In the reading “Computer Vision for Artists and Designers,” Levin introduces the computer vision, algorithms for implementation, and its creative potential. I particularly liked the project examples he provided to illustrate how computer vision can be applied in real-world scenarios; they were all so interesting to read about. One project, “Suicide Box,” stood out to me because it aims to address a social issue and privide an evidence, not just for entertainment (which was a bit different from what I was expecting from interactive projects). This project inspired me to consider how technology can be a tool for raising awareness and gathering evidence on important social issues through creative projects. It expanded my thinking on the project ideas I could work on in future assignments, emphasizing that the purpose and meaning behind our work is essential consideration, and it can be one that delivers an important message of social impact.
I agree with Levin’s idea for the reliability of computer vision and its ongoing development. He mentions the challenge that computer vision is “opaque,” meaning it requires explicit programming to distinguish objects based on factors like contrast, color, motion, and brightness. This emphasizes the need for continued efforts to enhance accuracy in machine vision. The reading also made me reflect on the limitations of current AI-generated visuals, which often lack accuracy. For example, chatGPT is quite good at solving math problems and writing essays/texts. However, if we ask it to provide us with code for an aesthetic image, the result would be just a few lines of different colors on the canvas. Of course, it needs more details to design something like that, but my idea is that AI still lacks the ability to recognize images and generate various types of images accurately. Not only chatGPT, also other image generating AI often generate logically wrong images. It raised the question of how working on machine vision and using it to improve AI-generated visuals could be a promising avenue for advancing computer development.