- 17-09-2024
‘Deepfake’ technology is all about faking content, and is becoming more sophisticated and accessible to malicious actors. Generally, these are created using a deep learning model called GAN (generative adversarial network), which are trained on both the source data and the fake data (target set). These are combined to create a deepfake that cannot be distinguished from the real image.
As AI technology becomes easier to use, this risk/problem is getting worse.
Key risks include
- damaging peoples reputations
- blackmail and extortion
- spread of misinformation
- national security
On the flip side, deepfakes are useful for creating realistic special effects for TV/Movies.
How do we mitigate these risks?
- Check the authenticity of all information
- Be critical of anything you read or see online
- Use tools or resources to detect deepfakes
