How we see AI to how AI sees us: Toward understanding, trust, and engagement

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  • Date
    3 December 2025
    Timeframe
    17:00 - 18:00 CET Geneva
    Duration
    60 minutes

      To truly use AI for good, it is essential to understand not only how humans perceive AI, but also how AI perceives humans. The session unfolds in three steps. It begins with a familiar question: can humans really distinguish machine-generated text from human writing? In multilingual settings with native speakers, is “human-like” language always preferred and perceived as more trustworthy, or do people sometimes prefer AI-generated text? Understanding how humans perceive AI is the first step toward building trust.

      Next, the session turns that understanding inward, recognizing AI’s potential risks and biases in areas such as resource allocation and speech. By evaluating these harms with greater social awareness, trust can be deepened through transparency. Finally, the speaker presents work on AI for dream interpretation across cultures. Since dreams are often regarded as reflections of hidden consciousness, this part explores how models interpret the people, events, emotions, and imagination found in human dreams.

      Together, the session takes participants on a journey from understanding, to trust, to engagement.

       

      Session Objectives:

      By the end of the session, participants will be able to:

      • Understand how humans perceive large language model outputs across languages and contexts.
      • Evaluate the biases and social risks embedded in AI models.
      • Apply AI models to aspects of daily life, such as cross-cultural dream interpretation.
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