AI fakery, particularly in the form of deepfakes, is becoming a significant issue online. The rise of generative AI tools has led to the proliferation of deceptive images, videos, and audio, blurring the line between what is real and what is not. With easily accessible video and image generators, anyone can create deepfakes, which can be used for various malicious purposes such as scams, identity theft, propaganda, and election manipulation. In the past, it was easier to identify deepfakes due to obvious signs of manipulation, such as errors in images or unnatural blinking patterns in videos. However, as AI technology has improved, it has become more challenging to spot deepfakes. Nonetheless, there are still some indicators to watch out for, such as an electronic sheen on AI-generated photos, inconsistencies in shadows and lighting, and mismatches between facial skin tone and the rest of the head or body. Pay attention to details like the sharpness of facial edges and the synchronization of lip movements with audio. Blurriness or inconsistencies in teeth outlines could also be a clue to a deepfake. Considering the bigger picture and plausibility is also important in detecting deepfakes.
If a public figure is depicted doing something exaggerated or out of character, it could be a deepfake. Context matters, and additional verification from legitimate sources can help confirm the authenticity of an image or video. There are AI tools available that can assist in identifying deepfakes, such as Microsoft's authenticator tool and Intel's FakeCatcher. However, these tools are not always accessible to the general public to prevent misuse by bad actors. It is crucial to remember that relying solely on detection tools can create a false sense of security and diminish critical thinking skills. It is essential to note that AI technology is rapidly advancing, and deepfake quality is improving while flaws are reducing. Therefore, the effectiveness of current detection methods may change over time. Moreover, burdening ordinary individuals with the responsibility of spotting deepfakes can be risky, as it becomes increasingly difficult, even for experts, to distinguish between real and fake content. The Associated Press is supported by private foundations to provide enhanced coverage of elections and democracy.
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The publication stated that the company enhanced its “compute margin,” an internal metric representing the portion of revenue remaining after covering the costs of operating models for paying users of its corporate and consumer products.
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