AI is catapulting every sector into innovation and efficiency as machine learning provides invaluable insights humans never previously conceived. However, because AI adoption is widespread, threat actors see opportunities to manipulate data sets to their advantage. Data poisoning is a novel risk that jeopardizes any organization’s AI advancement. So is it worth getting on the bandwagon to gain benefits now, or should companies wait until the danger is more controlled?
What Is Data Poisoning?
Humans curate AI data constantly sets to ensure accurate determinations. Oversight manages inaccurate, outdated, or unbalanced information. It also checks for outliers that could skew things unreasonably. Unfortunately, hackers use data poisoning to render these efforts void by meddling with the input provided to machine learning algorithms in order to produce unreliable outcomes.