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Conversation N: Visualization Installation Design Based on Voice Interaction

  • Jing Wang,
  • Qiong Wu

摘要

Deep learning allows machines to have human-like learning and thinking capabilities, but its internals are often considered a black box about which we know very little. As AI (Artificial intelligence) penetrates deeper into life, the development of AI is maybe uncontrollable under the influence of human data. Questions about privacy, autonomy, fairness, and the potential for misuse of technology will become even more pressing. In the unstoppable process of technological development, art and design can often reveal science’s mysteries and even predict technology’s development. In this paper, through the research of algorithmic bias and AI ethics, we design an interactive installation with audience participation. Based on voice dialogue technology, the Installation uses visualization based on two-dimensional screens and physical Installation to demonstrate how AI constantly changes and generates a certain form in the learning process, hoping to trigger thinking about the subjectivity between humans and artificial intelligence. It summarizes what AI believes audiences think about AI on some issues.