Hi everyone!
As you can see, this week’s blog is all about big data!
For those unaware, Oracle defines big data
as “data that contains greater variety, arriving in increasing volumes and with
more velocity”. Sources of big data are being driven from AI, bringing a
world of ethical and social challenges. In this blog post I’ll be discussing 3
different social and ethical issues associated with big data.
Privacy
There are many fears in today world that big data’s velocity, volume and veracity brings a huge threat to fundamental privacy. Big data analyses massive amounts of structured and unstructured data extremely quickly, giving businesses new and improved ways of analysing their consumers. However, some of this data analytics brings forward the challenge of privacy. In some businesses, CCTV is now being used to track customers movements through the store and help the business in product assortment. New processes such as this is worrying for customers who’s movements are being constantly watched and analysed likely without consent.
Algorithm Bias
According to a case study on the Robo-Debt scheme in Australia, the sources of algorithmic bias are data bias, method bias and societal bias (Akter Et Al., 2021). Algorithmic bias are outcomes that may have an adverse impact on protected or unprotected groups. For example, algorithms have been developed to predict a patients pain from an x-ray. However, this algorithm was solely based on white patients, being completely inaccurate for patients of colour.
Ownership
As you can clearly see for the examples above, although big
data brings extensive benefits to businesses, social and ethical challenges
make the development of big data in our world today extremely concerning for
unaware consumers.
I would love to know how you feel about this topic, does it scare you? Do the benefits out way the challenges? Let me know in the comments!



Some great points
ReplyDeletethanks!
DeleteInsightful blog Claire!
ReplyDelete