Anyone who spends time online these days will either interact directly with deepfakes or come across discussions about them – as they are fast becoming an urgent matter for people to understand and lawmakers to control.
While photo-editing and video-editing software has been around for many years now, advancements in AI (artificial intelligence) technology can manipulate face-swap images to make them look more real than ever using machine learning.
Named for the ‘deep learning’ technologies and ‘fake’ images they produce, deepfakes can be photos, videos, or audio recordings that reproduce someone’s visual and/or verbal likeness, manipulating it to appear as though they are saying or doing something that never really happened.
As the technology improves and the digital alterations become less obvious to the untrained eye, it’s important for people to understand the problems these synthetic images can cause and the potential legal consequences.
Why are deepfakes bad?
While deepfake technology isn’t all bad, as it can be used for entertainment or educational purposes, it can also be implemented maliciously to spread misinformation or to use someone’s image in certain ways without their consent.
With deepfake content often going viral online, the damage is usually done before the content can be identified as fake and taken down, which can mislead millions of people and damage the reputations of those whose images are digitally altered.
Misinformation about politicians or celebrities, or misrepresentations of their image, can be harmful to the individuals on a personal level and to society on a wider level, as believable deepfakes can cause extreme controversies.
Not only can deepfakes be used to create ‘fake news’ or ‘cyberbully’ individuals online, but one of the largest concerns about t ..
Support the originator by clicking the read the rest link below.
