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Lev Manovich

AI Aesthetics

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Al plays a crucial role in the global cultural ecosystem. It recommends what we should see, listen to, read, and buy. It determines how many people will see our shared content. It helps us make aesthetic decisions when we create media. In professional cultural production, AI has already been adapted to produce movie trailers, music albums, fashion items, product and web designs, architecture, etc. In this short book, Lev Manovich offers a systematic framework to help us think about cultural uses of AI today and in the future. He challenges existing ideas and gives us new concepts for understanding media, design, and aesthetics in the Al era.
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55 printed pages

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  • Angel Johnyshared an impression2 years ago

    Help me study this subject better as this is my first time learning this👍

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    Quotes

    • Ivanhas quoted6 years ago
      1) Selecting content from larger collections: search, discovery, curation, recommendations and filtering.
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    • Mert Akbuluthas quoted4 years ago
      1) Selecting content from larger collections: search, discovery, curation, recommendations and filtering. (Asrar, 2016).
      2) Targeting content (e.g., one-to-one marketing, behavioral targeting, and market segmentation).
      3) Assistance in creation/editing of new content. (If we are to think of AI as intelligent in the biological sense, we can cal this “participation” in content creation.)
      4) Fully autonomous creation (e.g., AI composing music tracks in a particular style, writing business and sports news articles (Kafka, 2016), creating visualizations from given datasets, designing websites, generating email responses, etc.)
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      • Mert Akbuluthas quoted4 years ago
        5. Huawei ran a photo contest where submitted photos were judged by AI: “Trained using 4,000,000 images taken by professional photographers and picture editors, the AI will then give each photo a personalized AI score based on parameters such as focus, jitter, deflection, color, and composition” (Hillen, 2018)
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