Balancing Act: Navigating Transparency and Privacy in UX Design with AI Integration

In terms of UX Ethics, UX designers have many responsibilities, including transparency, privacy and data protection, user empowerment, accessibility, and continuous improvement. For transparency, designers should ensure users know what technology they are using, especially for AI systems. Transparency essentially builds trust between users and the system, so users feel comfortable using it to manage their expectations. While transparency often connects to Privacy and Data Protection, how much transparency users should know is key from a system-thinking perspective. If the system doesn’t provide much transparency, it gives a less trustworthy environment for users. If the system is the other way around, users have so much information, and it might create problems for leaking information for hackers or stalkers to know others’ information. The line between privacy and transparency is important to control between lines. 

While it courts AI technology, algorithmic transparency, privacy, and data protection are essential in the process. When technicians import information to the AI system, it should be a spectrum of dates; however, that is not always the case. Technicians might be biased because of their race, culture, or beliefs. It happened before with the Apple album, while a black woman was being classified as a gorilla as her friends were, while people were classified as normal humans. This kind of real case happened in the real world and showed that algorithmic transparency is important for users to review and explain how AI-driven decisions are made. The transparency will motivate companies to take extra precautions because it could affect the company’s revenue.