AI BriefingLG AI Research: The Importance of AI Ethics Research
Key point
It analyzes deceptive patterns that can occur during the UI/UX design process of AI services and proposes ethical design approaches.
Details
Generative AI services offer convenience, but they also come with ethical dilemmas such as privacy infringement, biased results, and lack of transparency. In particular, these issues frequently appear in the UI/UX design of AI services as well.
Representative examples of Deceptive Patterns include the following.
- Forced Continuity: A pattern that induces subscriptions to automatically renew or payments to continue unless the user cancels
- Forced Consent: A pattern that forces users to agree to unwanted data collection or terms of service in order to use a specific feature
- Privacy Zuckering: A pattern that induces users to share more personal information than they intended
To address these ethical issues, it is essential to integrate ethical design alongside technological advancement. Designers must comply with global AI ethics standards and develop trustworthy UI/UX patterns, such as providing information to users transparently.
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