Grammarly, a prominent figure in the realm of digital writing assistance, has recently rolled out a new artificial intelligence feature that is stirring considerable discussion regarding the ethics of attribution and the very definition of "expert" advice in the age of generative AI. Launched in August 2025 as a key component of a broader suite of AI-powered enhancements, the "Expert Review" functionality aims to elevate user writing by purportedly offering suggestions "from the perspective" of renowned subject matter authorities. However, the implementation of this feature has quickly ignited questions about the involvement, or lack thereof, of the individuals whose names are invoked.

Grammarly’s Evolution and the AI Landscape

Grammarly’s journey began over a decade ago as a simple grammar and spell-checking tool, quickly gaining popularity for its ability to identify errors beyond basic linguistic rules. Over time, it evolved into a sophisticated writing assistant, offering suggestions for clarity, conciseness, engagement, and delivery. Its user base expanded exponentially, encompassing students, professionals, and casual writers across the globe, all seeking to polish their digital communications. This evolution positioned Grammarly at the forefront of integrating AI into the writing process, a trend that has accelerated dramatically in recent years with the advent of large language models (LLMs) and generative AI.

The broader technological landscape has witnessed an explosion of AI tools designed to assist, and even create, written content. From Microsoft’s Copilot to Google’s Gemini, and the ubiquitous ChatGPT, these platforms promise to revolutionize productivity and creativity. The integration of AI into writing assistants like Grammarly is a natural progression, aiming to move beyond simple corrections to offer more nuanced, context-aware, and style-specific feedback. The "Expert Review" feature represents Grammarly’s ambitious leap into providing advice that mimics the insights of seasoned professionals, pushing the boundaries of what users expect from automated writing tools. This innovation, however, also pushes the boundaries of ethical AI deployment, particularly concerning intellectual property and perceived endorsement.

Unpacking the "Expert Review" Feature

The "Expert Review" feature manifests as a sidebar option within Grammarly’s main writing interface, allowing users to request feedback tailored to specific stylistic or contextual goals. According to reports from various technology publications, including Wired and The Verge, the feature presents revision suggestions framed as if emanating directly from well-known authors, living or deceased. For instance, a user might receive advice on narrative structure attributed to a classic novelist or tips on persuasive writing from a contemporary non-fiction author.

The scope of these simulated experts extends beyond literary figures, delving into the realm of technology journalism and public commentary. Articles have noted instances where feedback appeared to originate from prominent tech journalists associated with outlets such as The Verge, Wired, Bloomberg, and The New York Times. This particular aspect of the feature raised eyebrows among industry insiders. One user, attempting to evaluate the feature, recounted receiving suggestions attributed to figures like Casey Newton, advising on ethical context, Kara Swisher, on leveraging anecdotes for reader alignment, and Timnit Gebru, on posing broader accountability questions. The conspicuous absence of attribution to colleagues from the user’s own publication, TechCrunch, further highlighted the seemingly arbitrary selection process for these "experts."

The Core of the Controversy: Misrepresentation and Attribution

The central point of contention revolves around the fundamental issue of attribution and potential misrepresentation. It quickly became apparent that none of the named individuals, be they celebrated authors, investigative journalists, or influential academics, are actively involved in generating these "expert reviews," nor have they granted Grammarly explicit permission to use their names in this manner. This disconnect between the feature’s suggestive framing and the reality of its operation forms the crux of the ethical debate.

In response to queries, Alex Gay, vice president of product and corporate marketing at Superhuman, Grammarly’s parent company, clarified that these experts are mentioned because "their published works are publicly available and widely cited." This explanation suggests that Grammarly’s AI models have been trained on the publicly accessible corpus of these individuals’ writings and ideas, enabling the AI to generate feedback that simulates their distinctive styles or perspectives.

Further, Grammarly’s own user guide for the "Expert Review" feature includes a disclaimer: "References to experts in Expert Review are for informational purposes only and do not indicate any affiliation with Grammarly or endorsement by those individuals or entities." While this statement aims to manage user expectations and mitigate potential claims of endorsement, it does little to assuage critics who argue that the very name "Expert Review" inherently implies direct involvement or, at minimum, a sanctioned collaboration with actual experts. As historian C.E. Aubin succinctly put it in an interview with Wired, "These are not expert reviews, because there are no ‘experts’ involved in producing them." This perspective underscores the semantic and ethical chasm between an AI simulating expertise and an actual expert providing a review.

Legal and Ethical Dimensions of AI Attribution

The controversy surrounding Grammarly’s "Expert Review" feature illuminates several critical legal and ethical challenges facing the rapidly evolving field of generative AI. One significant area of concern is the right of publicity for living individuals. This legal concept protects a person’s right to control the commercial use of their identity, including their name, image, and likeness. When a company uses a public figure’s name to market or describe a product feature, even with a disclaimer, it raises questions about whether that use constitutes unauthorized commercial exploitation, particularly if it implies an endorsement or association that does not exist. While "publicly available and widely cited" works might be fair game for AI training, the commercial attribution of AI-generated content to specific individuals without consent is a much more complex matter. The estates of deceased authors could also raise similar concerns, depending on the jurisdiction and specific posthumous rights.

Beyond legalities, the issue delves deep into AI ethics and transparency. There is a growing demand from consumers, regulators, and ethicists for AI companies to be more transparent about their data sources, training methodologies, and the limitations of their systems. When an AI feature is branded as "Expert Review" but relies solely on algorithmic mimicry rather than human consultation, it creates a potential for user deception. Users, especially those less familiar with the nuances of AI, might reasonably infer that the named experts have some direct involvement, leading to an unwarranted sense of authority or trustworthiness in the AI-generated advice. This lack of clear, immediate transparency can erode trust in AI tools and the companies that develop them.

Market, Social, and Cultural Implications

The implications of features like "Expert Review" extend beyond individual legal battles, touching upon broader market dynamics, social perceptions, and cultural shifts. In the highly competitive market for writing assistance tools, there’s a constant pressure to innovate and differentiate. The "Expert Review" could be seen as Grammarly’s attempt to gain an edge by offering a seemingly personalized and authoritative layer of feedback. However, if such features are perceived as misleading, they could backfire, damaging brand reputation and user loyalty in the long run.

Socially, the feature raises questions about the value of genuine human expertise in an increasingly AI-driven world. If AI can convincingly simulate the advice of a literary giant or a seasoned journalist, what does that mean for the actual labor and intellectual property of those individuals? It could potentially dilute the perceived value of authentic human review and mentorship, leading to a devaluing of specialized knowledge. For students and aspiring writers, relying on AI-generated "expert" advice without critical engagement could foster a superficial understanding of writing principles, potentially hindering the development of their own unique voice and critical thinking skills.

Culturally, the "Expert Review" feature contributes to the ongoing blurring of lines between human and artificial intelligence, between authenticity and simulation. As AI becomes more sophisticated in mimicking human creativity and intellect, society grapples with defining what remains uniquely human. The ability of an AI to generate text "in the style of" or "from the perspective of" a specific individual challenges our traditional notions of authorship, intellectual ownership, and the very concept of a "voice." This phenomenon is not unique to writing; similar debates are unfolding in the fields of AI art, music, and voice synthesis, all of which grapple with the ethical use of training data derived from human creators and the attribution of AI-generated outputs.

The Road Ahead for AI-Assisted Writing

Grammarly’s "Expert Review" feature serves as a potent case study in the complexities and ethical dilemmas inherent in integrating advanced AI into everyday tools. While the intent to provide sophisticated writing assistance is commendable, the method of attributing AI-generated advice to specific, uninvolved individuals raises significant concerns about transparency, intellectual property, and user trust.

The industry as a whole is navigating uncharted waters. Companies developing AI tools face the challenge of balancing rapid innovation with a robust framework of ethical guidelines and clear communication. Moving forward, a greater emphasis on explicit disclaimers, user education about AI capabilities and limitations, and perhaps even a re-evaluation of feature nomenclature will be crucial. The debate sparked by Grammarly’s feature underscores the vital need for ongoing dialogue among developers, users, legal experts, and ethicists to ensure that AI advancements are deployed responsibly, transparently, and with respect for human creativity and intellectual contributions. The future of AI-assisted writing hinges not just on technological prowess, but equally on ethical integrity and clear communication about what artificial intelligence truly is—and what it is not.