AI AND DATA
AI
Is Dangerous , but Not for the Reasons You Think Sasha Luccioni | TED
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A February 2024 report by Gartner predicts that by 2026 , attacks using AI-generated deepfakes on face biometrics will mean that 30 % of enterprises will no longer consider such identity verification and authentication solutions to be reliable in isolation .
Cyberattacks are evolving and unfortunately inevitable . As a result , industry leaders and businesses will need to consider new and innovative ways to counter cyber threats to data .
“ Looking ahead , AI will continue to face challenges from its own advancements ,” Ramamoorthy says . “ With the rise of more sophisticated AI technologies , such as generative models , managing privacy concerns only becomes more complex . The future of AI will involve creating selfregulating algorithms that can identify and mitigate privacy risks autonomously .
“ The evolution of AI will likely see the development of more advanced privacypreserving techniques like differential privacy and homomorphic encryption .”
The future of ‘ safe AI ’ However , despite these concerns , AI can be used for good if harnessed correctly . If businesses have stringent data privacy practices and ethical safeguards in place , then they will be more prepared to counteract data breaches in the long run .
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