Grammarly's AI 'Expert Reviews' Spark Controversy Over Misattributed Advice

The deployment of Grammarly's 'Expert Review' feature, which attributed AI-generated writing suggestions to real and often prominent individuals without their explicit consent, represents a significant ethical misstep in the evolving landscape of AI-powered tools. This practice, revealed to include deceased academics and living journalists, directly challenges established norms of intellectual property, personal likeness rights, and transparent content attribution. The core issue is the blurring of lines between genuine human expertise and algorithmic output, presented under a veneer of authority that could mislead users and devalue the contributions of actual experts.

Grammarly, operating under its rebranded entity Superhuman, launched this feature in August 2025. It presented AI-inspired advice under the names of figures like Stephen King and Neil deGrasse Tyson, accompanied by a 'verified-style' checkmark, despite a subtle disclaimer buried in a side panel stating no affiliation or endorsement. This operational opacity was compounded by reports of generic advice and broken source links, further undermining the credibility of the 'expert' suggestions. The controversy escalated following reports by Wired and The Verge in March 2026, which exposed the use of names belonging to their own staff members without permission, highlighting a systemic issue rather than isolated incidents.

This episode carries substantial forward-looking implications for the AI industry. It underscores the urgent need for robust ethical frameworks governing the use of public data and personal likenesses in generative AI applications. Companies must prioritize explicit consent, clear attribution, and transparent disclosure mechanisms to avoid reputational damage, legal challenges, and erosion of user trust. The incident serves as a critical case study, demonstrating that technical innovation must be meticulously balanced with stringent ethical considerations to ensure responsible AI development and foster a sustainable, trustworthy ecosystem for AI-powered services.