Business school teaching case study: risks of the AI arms race

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Competitive haste raises questions about safe development of the technology. Explore the issues with this dean’s case study

Prabhakar Raghavan, Google’s search chief, was preparing for the Paris launch of its much-anticipated artificial intelligence chatbot in February last year when he received some unpleasant news. Two days earlier, his chief executive, Sundar Pichai, had boasted that the chatbot, Bard, “draws on information from the web to provide fresh, high-quality responses”.

Fear of missing out compels companies to rush unfinished products to market, disregarding inherent risks and costs. Meta, for example, recently confirmed its intention to double down in the AI arms race, despite rising costs and a nearly 12 per cent drop in its share price. There appears to be a conspicuous absence of purpose-driven initiatives, with a focus on profit eclipsing societal welfare considerations.

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