[AI Ethics Seminar ep.5] AI Ethics from a UI/UX Designer's Perspective - LG AI Research BLOG

Generative AI services offer convenience but give rise to various ethical dilemmas such as privacy infringement, bias, and lack of transparency. These problems occur frequently not only on the technical side but also in UI/UX design.

In particular, Deceptive Patterns (dark patterns), which prioritize corporate interests over user interests and induce unfavorable choices, are pointed out as a major issue. Representative types include the following.

• Forced Continuity: Inducing automatic renewal of paid subscriptions
• Forced Consent: Requiring mandatory agreement to terms in order to use certain features
• Privacy Zuckering: Designing settings that induce excessive data sharing

To resolve this, integrating technology with ethical design is essential. Specific design directions are as follows.

• Transparent Information Disclosure: Clearly disclosing how the AI operates, its training data, and the purpose of data use
• User Control Features: Providing tools that let users directly manage permissions, such as data deletion and modification
• Feedback Mechanism: Building a structure where users can naturally leave opinions about their AI experience and have them reflected in quality improvement
• Safety Measures: Implementing response tools that let users immediately report inappropriate content when it is generated