Home / 4As Blog / AI’s Blind Spot: The Need For Human Oversight
Published 10.02.2024
by Ashwini Karandikar, Op-Ed Contributor
In the age of artificial intelligence, are we relying too heavily on the capabilities of large language models (LLMs) without fully understanding their limitations?
As Generative AI (GenAI) adoption continues to accelerate, we are witnessing an alarming trend: the increasing reports of different techniques like feeding data into the learning models that is not visible to the human eye (i.e. invisible ink) to influence—or downright mislead—the training data used to build current AI models.
Some are innocent attempts to understand the limits of LLMs, others are mischievous, yet both have the potential to do harm. Even before LLM manipulation gained visibility, roughly 60% of senior agency decision makers expressed concern about reliability, accuracy and bias in GenAI, according to a recent study fielded by the 4As and Forrester. Now, this rising tide of LLM manipulation has highlighted a pressing issue: the absolute necessity of stringent human oversight in developing and managing these powerful technologies.
