Why ChatGPT Is Facing a Wave of Backlash: Data Security, Misinformation, and Job Displacement Concerns

AI is rapidly approaching everyday life, with many calling it the fourth technological revolution and dubbing ChatGPT the "key" to this shift. While its impressive capabilities initially sparked global excitement, the hype has faded and the technology now faces scrutiny from various angles.

Prominent figures such as Warren Buffett liken AI’s impact to the atomic bomb, warning of its disruptive power, and AI pioneer Geoffrey Hinton has warned that AI poses a more urgent existential threat than climate change because we lack effective safeguards.

Major financial institutions—including JPMorgan, Citibank, and Bank of America—have begun restricting or banning ChatGPT, and tech giants like Samsung, TSMC, and SK Hynix have issued internal notices limiting its use. Italy’s data‑protection authority temporarily halted ChatGPT operations for violating GDPR, and over a thousand industry leaders signed an open letter urging a six‑month pause on developing models more powerful than GPT‑4.

Data security emerges as a primary concern: Samsung’s engineers inadvertently fed proprietary source code and internal documents to ChatGPT, leading to the leakage of sensitive semiconductor data. Similar worries have prompted companies and regulators worldwide to limit the model’s access to confidential information.

Misinformation is another critical issue. In Australia, a mayor sued OpenAI for defamation after ChatGPT falsely linked him to a bribery scandal. Earlier, a U.S. law professor was wrongly accused of sexual harassment by the model, illustrating how AI can generate fabricated claims that are then amplified by malicious actors.

There are also fears that ChatGPT will “steal human jobs.” OpenAI’s CEO Sam Altman acknowledged AI’s potential to disrupt labor markets, noting that while some roles may disappear, new opportunities will also arise, echoing historical concerns seen during the rise of e‑commerce.

To navigate the AI era, the article proposes three layers of preparation: (1) technical – increased investment in AI research, development of standards and testing frameworks, and talent cultivation; (2) legislative – clear AI regulations, ethical guidelines, and robust data‑ownership protections; and (3) public awareness – education to dispel AI‑related fears and promote responsible adoption.

Ultimately, the piece argues that, like past technological revolutions such as automobiles and social media, AI will become indispensable if society proactively addresses its risks and harnesses its benefits.