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.
Netflix drama Adolescence highlighted the need for good male role models, yet a new study reveals discrimination against male teachers.
Four in every five projects fail - and Generative AI is no exception. But Christian Stadler highlights some quick wins it offers for managers.
Yumna Arif explores the challenges that working-class women face in the workplace and how to overcome them.
Hong Yu Lui reveals how the 807 movement created a template to tackle gender discrimination in countries where unions have few rights.
Boardrooms are moving at glacial pace to reach gender equality, researchers find out why.
A panel of WBS experts explore how AI could increase inclusion or exacerbate inequality in the workplace.
Shweta Singh looks at the hallucinations and biases undermining trust in AI, while Isabel Fischer investigates the potential of AI in education.
There is growing realisation that it is an essential ingredient for productivity, says Vicki Belt of the Enterprise Research Centre.
Organisations may unwittingly alienate those from different backgrounds warn Innan Sasaki and Sofiane Baba.
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