AI is rapidly changing the way we live and work. And with so much scope and commitment, it's easy to think that advances in AI means we'll all lose our jobs. But there is another way to framing the future. AI complementarity is the idea that artificial intelligence tools can and should enhance human capabilities.
Eric Brinjolfson, professor of economics, operation, information and technology at Stanford Graduate School, and his colleagues, tried to understand how AI tools could change someone else's experience at work. They saw over 5,000 customer support agents with access to generator AI-based assistants trained on millions of service request transcripts. While the agents chatted with customers, the assistant gave real-time recommendations on how to best deal with them.
Brynjolfsson and his team discovered that access to AI tools helps workers solve 14% of their problems per hour. Additionally, beginners and low-skilled workers experienced a 34% improvement. By analyzing a huge amount of information, AI did what it did best. This has helped our customer service team do their best.
As Ai-Enhanced's desire to work accelerates, Stanford GSB professors emphasize the need for business leaders to prioritize people in decision-making.
“We don't have much work yet, but we take the design of our human interfaces really seriously,” says Jann Spiess, an associate professor of administration, information and technology. “Our argument about AI and AI capabilities is, “Is AI better than humans?” “He continues. “I think instead, we should ask, 'What is the complementary use of AI?' ”
Kuang Xu, who is also an associate professor of business and technology, said, “In the end, AI and data science should help drive better decisions. That's always the case.”
See this short explanation for more details.
