The Hidden Prejudices of AI in Web Design
122.00 £
Published date: 2026/01/28
- Location: 26903, Patagonia, Minnesota, United States
As artificial intelligence becomes more integrated into web design, questions about ethics and bias are growing harder to ignore. AI-powered platforms increasingly automate layout creation, tone selection, content generation, and behavioral prediction using learned data patterns.
While these capabilities promise efficiency and mystrikingly.com personalization, they also risk reinforcing harmful stereotypes and excluding certain groups of users. The consequences extend beyond usability to fundamental issues of equity and representation.
One major concern is bias in training data. The datasets feeding AI often mirror long-standing societal imbalances.
For example, if an AI is trained primarily on websites designed for young, urban, tech-savvy users, it may overlook the needs of older adults, people with disabilities, or those in rural areas. The result?
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