Deepfake technology is a type of artificial intelligence that can be used to create realistic videos and audios of people saying or doing things that they never actually said or did. Deepfakes are created by training a machine learning algorithm on a large dataset of images and videos of a person. Once the algorithm is trained, it can be used to generate new images and videos of that person that are indistinguishable from the real thing.
Deepfake technology has the potential to be used for a variety of purposes, both good and bad. For example, deepfakes can be used to create educational videos, to create special effects in movies and TV shows, and to protect the privacy of whistleblowers and other people who need to keep their identity hidden.
However, deepfakes can also be used for malicious purposes, such as spreading misinformation, creating fake news stories, and extorting people. For example, a deepfake video could be used to make it look like a politician said something that they never actually said. Or, a deepfake audio could be used to blackmail someone by making it sound like they said something incriminating.
As deepfake technology continues to develop, it is important to be aware of its potential impact on society. We need to be able to identify deepfakes and to be critical of the information that we see and hear online.
Relevant link and sources:
What are deepfakes, and what do they mean for the future?: https://www.bbc.co.uk/bitesize/articles/zkrmmfr
How deepfakes are changing the way we see the world: https://mitsloan.mit.edu/ideas-made-to-matter/deepfakes-explained
The dangers of deepfakes: How to spot them and protect yourself: https://www.theguardian.com/technology/2019/jun/23/what-do-we-do-about-deepfake-video-ai-facebook
Deepfakes: A new frontier in cybersecurity: https://mitsloan.mit.edu/ideas-made-to-matter/deepfakes-explained