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AI Explainability, Trust, and Calibration / Misinformation, Content Labeling, and Authenticity Trust

Users cannot accurately understand AI content labels, affecting trust in content and creators.

lightbulbPractical problemMisinformation, Content Labeling, and Authenticity Trust

Users cannot accurately understand AI content labels, affecting trust in content and creators.

CHI '24The Effects of Perceived AI Use On Content Perceptions

Similar questions

lightbulbPractical problemMisinformation, Content Labeling, and Authenticity Trust

Non-expert users struggle to understand and trust complex AI systems' decision rationales.

IUI '25Conversational Explanations: Discussing Explainable AI with Non-AI Experts

lightbulbPractical problemMisinformation, Content Labeling, and Authenticity Trust

When interacting with AI-generated characters, users often make wrong decisions due to hallucinated answers, and trust is damaged.

IUI '25"You Always Get an Answer": Analyzing Users' Interaction with AI-Generated Personas Given Unanswerable Questions and Risk of Hallucination

lightbulbPractical problemMisinformation, Content Labeling, and Authenticity Trust

Users frequently encounter misinformation on social platforms, affecting decisions and trust.

CHI '25Behavior Change Interventions Combating Online Misinformation: A Scoping Review

lightbulbPractical problemMisinformation, Content Labeling, and Authenticity Trust

The public struggles to distinguish highly realistic AI-generated fake images, potentially worsening information credibility crises.

CHI '25Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images

lightbulbPractical problemMisinformation, Content Labeling, and Authenticity Trust

95.9% of websites have accessibility errors, affecting fair internet access for people with disabilities.

CHI '25Deceptive Explanations by Large Language Models Lead People to Change their Beliefs About Misinformation More Often than Honest Explanations

lightbulbPractical problemMisinformation, Content Labeling, and Authenticity Trust

Misinformation proliferates on social media, and users struggle to judge its credibility.

CHI '25Understanding the Effects of AI-based Credibility Indicators When People Are Influenced By Both Peers and Experts

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Conversational Explanations: Discussing Explainable AI with Non-AI Experts

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"You Always Get an Answer": Analyzing Users' Interaction with AI-Generated Personas Given Unanswerable Questions and Risk of Hallucination

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Behavior Change Interventions Combating Online Misinformation: A Scoping Review

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Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images

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Deceptive Explanations by Large Language Models Lead People to Change their Beliefs About Misinformation More Often than Honest Explanations

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Understanding the Effects of AI-based Credibility Indicators When People Are Influenced By Both Peers and Experts

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