Deepfaketw (2024)

FAQs

How to solve deepfake problem? ›

Some of the possible way to control deepfake issues are drafting a strict law, technological approach and media literacy. Currently, there are many loop holes in the laws that do not address the whole issues of deepfakes. Without strict laws and legislations, it is impossible to tackle the issues raised by deepfakes.

Sensity is an AI-driven solution designed for the efficient detection of deepfake content such as face swaps, manipulated audio, and AI-generated images. The technology behind Sensity prioritizes swift and cogent identification, enhancing security and reducing the workload for analysts.

Ultimately, deepfakes are about deceit. The goal of the effort is to create fantasies that cannot be distinguished from reality. Putting words into someone else's mouth to influence an election or inserting someone into a p*rnographic movie are morally reprehensible actions.

Such solutions include having Internet platforms institute policies to ban harmful deepfake videos and creating better mechanisms for detecting, flagging, and removing such videos. Boosting AI fraud detection systems may become increasingly important as the laws in this area continue to evolve.

There is currently no federal law against disseminating such content. However, some legal professionals believe “such illicit practices may not require new legislation, as they already fall under a patchwork of existing privacy, defamation or intellectual property laws,” according to an article by Law.com.

According to a recent study, humans can detect deepfake speech only 73% of the time. This study, out of the University of London with 529 participants, was one of the first to assess humans' ability to detect artificially-generated speech in a language other than English.

To combat such abuses, technologies can be used to detect deepfakes or enable authentication of genuine media. Detection technologies aim to identify fake media without needing to compare it to the original, unaltered media. These technologies typically use a form of AI known as machine learning.

Deepfake technology itself is not considered illegal – and deepfakes are by no means all malicious – but depending on the kind of content generated, some violate laws such as data protection and specific offences of non-consensual content.

Why is deepfake bad? ›

A “deepfake” is fabricated hyper-realistic digital media, including video, image, and audio content. Not only has this technology created confusion, skepticism, and the spread of misinformation, deepfakes also pose a threat to privacy and security.

Identity Theft and Financial Fraud

Deepfake technology can be used to create new identities and steal the identities of real people. Attackers use the technology to create false documents or fake their victim's voice, which enables them to create accounts or purchase products by pretending to be that person.

In healthcare, generative AI aids in medical research and patient care. In art and history, deepfakes enable immersive experiences, bringing historical figures and events to life. Lastly, in media and entertainment, they offer personalized content and innovative marketing strategies.

Another way to repel Deepfake attempts is to use a program that inserts specially designed digital 'artifacts' into videos to conceal the patterns of pixels that face detection software uses.

Perhaps one of the most alarming components of deepfake misuse is the potential for reputational damage to people. By superimposing someone's face onto specific or compromising content, malicious actors can tarnish reputations and motive irreparable harm.

To prevent deepfakes, the solution must control the selfie process and take a series of images to determine whether the person is physically present and awake — not sleeping, not a mask, photo or video, and not a deepfake.

To combat such abuses, technologies can be used to detect deepfakes or enable authentication of genuine media. Detection technologies aim to identify fake media without needing to compare it to the original, unaltered media. These technologies typically use a form of AI known as machine learning.

THE COURT ORDER. Obtaining a court order is another way that content, like deepfakes, can be removed.