If a video looks real and a voice sounds familiar, how much should we trust it? What happens when “I saw it with my own eyes” is no longer convincing evidence? Join us for an interactive discussion about deepfakes, AI-generated media and the changing relationship between seeing and believing. Through real data and case studies, we’ll explore how convincing fabrications can shape reputations, influence opinions and exploit our trust... and why understanding them is becoming an essential skill as the technology improves.

Together, we’ll examine examples from the internet and put our judgment to the test: real, manipulated or entirely generated? We’ll compare guesses, question what made us confident, and discuss why visual clues alone may not be enough. How can we check a source, look for supporting evidence and stay curious without becoming suspicious of everything? No technical knowledge is necessary. Expect surprising reveals, lively disagreements and useful lessons in digital literacy. This is a chance to sharpen your judgment and better understand a world where convincing images don’t always tell the truth.

如果一个视频看起来是真的，一个声音听起来很熟，我们该信多少？当“我亲眼看到的”不再是有说服力的证据，会发生什么？跟着我们来聊一场互动讨论吧，聊深度伪造、AI 生成的媒体，还有“看见”和“相信”之间正在变化的关系。通过真实数据和案例，我们会看看那些特别能骗人的伪造内容是怎么影响名声、带偏观点、利用我们的信任的……以及为什么随着技术越来越强，看懂这些东西正在变成一项必备技能。

我们会一起看一些网上的例子，也把自己的判断拿出来测一测：是真的、被改过，还是完全生成的？我们会比较各自的猜测，质疑是什么让我们那么有把握，也会讨论为什么光靠视觉线索可能不够。怎么查一个来源、怎么找佐证，又怎么保持好奇但不至于对什么都疑神疑鬼？不需要任何技术知识。会有让人意外的揭晓、热闹的意见不合，还有一些关于数字素养的实用课。这是一个机会，让你练练自己的判断力，也更好地理解这个“看起来很像真的图片不一定说真话”的世界。