Fast forward to the early 1990s, researchers at academic institutions developed Deepfake technology, which was later fine-tuned by developers in online communities. Recently, Deepfakes have gained widespread attention due to their involvement in activities such as financial fraud, hoaxes, and the creati...
In the age of more sophisticated technology, deepfake content is permeating all over the internet. With that in mind, it’s more prevalent that we take everything we see on the web with a grain of salt. To put it into perspective, think of Photoshop or other photo manipulation software t...
Cons:These systems are still experimental and not widely used. And a determined attacker can still tamper with them. Companies are also not applying the technology to all images across the board. Users of Google’s Imagen AI image generator can choose whether they want their AI-generated ...
Misinformation: Deepfakes can be used to unfold fake statistics, fake news, and deceptive content material, undermining agreement within media and authority figures. Privacy Violation: The technology raises issues about privacy violations, as each person's likeness may be manipulated without their consen...
Technology required to develop deepfakes The development of deepfakes is becoming easier, more accurate and more prevalent as the following technologies are developed and enhanced: GAN neural network technology uses generator and discriminator algorithms to develop all deepfake content. Convolutional neural...
pros and cons, as well as the potential pitfalls and drawbacks of each types of the solutions. Notwithstanding this progress, there are a number of critical problems that are yet to be resolved for existing DeepFake detection methods. We will also highlight a few of these challenges and ...
Deepfake technology is a type of artificial intelligence used to create convincing fake images, videos and audio recordings. The term describes both the technology and the resulting bogus content and is a portmanteau of deep learning and fake....
For these and other similar reasons, scholars and civil rights activists are considering the pros and cons of different labels to refer to these phenomena (see Maddocks, 2018). The term 'non-consensual pornography' gained some traction, especially in the US. But it has also met some ...
Conclusions: Nursing students see both pros and cons in DeepFake technology and are aware of the ethical dilemmas it poses. They also identified promising healthcare applications that could enhance nurses' leadership in digital health, stressing the importance of regulation and education to fully ...