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TECH TALK
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GETTING DOWN TO BUSINESS
WITH DATA ETHICS IN AI
It seems that now is the time for organisations to be prioritising
their ethics efforts to ensure AI is being applied appropriately.
Joanna Hu, Manager, Data Science (Machine Learning) at
Exabeam, explores why CIOs need to make AI ethics a top
priority, ensuring their organisation keeps pace with a fast-
evolving regulatory landscape.
W
e are now facing the fourth
industrial revolution. Data has
become the most valuable asset,
due in no small part to the fact that AI
technology relies heavily on it. Companies
need more access to data than ever before,
but with this comes a need to be more open
to share data and more importantly, to share
data through a secure and well-regulated
way without violating privacy. Consumer-
based companies also need to standardise
and simplify the procedure to allow users to
choose whether to share their data or not.
The UK government’s recent establishment
of the world’s first national AI ethics
advisory board represents a truly landmark
event. Working with government, regulators
and industry to lay the foundations for AI,
www.intelligentcio.com
the centre’s remit is to anticipate gaps in the
governance landscape, agree and set out
best practice to guide ethical and innovative
uses of data, and advise government on the
need for specific policy or regulatory action.
Organisations that develop or use AI-
powered systems should take note.
According to a recent Deloitte survey,
76% of executives say they expect AI to
‘substantially transform’ their companies
within the next three years. Yet one-third
identified ethical risks as one of their top
three concerns about the technology.
The use – or potential misuse – of data
AI systems learn from the datasets they
are trained with. But how these datasets
“
ACCORDING TO A
RECENT DELOITTE
SURVEY, 76%
OF EXECUTIVES
SAY THEY
EXPECT AI TO
‘SUBSTANTIALLY
TRANSFORM’
THEIR COMPANIES
WITHIN THE NEXT
THREE YEARS.
INTELLIGENTCIO
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