The ICO sent shockwaves through the data world with two gigantic fines issued to two large enterprises in two days. Though this move will probably be welcomed by the public, it does throw up a lot of questions.
In this edition of the podcast, Andrew Lynn of Unicef talks about practical data governance, Adria Gascon of the Alan Turing Institute discusses privacy algorithms, and Professor Marina Jirotka of the University of Oxford considers a data ethics blackbox.
Experian is a FTSE 100 business with a history it can trace back to 1968. So it may seem surprising that a company which trades in data only set up a central data office relatively recently. Jonathan Westley, chief data officer, talked to DataIQ about his role and why data as an internal area of focus has moved to the foreground.
May was the month of greater scrutiny of automated facial recognition with heightened social media awareness of a police facial recognition trial, a citizen taking the police to court over distress caused by this type of technology and a congressional hearing in the US highlighting the problems of applying AI facial recognition to law enforcement.
In this edition of the podcast, hear highlights from two panel sessions on data ethics from the recent DataIQ Align conference. Plus an interview with this year’s number one in the DataIQ 100, Orlando Machado from Aviva.
What is the ’data divide’? Who is on either side of it? What does the divide mean for the collection and consumption of data? Toni Sekinah considers the questions we should ask ourselves as more people log on to the internet, which has been developed with one type of user in mind.
A teenager in the US is suing Apple for $1 billion, claiming that its facial recognition system incorrectly identified him as the culprit of a string of thefts from Apple stores in four states. Toni Sekinah gives her opinion on the matter.
Humans are the biggest threat to personal data according to a sample of Twitter users, who admit to having a lackadaisical attitudes and behaviours surrounding the security of sensitive company data. Toni Sekinah reports.
Following the Boeing 737 Max crashes, questions need to be asked about the use of data and automation in connected vehicles. Far from being just an issue for the airline industry, all sectors adopting AI need to start thinking about how they arbitrate conflicting information and when to let the human back into the loop. By David Reed