Trust and Credibility in an AI‑influenced World

Overview:

This theory-only webinar explores how AI reshapes trust and credibility in the digital world. You will examine how people judge the reliability of AI-generated content, why traditional trust cues are breaking down, and what new frameworks are needed to evaluate information in an AI-saturated environment. Designed for students, the session blends insights from communication, media studies, and ethics to build a critical mindset for the AI era

Why you should Attend:

In an AI-driven world, anyone can create convincing content at scale, and the line between real and synthetic is blurring. If you don’t understand how trust and credibility work now, you risk believing false information, spreading misinformation, and losing your own voice in a sea of AI-generated content. This session gives you the conceptual tools to question, verify, and navigate information wisely.

Areas Covered in the Session:

• What are trust and credibility in digital communication? 
• How AI changes the way we produce and consume information
• Types of AI-generated content: text, images, audio, and video
• Why traditional credibility cues (source, style, platform) are weakening
• Deepfakes, synthetic media, and their impact on perceived reality
• How people judge AI content: heuristics, biases, and emotions
• Source credibility vs. content credibility in the AI era
• Transparency, disclosure, and labeling of AI-generated content. 
• Explainability and interpretability as trust-building strategies
• Algorithmic bias and its effect on trust in AI systems
• Institutional trust: governments, platforms, and AI regulation
• Digital literacy and critical evaluation skills for students
• Conclusion: Designing trust and credibility strategies for the AI era

Who Will Benefit:

• All