How we work is set to change rapidly thanks to technologies like AI, automation, robotics and the Internet of Things.
It will mean new skills, new jobs and even new industries are needed, plus an understanding of the implications of this change for society as a whole. Questions around the ethics of data and AI biases, and whether a robot tax is needed to help those replaced by automation are being answered, while the sharing economy is changing our relationship to work.
WBS leads the University's Productivity and Future of Work Global Research Priority (GRP) and is at the vanguard of this developing area, exploring the ethics, technologies and structures that are evolving and will impact every organisation.
Generative AI has the potential to transform how companies work, boosting productivity. Find out the areas it is redefining already.
Dimitrios Spyridondis shares six leadership capabilities that helped some of the best in the business to make the most of AI.
Joshua Fullard argues that teachers need a better deal in order to meet Labour's manifesto pledge to recruit 6,500 new teachers.
New research by Hila Lifshitz reveals senior professionals should not view juniors as a short-cut to upskilling when introducing generative AI tools.
Hila Lifshitz explores the challenges of identifying when generative AI improves performance and when it can have worrying consequences.
Research by Joshua Fullard found almost a quarter of primary schools in England only have white female teachers.
Ram Gopal reveals why privacy regulations like GDPR and the Consumer Privacy Act could lead to our data being shared more widely online.
Biases in AI are a big problem, especially as more and more firms adopt the technology. Anh Loung explains how to mitigate it.
The State of Small Business Britain report reveals the challenges SMEs face and creates a manifesto for growth.
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