The new Grammarly expert review feature has sparked criticism among academics. Researchers say the tool references scholars without their permission and sometimes includes individuals who have already died.

The controversy began after users noticed that the system suggested feedback inspired by well-known academics. Critics argue that this approach raises ethical concerns about how artificial intelligence uses scholarly work.

The debate highlights growing tensions between AI development and academic consent.

New AI feature offers expert-style feedback

Grammarly introduced the expert review feature as part of its writing assistance tools. The system offers feedback inspired by recognized experts from fields such as history, economics, and journalism.

According to the company, the feature draws on publicly available writings to generate suggestions. The goal is to help users improve clarity, argument structure, and tone by referencing expert perspectives.

However, some academics believe the feature creates the impression that real scholars are reviewing the text. In several cases, the tool suggested experts who had already passed away.

The discovery triggered immediate discussion across academic communities.

Scholars question how their work is used

Several researchers raised concerns after seeing their colleagues appear in the system’s suggestions. Critics say the feature may rely on AI models trained on published academic material.

Historians and researchers argue that their work and reputation should not be used without consent. Some scholars described the situation as troubling because it appears to simulate expert authority.

Others warned that using the names of real academics could imply endorsement. That implication may mislead users into believing the scholars participated in the feedback.

The issue becomes even more sensitive when the referenced individuals are deceased.

AI personas raise ethical concerns

Some observers believe the system relies on persona-style prompts rather than full digital replicas of scholars. This technique guides AI responses using information about a person’s ideas or writing style.

Even if the system does not reproduce exact models of individuals, critics still see ethical problems. Referencing scholars by name can create confusion about authorship and authority.

Academics worry that AI tools could appropriate intellectual influence without acknowledgement or approval. Their concerns reflect broader debates about ownership and representation in AI systems.

These questions extend beyond a single product and affect the entire research community.

Debate grows over AI training practices

The backlash surrounding the Grammarly expert review feature reflects wider debates about AI training data. Many technology companies rely on large datasets that include publicly available articles, books, and research papers.

Authors and researchers increasingly question how their work enters these datasets. Some argue that companies benefit from intellectual labor without proper consent or compensation.

Legal disputes around AI training practices have already begun to appear in several countries. Experts expect these debates to intensify as AI tools expand across education and publishing.

The Grammarly controversy illustrates how quickly these concerns can surface.

Conclusion

The criticism surrounding the Grammarly expert review feature shows how sensitive academic attribution has become in the AI era. By referencing real scholars, including deceased researchers, the tool triggered questions about consent and intellectual ownership.

While the feature aims to improve writing through expert-inspired suggestions, academics warn that the approach may misrepresent scholarly authority. These concerns highlight the broader challenge of balancing innovation with ethical responsibility.

As AI tools become more common in research and writing, companies will face increasing pressure to clarify how they use academic work and identities.


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