Machine Hallucination by Refik Anadol Visualizes an AI's "Dreams"
Laura McQuarrie — October 22, 2019 — Art & Design
References: artechouse & artinamericamagazine
Machine Hallucination by Refik Anadol is an installation that's now open in New York City, offering a unique way for people to experience just big data like never before. Although terms like "machine learning" and "neural networks" are becoming more familiar, this experience has the potential to help people gain a better understanding of artificial intelligence systems.
As an artist, Anadol is passionate about working with data and for this project, sought to "make visible the actual process of an algorithm taking in and responding to images." Working with hundreds of millions of images of New York City, an image algorithm erased identifiable traces of people in the images for the sake of privacy but also allowing the focus of Machine Hallucination to be on the city itself.
As an artist, Anadol is passionate about working with data and for this project, sought to "make visible the actual process of an algorithm taking in and responding to images." Working with hundreds of millions of images of New York City, an image algorithm erased identifiable traces of people in the images for the sake of privacy but also allowing the focus of Machine Hallucination to be on the city itself.
Trend Themes
1. AI-generated Art - Using AI algorithms to create unique and engaging forms of art installations to experience and interpret big data through human senses.
2. Neural Network Visualization - Visualizing how neural networks perceive and respond to different data inputs for a better understanding of artificial intelligence systems.
3. Privacy-protective AI - Developing algorithms that respect privacy while still using big data for generating innovative and valuable insights.
Industry Implications
1. Artificial Intelligence - Leveraging the creative potential of AI to innovate in the world of art and design.
2. Data Analytics - Using big data and machine learning to drive insights and value creation in diverse industries, from healthcare to finance.
3. Privacy Tech - Innovating technology that reconciles the trade-offs between data privacy and the utilization of data by businesses and organizations.
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