What: Anthropomorphizing AI in public discourse misleads consumers, undermines trust, and obscures accountability in technology deployment.

Why it is important: Misleading language about AI can erode trust and hinder responsible innovation, as highlighted by recent industry analyses.

The article critiques the widespread use of anthropomorphic language in discussions about artificial intelligence, arguing that such descriptions mislead the public and obscure the true nature and limitations of these technologies. By portraying AI as possessing human-like intelligence, emotions, or agency, both companies and the media risk fostering misplaced trust and unrealistic expectations among consumers. This framing not only oversells the capabilities of AI systems but also shifts accountability away from the people and organizations responsible for their development and deployment. The authors emphasize that metaphors and humanizing terms can distort understanding, particularly for vulnerable populations, and may lead to negative outcomes such as over-reliance, dehumanization, and even psychological harm. They advocate for more precise, functional language that accurately reflects what AI systems do, rather than what they are purported to be. This shift in communication is essential for improving AI literacy, enabling informed decision-making, and ensuring that technology serves human interests responsibly.

IADS Notes: Recent research and industry developments strongly reinforce the argument that anthropomorphizing AI in retail communications can undermine consumer trust and distort expectations. As highlighted in Harvard Business Review (January 2025), studies show that consumers prefer transparency and the clear involvement of human expertise over attempts to make AI appear more human-like, with this approach significantly improving acceptance and confidence in AI-powered retail experiences. The surge in GenAI adoption throughout 2025, as reported by BCG (January 2026), has made AI a central touchpoint for shoppers, but consumers continue to prioritize objectivity and transparency, compelling retailers to rethink their digital strategies to maintain relevance and trust. Responsible AI practices, particularly those emphasizing privacy and auditability, have been shown to boost adoption rates and satisfaction, as seen in Harvard Business Review (March 2025), while high satisfaction and operational gains are only realized when consumers perceive AI interactions as trustworthy and well-supervised, according to CB News (May 2025). The rapid integration of AI-driven shopping assistants, especially during peak periods like the 2025 holiday season, further underscores the need for brands to balance innovation with clear, authentic communication to maintain consumer confidence, as noted by The Economist (December 2025).

We need to talk about how we talk about 'AI'