innovating

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8
Q

AARON (Harold Cohen):

A

One of the first AI artists.

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9
Q

david salle

A

Trained an AI in his style — AI as creative assistant.

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10
Q

adam harveys cv dazzle

A

Anti-surveillance fashion art.
.

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11
Q

Asunder Project:

A

Critiques predictive AI models and climate science.

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12
Q

Lauren McCarthy’s LAUREN

A

Examined intimacy and privacy in smart homes.

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13
Q

Eliza Effect:

A

People tend to think AI “understands” more than it does.

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14
Q

Demystification

A

Critical artists reveal what AI systems are really doing

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15
Q

Critical AI Art Manifesto

A

Art that challenges AI’s role in society.

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16
Q

What is the key difference between GANs and CANs in the context of AI-generated art?
A) GANs are used for text generation, CANs for image classification
B) GANs imitate styles, while CANs aim to create novel artistic styles
C) GANs use reinforcement learning, CANs use supervised learning
D) GANs require no data, while CANs do

17
Q

What was the result of the Visual Turing Test involving AICAN?
A) AICAN’s art was always identified as AI-generated
B) Most viewers could easily spot the AI-generated art
C) 75% of participants mistook AICAN’s art for human-created work
D) The test failed to produce any measurable results

18
Q

What concept does the “Eliza Effect” refer to?
A) The overestimation of AI’s ability to simulate understanding
B) The automatic annotation of historical texts by AI
C) The tendency to undertrain AI on biased data
D) AI-generated art that mimics surrealism

19
Q

Which artist is known for training an AI to replicate their personal artistic style?
A) Harold Cohen
B) Adam Harvey
C) David Salle
D) Lauren McCarthy

20
Q

What is a key critique of AI-generated art compared to photography as an art form?
A) AI art is too realistic
B) AI art lacks a natural referent, unlike photography
C) Photography always involves human creativity
D) AI art only replicates classic styles

21
Q

What does “Critical AI Art” aim to do?
A) Celebrate the achievements of machine learning in art
B) Enhance the aesthetics of AI-generated paintings
C) Expose the societal, ethical, and political issues of AI
D) Train AI models to become better critics

22
Q

What is an example of AI used in historical art research?
A) GANs generating Renaissance-style art
B) Automatic annotation and object detection in 17th-century Dutch paintings
C) AI-generated self-portraits from baroque datasets
D) Using AI to restore damaged paintings

23
Q

What is “data poisoning” in the context of AI and art?
A) Using flawed data to accelerate AI training
B) Corrupting AI memory with too many prompts
C) Techniques artists use to prevent AI from learning on their work
D) Feeding AI data that makes it produce horror-themed art

24
Q

Which of the following artworks is known for its critique of surveillance through fashion design?
A) AARON
B) LAUREN
C) Asunder
D) CV Dazzle

25
What is the main takeaway from Mazzone & Elgammal’s discussion of AICAN? A) AI will replace human artists in the future B) AI is capable of being a collaborative creative partner C) AI art cannot be visually appealing D) AI has no place in the fine arts
B
26
ari and ai three types of practice
purely aesthetics collaborative critical