Artificial intelligence is trained on data which comes from the past. “…Historic prejudices are deeply encoded in our data sets, which are the frameworks on which we build contemporary knowledge and decision making. We will not solve the problems of the present with the tools of the past” (James Bridle, “New Dark Age”, 2018) The rise of artificial intelligence amplifies those concerns, because of its reliance on historical information. Those systems or machines are never neutral and therefore are prone to error or dysfunction. On the other hand, new technologies are developing so rapidly that we increasingly find ourselves in simulated environments. It is becoming difficult to distinguish between real and fake. What is reality? Are we constructing another reality? How and what does a machine see? How is it different to our view? Does data mean knowledge or is it just information? "Tell me what to see" revolves around these questions. It explores the juxtaposition of reality and artificiality and the tension between the human and the machine.

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