‘Cheap Fake’ Videos Getting Nabbed Via Generative AI
What challenges arise from AI features in non-AI editing tools?
Cheap fakes are a growing concern in the world of disinformation and misinformation. They are similar to deepfakes, but instead of using AI to create fake content, they are created by human hands using non-AI low-tech editing capabilities. The problem with cheap fakes is that they are often used to spread false information and can be difficult to detect.
AI can be used to detect cheap fakes, but it is not a silver bullet. There are many challenges in detecting cheap fakes, such as false positives and false negatives. Additionally, the use of AI in editing software is making it easier to create cheap fakes, which means that the problem is only going to get worse.
It is important to keep our wits about us and not let the emergence of AI-based tools that claim to be "surefire cheap fake" detectors do a snow job on society. While AI can be helpful in detecting cheap fakes, it is important to remember that it is not a perfect solution and that we need to be vigilant in our efforts to combat disinformation and misinformation.
How might the definition of cheap fakes change over time?
Cheap fakes are a type of misinformation that involves manipulating media to make something look real when it isn't. They are created using simpler methods than deepfakes, which use sophisticated artificial intelligence (AI) tools. Cheap fakes can be made with basic software or even without any software at all, making them more accessible and easier to create.
There are four main types of cheap fakes:
- Misleading text, headlines, and captions: This involves attaching misleading text to a media clip to manipulate the truth. Even if the media clips are authentic, the use of fabricated text can create a misleading or false narrative.
- Audio and video manipulation: This involves editing audio or video clips to create a false narrative. For example, slowing down a video or altering the pitch of an audio clip can change the meaning of the content.
- Selective cropping: This involves cropping an image or video to focus on a specific aspect or remove important context. This can lead to misinterpretation or misrepresentation of the content.
- Edited images: This involves digitally altering an image to create a false narrative. For example, adding or removing elements from an image can change the meaning of the content.
Cheap fakes can be dangerous as they can spread misinformation and influence public opinion. It is important to be aware of these tactics and verify the authenticity of media content before sharing it.
How do cheap fakes differ from deepfakes technically?
Cheap fakes are videos or images that have been manipulated without the use of AI, often through traditional editing techniques. They are becoming increasingly common and can be used for both harmless fun and malicious purposes. Deepfakes, on the other hand, are created using AI and can be more difficult to detect. Both cheap fakes and deepfakes can be used to spread disinformation and misinformation, and their prevalence is growing. As AI becomes more accessible and integrated into editing software, the distinction between cheap fakes and deepfakes may become less clear. To cope with the increasing abundance of cheap fakes and deepfakes, methods for prevention and detection using generative AI are being developed.