Accompanying Programme of NL Imagined
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In everyday language, "Ground Truth" typically refers to first hand experience and emphasizes the act of witnessing and gaining knowledge through human experiences. However, in modern imaging techniques like computer vision, "ground truth" refers to fundamental data used for training and validating algorithmic models. This evolving definition of "ground truth" implies a different approach to understanding truth and knowledge through images. Yiu explores this shifting dynamic between images, truth, and reality – a new realism – by closely studying images from these practices. In his artist talk, Yiu will present his artistic practice and delve into the changing logic behind image-mediated truth and knowledge in his projects on remote sensing and facial recognition.
Sheung Yiu (HK/FI) is a Hong-Kong-born, image-centered artist and researcher, based in Helsinki. His artwork explores the act of seeing through algorithmic image systems and sense-making through networks of images. His research interests concern the increasing complexity of algorithmic image systems in contemporary digital culture. He looks at photography through the lens of new media, scales, and network thinking; He ponders how the posthuman cyborg vision and the technology that produces it transform ways of seeing and knowledge-making. Adopting multi-disciplinary collaboration as a mode of research, his works examine the poetics and politics of algorithmic image systems, such as computer vision, computer graphics, and remote sensing, to understand how to see something where there is nothing, how to digitize light, and how vision becomes predictions. His work takes the form of photography, videos, photo-objects, exhibition installations, and bookmaking.
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