Deepfakes are synthetic media that use artificial intelligence and machine learning to manipulate video and audio to create convincing fake content. While this technology has the potential to be used for harmless entertainment purposes, it also poses significant dangers.
One of the most concerning risks of deepfakes is the potential for malicious actors to use them to spread disinformation and propaganda. For example, a deepfake of a political figure could be created to make it appear as though they said or did something damaging, even if it never actually occurred. This could have serious implications for elections, public trust, and national security. In fact, deepfakes have already been used for political manipulation in several countries, including the United States, Brazil, and India. In 2018, a deepfake video of former US President Barack Obama was created to spread a message of disinformation, and in 2019, a deepfake video of Brazilian President Jair Bolsonaro was created to mislead viewers about his stance on indigenous people.
Another potential danger of deepfakes is their impact on the legal system. As deepfakes become more advanced, it may become increasingly difficult to distinguish between real and fake evidence in court cases. This could lead to wrongful convictions or acquittals and undermine the integrity of the justice system. In fact, deepfakes have already been used in several court cases, including a case in Belgium where a deepfake video was used to try and frame a politician for making racist comments.
Furthermore, deepfakes can be used for cybercrime, such as in the case of voice deepfakes that can be used to bypass voice authentication systems or to commit fraud. They can also be used to harass and bully individuals, by creating fake videos or images that harm their reputation or privacy.
Despite these dangers, there are also potential benefits to deepfakes. For example, they could be used in industries such as gaming and virtual reality to create more convincing and immersive experiences. Additionally, deepfakes could improve accessibility and reach for international audiences by creating high-quality dubbing and localization for films and TV shows.
To address the risks and dangers of deepfakes, researchers, policymakers, and the public must work together to develop strategies for detecting and mitigating the negative impacts of this technology. This includes the development of more advanced detection methods and policies to prevent the malicious use of deepfakes.
1.)who should have acess to this type of technology
2.)should there be laws of deepfake technology
3.)would IA be more dangerous if it could replicate the acions of people and voices better
Works Cited
- https://www.cnbc.com/video/2019/09/29/deepfake-threats-and-how-facebook-twitter-and-google-try-to-stop-them.html
- https://www.google.com/search?q=deep+fakes&rlz=1C1GCEV_enUS1049US1050&oq=deep+fakes+&aqs=chrome..69i57j0i512l7j0i10i512j0i512.4648j1j7&sourceid=chrome&ie=UTF-8#fpstate=ive&vld=cid:50a3ddfb,vid:gLoI9hAX9dw
- https://www.forbes.com/sites/robtoews/2020/05/25/deepfakes-are-going-to-wreak-havoc-on-society-we-are-not-prepared/?sh=3ddf16a37494
Replies
Well done Bartolo! I would like to see more of your thoughts within your summary. And you didn't give students much opportunity to make comments.
I think artificial intelligence like this can be very dangerous if in the wrong hands. It is fascinating that technology can replicate people's faces, body movements, and voices, but in the grand scheme of things, this technology going to do more harm than good.
I do agree with you, A great example of this is a new picture that came out a few weeks ago about the pope with a puffer coat that whent viral and people thought it was real.