7 Matching Annotations
  1. Last 7 days
    1. Administrators don’t even have to tell a victimized teacher how a student may have been disciplined.

      这是整篇里最实质的制度缺口:法律给出的义务是「营造安全环境」这种结果性表述,没有告知义务,也没有处置模板。于是受害者拿不到闭环,只能靠自己判断要不要继续上班。谈深度伪造治理时容易只盯生成端,这里提示追责失效发生在更下游——学校、平台、警方三方都没有明确的接口。

  2. Feb 2024
  3. Nov 2023
    1. Generative AI systems that allow for biometric clones can easily exploit our likeness through the creation of synthetic media that propagate deep fakes. We need biometric rights that protect our faces and voices from algorithms of exploitation.

      On the need for biometric rights to prevent activities like deep fakes

  4. Aug 2022
    1. She’s already created an avatar, War Nymph, that will substitute for her in various promotional activities during her pregnancy in ways that may have to be seen to be understood. Among many other ideas, they’re talking about making their own deepfakes — AI-rendered faux-footage of Grimes — that they’ll map onto the avatar’s body. “I like the idea of having numerous consciousnesses acting simultaneously in the future,” she says, deeply on-brand.
  5. Jan 2022
  6. Jan 2019
    1. “By definition, deepfake is a cybersecurity threat because what deepfake represents is a spoof or fake publication of a video or audio recording typically associated to a business leader or political leader, statements that the actual individual didn’t make,” explained Fox Rothschild partner Scott Vernick.
    2. Deepfakes use machine learning techniques, feeding a computer real data about images or audio, to create a believable video. In a widely publicized instance,  a video disseminated by the Trump administration of a journalist interacting with the president’s staff was found to be doctored intentionally, according to The Associated Press.