The article also emphasizes that the deepfake problem is set to worsen due to the slow adoption and improvement of deepfake detection technology. It calls for major platforms and service providers to implement AI-detecting features and warns against complacency in dealing with this issue. The article concludes by stating that while there is some hope that technology and regulators are catching up to address the problem, experts agree that the situation with deepfakes will likely worsen before it improves.
Key takeaways:
- The world is grappling with the issue of AI-generated deepfakes, and current attempts to stop them, such as outlawing deepfake robocalls and releasing watermarks to label images as AI-generated, are not effective.
- Deepfake detection technologies need to be adopted at all stages - source, transmission point, and destination - to effectively combat the issue.
- Deepfake detection technology is still new and not as advanced as generative AI, and needs to improve and become more widespread to effectively catch and prevent deepfakes.
- Experts agree that the problem of deepfakes is likely to get worse before it gets better, and there is a need for technology and regulators to catch up to address this issue.