Sidney Poitier played a pivotal role during the civil rights movement. After his recent passing, we remember him as an icon of the film industry.
AI technology ethics are already being questioned, with critics saying systems could compromise privacy, target marginalized groups and normalize intrusive surveillance.
Institutions need to incorporate an understanding of intersectionality into their policies and practices – including recruitment and leadership style.
Examples of media, entertainment and sports brands that are bringing their diversity commitments to life.
Nearly 40% of rural Black Americans have no internet at home and the lack of available services and cost contribute to the digital gap.
We have a moral and economic imperative to end racism and racial injustice. Here's what the World Economic Forum and GHR Foundation are doing about it.
Universities provide an environment to shape the world in which we want to live and help students contribute to an equitable world.
A new paper shows that racial and ethnic inequalities have cost the US economy $51 trillion in lost output since 1990.
Universities can be places of exclusion as well as enlightenment – unless they are set up to provide upward mobility for all. Here's how to do it
Since the first one was founded in 1837, historically Black colleges and universities have been vital in supporting and educating U.S. students of colour.
Efforts to challenge discrimination and promote diversity have so far focused largely on conscious perceptions – which can end up reinforcing bias.
Understanding the limitations and benefits of different approaches to measuring discrimination is vital if we're to fight it. writes an associate professor.
Athletes have been given more freedom to express themselves at the Tokyo Olympics. But how far have we really come in the fight for racial justice in sport?
A Pew Research Center survey has shown that Black and Hispanic adults in the U.S. are less likely than white adults to say they own a traditional computer.
There are many multiple ways in which artificial intelligence can fall prey to bias – but careful analysis, design and testing will ensure it serves the widest population possible