Artificial intelligence (AI) is rushing into business. Firms of all types are using AI to forecast demand, hire workers and deal with customers. The McKinsey Global Institute, a think-tank within a consultancy, forecasts that just applying AI to marketing, sales and supply chains could create economic value of $2.7trn over the next 20 years.

    Such grand forecasts fuel anxiety as well as hope. Less familiar, but just as important, is how AI will transform the workplace.

    Start with the benefits.AI ought to improve productivity. Humanyze, a people analytics software provider, combines data from its badges（工牌）with employees' calendars and e-mails to work out, say, whether office layouts favour teamwork .Slack, a workplace messaging app, helps managers assess how quickly employees accomplish tasks. Companies will see when workers are not just dozing off but also misbehaving.

    Employees will gain, too. Thanks to advance in computer vision, AI can check that workers are wearing safety equipment and that no one has been harmed on the factory floor. Some will appreciate more feedback on their work and welcome a sense of how to do better.

    Machines can help ensure that pay rises and promotions go to those who deserve them. That starts with hiring. People often have biases but algorithms（算法）, if designed correctly, can be more unprejudiced. Software can flag patterns that people might miss.

    Yet AI^'s benefits will come with many potential drawbacks. Algorithms may not be free of the biases of their programmers, which can have unintended consequences. The length of a travel may predict whether an employee will quit a job, but this focus may harm poorer applicants. Older staff might work more slowly than younger ones and could risk losing their positions if all AI looks for is productivity. And surveillance（监控）may feel Orwellian—a sensitive matter now that people have begun to question how much Facebook and other tech giants know about their private lives.

    As regulators and employers weigh the pros and cons of AI in the workplace, three principles ought to guide its spread. First, data should be anonymized where possible. Microsoft, for example, has a product that shows individuals how they manage their time in the office, but gives managers information only in aggregated（整合）form. Second, the use of AI ought to be transparent. Employees should be told what technologies are being used in their workplaces and which data are being gathered. As a matter of routine, algorithms used by firms to hire, fire and promote should be tested for bias and unintended consequences. Last, countries should let individuals request their own data, whether they are ex-workers wishing to contest a dismissal or jobseekers hoping to demonstrate their ability to prospective employers.

    The march of Al into the workplace calls for trade-offs between privacy and performance. A fairer, more productive workforce is a prize worth having, but not if it chains employees. Striking a balance will require thought, a willingness for both employers and employees to adapt and a strong dose of humanity.