In a world where artificial intelligence (AI) is becoming increasingly integrated into our daily lives, [building trust with bots](https://dasha.ai/en-us/blog/conversational-design-2) has become a crucial goal for designers and developers. Trust is the foundation upon which successful AI interactions are built. Without it, users may hesitate to engage with AI systems, leading to frustration and skepticism. In this article, we will explore the importance of trust in AI interactions and delve into the concept of [transparent conversational interfaces](https://dasha.ai/en-us/blog/conversational-design). We will also discuss the principles of designing trustworthy bots and address the challenges that come with building trust. Lastly, we will explore how to measure the success of trustworthy bots through key performance indicators and user feedback.
Understanding the Importance of Trust in AI Interactions
Defining Trust in the Context of AI
The Role of Trust in User Experience
The Concept of Transparent Conversational Interfaces
What is a Transparent Conversational Interface?
The Need for Transparency in AI Conversations
Transparency and Clarity in Design
Consistency in Bot Behavior
Personalization and User Control
Overcoming Challenges in Building Trust with Bots
Addressing User Skepticism
Dealing with Privacy Concerns
Measuring the Success of Trustworthy Bots
Key Performance Indicators for Trust
User Feedback and its Role in Trust Building
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