Why Ethics Matter in AI for UX:
The decisions we make in designing AI systems that interact with users have a significant impact

Algorithmic Bias:
One of the biggest challenges in AI development is algorithm bias. These biases can arise from unrepresentative training data, poorly designed algorithms, or even from implicit assumptions we carry as developers.

Data Privacy:
Data is the fuel for AI. However, we must be very careful in managing user data. Data privacy is a fundamental right, and we have a responsibility to protect user data from misuse.

Transparency and Interpretability:
AI models are often considered black boxes that are difficult to understand. However, transparency is critical to building user trust.

Human Responsibility:
Meskipun AI semakin canggih, manusia tetap memegang peran yang sangat penting. Kita perlu memastikan bahwa AI digunakan untuk tujuan yang baik dan tidak merugikan manusia.