Data Deception: how data provenance failure undermines trust in AI analytics

Dr Kelvin Ross,
Datarwe CTO

29 June 2020

While data privacy and ethical use of data is extensively considered in relation to trust and assurance by AI communities, a recent controversy in medical research highlights that trust in data origin has deep implications for analytical insights and implications.

On 22ndMay 2020, the Lancet published a study “Hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19: a multinational registry analysis” (1).  The article quickly became a blockbuster study at the height of the COVID-19 outbreak, brought on by a combination of medical research enchantment in potential COVID-19 cures, as well as the public/political interest following comments by President Trump in his anecdotal support for Hydroxycloroquine.  The Lancet, one of medicine’s most respected journals, lauded the study in its editorial (2):