How mathematics can fight the abuse of big data algorithms

Prof Alan Champneys,  Professor of Applied Non-linear Mathematics, University of Bristol

Prof Alan Champneys, Professor of Applied Non-linear Mathematics, University of Bristol

“Is maths creating an unfair society?” That seems to be the question on many people’s lips. The rise of big data and the use of algorithms by organisations has left many blaming mathematics for modern society’s ills – refusing people cheap insurance, giving false credit ratings, or even deciding who to interview for a job.

We have been here before. Following the banking crisis of 2008, some argued that it was a mathematical formula that felled Wall Street. The theory goes that the same model that was used to price sub-prime mortgages was used for years to price life assurance policies. Once it was established that dying soon after a loved one (yes, of a broken heart) was a statistical probability, a formula was developed to work out what the increased risk levels were.

Continue reading

Share on FacebookTweet about this on TwitterShare on LinkedInEmail this to someonePrint this page