Humans and Machines
There is little doubt that Artificial Intelligence (AI) is at the core of many promising and exciting technologies that are shaping humanity’s relationship with its future. AI’s influential rise is responsible for very advanced systems both large and small. Many of these we interface with on a daily basis, such as search engines, speech recognition technologies (Alexa, Siri and Ok Google), photo tagging, as well as more sophisticated systems, like self-driving cars, automated design, and human and capital investment models. These systems learn to perform these and other historically human tasks through large dataset libraries and machine learning algorithms. Recently, we have also witnessed some unsettling failures by these very systems that can be attributed to their artificial intelligence. AI models have, and continue to mistakenly exhibit, gender and racial biases with photo sorting and urban services, unfair employment and educational performance rating models, and flawed credit ratings, to name a few. Prominent members of the technology and design community such as Elon Musk, Stephen Hawking and Bill Gates have also cited concerns and warned against these and other potential AI risks to humans. These and other real world examples will serve as case studies toward examining a less than perfect AI.
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