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Human-Centered AI: Technology that Augments Human Expertise and Decision-Making
One scenario is that the technology powering AI and robotics advances so much that humans no longer have a place to play in the world. These types of scenarios have visions of mass unemployment, or worse, mass human destruction.
The alternative view is that AI will help humans by augmenting their capabilities and performance. That’s the idea behind Human-Centered AI. It is about building algorithms with governance and oversight so that there is a synergistic relationship between humans and technology rather than an antagonistic one.
Ben Shneiderman, professor at the University of Maryland, said that “the idea of levels of automation that range from full human control to full machine autonomy keeps alive the misguided idea that it is a zero-sum game. However, through careful design, as in cellphone cameras and navigation, designers can combine high levels of automation for some tasks, while preserving high levels of human control for creative and personal preference tasks.”
Rob Reich, professor at Stanford, said that “it’s a question of steering ourselves toward a future in which automation augments our work lives rather than replaces human beings or transforms the workplace into a surveillance panopticon. It’s up to us to create a world where financial reward and social esteem lie with companies that augment rather than displace human labor.”
Dinesh Nirmal, head of data, AI, and automation at IBM, said that “many organizations approach AI from the lens of a company problem that needs to be solved when really we all need to be considering the human problem. At the end of the day, it’s the human who is interacting with the AI that we care about. Building an effective, trustworthy conversational AI system requires asking yourself at the beginning: Who is going to be using this? How are they using it? Why are they using it? The goal shouldn’t be to design a system that can be mistaken for a human, it should be about how we can best use AI to augment human expertise, judgment, problem-solving, and decision-making.”
