Authors:
Jason Wong
As artificial intelligence (AI) and machine learning's (ML) prominence in daily human-to-computer interaction grows, the field of interaction design must shift to understand the possibilities, limitations, and biases of AI. Currently, academia and technology corporations are leading the way in research and implementation, working in distinct fields such as natural language processing and object recognition. There has been enormous progress, as AI, supported by deep learning [1], is very good at completing a discrete task such as scheduling an appointment [2]. But it's not capable of completing a more general intellectual task, such as knowing how and when to…
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