AI bias harms over a third of businesses, 81% want more regulation

AI bias is already harming businesses and there’s significant appetite for more regulation to help counter the problem.

The findings come from the State of AI Bias report by DataRobot in collaboration with the World Economic Forum and global academic leaders. The report involved responses from over 350 organisations across industries.

Kay Firth-Butterfield, Head of AI and Machine Learning at the World Economic Forum, said: 

“DataRobot’s research...

‘Information gap’ between AI creators and policymakers needs to be resolved – report

An article posted by the World Economic Forum (WEF) has argued there is a 'huge gap in understanding' between policymakers and AI creators.

The report, authored by Adriana Bora, AI policy researcher and project manager at The Future Society, and David Alexandru Timis, outgoing curator at Brussels Hub, explores how to resolve accountability and trust-building issues with AI technology.

Bora and Timis note there is "a need for sound mechanisms that will generate a...

UK releases guidelines to help governments accelerate ‘trusted’ AI deployments

The UK has released new guidelines during the World Economic Forum (WEF) to help governments accelerate the deployment of trusted AI solutions.

AI is proving itself to be an important tool in tackling some of the biggest issues the world faces today; including coronavirus and climate change. However, some public distrust remains.

“The current pandemic has shown us more needs to be done to speed up the adoption of trusted AI around the world,” said Kay...

Joy Buolamwini: Fighting algorithmic bias needs to be ‘a priority’

Algorithmic Justice League founder Joy Buolamwini gave a speech during the World Economic Forum this week on the need to fight AI bias.

Buolamwini is also an MIT Media Lab researcher and went somewhat viral for her TED Talk in 2016 titled ‘How I’m fighting bias in algorithms’.

Her latest speech included a presentation in which Buolamwini went over an analysis of the current popular facial recognition algorithms.

Here were the overall accuracy results when...

AI is at risk of bias due to serious gender gap problem

AI needs to be created by a diverse range of developers to prevent bias, but the World Economic Forum (WEF) has found a serious gender gap. Gender gaps in STEM careers have been a problem for some time, but it’s not often the end product matters what gender it was developed by. AI is about to be everywhere, and it matters that it’s representative of those it serves. In a report published this week, the WEF wrote:

“The equal contribution of women and men in...