"AI, on the other hand, can learn to detect deepfakes on its own as long as you have enough data.
#Deep fakes software
On top of this, deepfake technology will constantly change and traditional software would have to be rewritten by hand every time," explains Thurairatnam.
![deep fakes deep fakes](https://securecdn.pymnts.com/wp-content/uploads/2020/01/janschakowsky-congress-deepfakes-facebook-sociamedia.jpg)
"If we try a traditional software based approach, it would be very difficult to figure out the rules to write in order to catch deepfakes. The company is currently working on developing AI for detecting audio deepfakes. Thurairatnam is the co-founder and Chief of Machine Learning for Dessa, a start-up which has built a tool to fake Joe Rogan's voice to demonstrate the capabilities of audio deepfakes. "Audio and visual deepfakes that are done well are hard to catch even for humans," says Ragavan Thurairatnam. As the technology for creating deepfakes becomes ever more effective, and ever more easily accessible to bad actors, creating equally powerful tech for deepfake detection and analysis will become a crucial battleground for the truth. The whole point of deepfakes is that they are convincing enough to fool a human audience. Even though California's 'Anti-Deepfake Bill' has multiple flaws, one of these raises an important question: who is responsible for proving that audio or video has been manipulated? Some researchers around the world are working on building the tools to help do just that, by fighting AI with AI. The other possibility, that the cry of "deepfake!" might be used to wrongly dismiss real footage as fake, is equally worrying. Including faked criminal evidence, fraud or blackmail. This doesn't mean there aren't other potential deepfake uses. The majority of deepfakes are being created in pornography, without the consent of the people in the videos. However, political interference through deepfakes hasn't happened yet.
![deep fakes deep fakes](https://s.abcnews.com/images/Technology/200817_dt_deepfakes_hpMain_16x9_992.jpg)
Lawmakers in California are so concerned about the risks of deepfakes in the lead-up to the 2020 elections that they passed a law in October 2019 banning the distribution of "materially deceptive audio or visual media" within 60 days of an election. She said deepfakes are potentially the next generation of disinformation. “The concern is that there will be a growing movement globally to undermine the quality of the information sphere and undermine the quality of discourse necessary in a democracy,” Eileen Donahoe, a member of the Transatlantic Commission on Election Integrity, told CNBC in December 2018.