News article by Ayanna Howard and Jason Borenstein.
Published in MIT Sloan Management Review.
Before COVID-19, most people had some degree of apprehension about robots and artificial intelligence. Though their beliefs may have been initially shaped by dystopian depictions of the technology in science fiction, their discomfort was reinforced by legitimate concerns. Some of AI’s business applications were indeed leading to the loss of jobs, the reinforcement of biases, and infringements on data privacy.
Those worries appear to have been set aside since the onset of the pandemic as AI-infused technologies have been employed to mitigate the spread of the virus. We’ve seen an acceleration of the use of robotics to do the jobs of humans who have been ordered to stay at home or who have been redeployed within the workplace. Labor-replacing robots, for example, are taking over floor cleaning in grocery stores and sorting at recycling centers. AI is also fostering an increased reliance on chatbots for customer service at companies such as PayPal and on machine-driven content monitoring on platforms such as YouTube. Robotic telepresence platforms are providing students in Japan with an “in-person” college graduation experience. Robots are even serving as noisy fans in otherwise empty stadiums during baseball games in Taiwan. In terms of data, AI is already showing potential in early attempts to monitor infection rates and contact tracing. [ . . . ]