Artificial Intelligence (AI) has permeated industries, reshaping how businesses operate and innovate. However, while the spotlight often shines on cutting-edge algorithms and scalable compute resources, one crucial element tends to be overlooked: human annotation and expertise.

The research introduces Misleading ChartQA, a benchmark built to test whether today’s leading multimodal large language models (MLLMs)—including GPT-4 and Claude—can recognize when a chart is visually deceptive. Spoiler alert: they mostly can’t.

We are now in an age that increasingly seems like a Black Mirror episode where technology can create unnerving, perfect replicas of the real world. What once seemed like a distant future in sci-fi is now our daily reality in KYC verification. We're battling against an army of synthetic identities so convincing they make you question your own perception of what is real.