Artificial intelligence (AI) is better at hiring staff than human bosses, but companies still don't trust it in the recruitment process, a new study finds. Researchers in London have conducted a review of previous studies that assessed the effectiveness of AI as a recruitment tool. They found AI is'equal to or better than' human recruiters when it comes to hiring people who go on to perform well at work. Although AI had limited abilities in predicting employee outcomes after they were hired, AI is'fairer' and marked a substantial improvement over humans, they reveal. AI also boosts the'fill-rate' for open positions and is'mostly better than humans' at improving diversity in the workplace.

The main worries surrounding artificial intelligence (AI) and its future is how one day, it'll prove to be the biggest job-killing technology of all-time, or worse even, the autonomous bots will group together and wipe out the human race completely. We're still waiting for hard evidence on how this might happen, but meanwhile in China, a study found that 88 percent of workers have more trust in robots than their human managers. The study, which was published on Tuesday by the US software company Oracle and the research firm Future Workplace, polled 8,370 employees, managers, and human resources workers in 10 countries from July to August of this year. Its findings revealed that China's trust level of robots in the workplace is well above the global average, with about two thirds of workers admitting they feel optimistic about having a robot co-worker. Find out at TNW's Hard Fork Summit "Over the past two years, we've found that workers have become more optimistic as they've adopted more AI in the workplace," Dan Schawbel, Research Director at Future Workplace said in a statement.

At its core, technology exists to make our lives easier. Thanks to artificial intelligence, our tools have gotten smarter, and we're more productive as a result. According to a study released earlier today, workers around the world not only recognize AI's importance in the modern workplace – they embrace it. Conducted over the summer in partnership between Oracle and Future Workspace, the second annual AI at Work study asked 8,370 employees, managers and HR leaders from 10 countries about AI and its place in their work. Researchers found that AI is rapidly changing not only how we conduct business, but the very relationship between people and the tech they use every day.

A common refrain in the media is that people don't like their boss and people are scared of robots. So I wondered about the truth and nuance to these emotions: how many people would prefer a robot to their boss? The old saying goes, "People join a company, but they leave a bad boss." As Gallup research demonstrates, 70% of how we feel about work--our emotional commitment--is driven by who our manager is. The ongoing employee engagement crisis is largely about managers who know how to manage tasks, but don't know how to lead people. And there is also growing press coverage about automation and the emergence of robots in the workplace.

Digitization and automation are ever-growing topics in relation to the workplace. A famous Oxford study on the future of employment from 2013 estimated that up to 47% of American jobs may be automated by 2035; a brand new McKinsey study shows that current technologies could automate 45 percent of job activities; and the business mantra goes that if you can digitize, you should digitize to gain a competitive advantage. But how do we, as human beings, really feel about potentially working with or even for AIs, and what impact do we think they will have on our workplace? A recent study conducted in the US, UK and Denmark explores people's openness towards working with and for "unbiased computer programs"--defined as "a software robot that makes decisions or proposals for decisions based on data from HR, financial or market information. The software robot is unbiased, i.e. it is not affected by the personal, social and cultural bias that influence human decision making, but balances all input only based on the data."