Artificial Intelligence through a Sociological Lens

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Join Professor John Macionis for an exploration of AI's potential impacts through a sociological lens. He draws on insights from tech leaders to analyze AI's implications for humanity's future.

John Macionis, Professor, Kenyon College

Join respected author and Professor, John Macionis, where he discusses the rapid development of Artificial Intelligence and suggests some of the likely outcomes of it, and offers an early assessment of the benefits and dangers of this new technology within a sociological lens.

On a summer evening in 2016, Elon Musk traveled to an upscale winery in California’s Napa Valley. He was about to turn 44, and his wife had arranged a three-day birthday celebration. That evening, Musk settled into a chair close to a fire-pit. Soon, he was joined by Larry Page, then CEO of Google. The two brilliant, billionaire business leaders talked easily on a number of topics until the conversation turned to the fairly new idea of artificial intelligence (AI). Suddenly, they became more animated and found themselves on different sides of what they agreed was a vital question: What were the likely consequences of AI for human lives?

The conversation went on for hours, becoming hotter as the fire collapsed into embers. Before long, more than thirty people had formed a circle around the two men. Page played the optimist: The distinctions between humans and computers will gradually fade away, he explained, as humans become ever-more closely linked to intelligent machines. The fastest and the smartest will eventually triumph, he reasoned. What’s not to like? Musk, however, was utterly unconvinced. He conceded that Page was probably right about the increasing power and importance of AI, but he considered machines overtaking human capabilities to be nothing less than the end of humanity.

Professor Macionis has been covering a variety of topics this upcoming semester including Economic Inequality in the United States, Family Trends: Over the Generations, Using Maps to Teach Sociology, and more.

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