The advancing maturity of artificial intelligence (AI) brings about significant consequences, sparking endless debates on whether these are positive, negative, or fall somewhere in between. But in the context of deep fakes, concerns about the consequences are particularly understandable, particularly when it comes to elections, politics and other important influencing events and opportunities around the world, where deepfakes have the ability to potentially influence people in a particular way.
Deepfakes use AI to fabricate fake videos, audio, and images, training on authentic material to learn speech patterns and facial animation to generate synthetic impersonations. This allows the creation of media depicting events that never actually occurred, sparking concern for the spread of misinformation and potentially dangerous content.
Are Deep Fakes Illegal?
In the UK, the Online Safety Bill, designed to regulate social media content, particularly for children, has struggled to make laws that keep pace with the rapid advancements in AI technology.
An article from The Guardian in June of last year highlighted detailed how sharing deep fake intimate images would be criminalised in England and Wales. This step is part of an ongoing process to make sharing pornographic deep fakes illegal in the UK, with initial action taken in 2022.
However, beyond the illegality of pornographic deep fakes, the broader use of deep fake technology remains legal, making the potential issues posed by deep fakes a persistent issue.
This underscores the critical importance of developing effective methods to detect and counteract deep fakes.
Is There Software To Detect Deep Fakes?
As the AI technology driving deep fakes continues to progress, there is a silver lining in the form of software tools that have been designed to detect deep fake images, providing a crucial line of defence against the potential misuse of AI technology.
Explore the list below to unveil some of the most effective tools available, each contributing to the ongoing efforts in combating the challenges posed by deepfake content.
Top 10 Deep Fake Detection Tools
1. Deepware Scanner
Deepware Scanner provides a user-friendly and easily accessible solution for detecting deep fakes. The platform features a dedicated deep fake scanner, where users can input links to identify potential deep fake videos or assess specific aspects of visual and audio communication.
Upon submitting a “scan” request to the Deepware API, your request joins a processing queue. The uploaded video then undergoes a comprehensive scan using the Deepware AI model to assess its authenticity and identify any signs of manipulation or synthetic content.
Sentinel’s advanced deep fake tool serves as a vital resource for democratic governments, defence agencies, and enterprises, offering unparalleled protection through a cutting-edge AI-based platform. This innovative solution not only saves users time but also eliminates uncertainty by automatically discerning whether digital media is AI-generated.
The straightforward process involves uploading digital media through the website, allowing the Sentinel system to conduct a thorough analysis for AI forgery. It then determines the authenticity of the content, providing users with a visual representation of any manipulation that may be present.
Recognised in esteemed publications like the BBC, Sentinel stands as one of the most reliable and globally acclaimed deep fake detection tools, working to build a more democratic world by enhancing decision-making processes and safeguarding the interests of citizens.
3. Reality Defender
Developed by the world’s leading AI research teams, Reality Defender understands the threat of deep fakes, positioning itself as a first line of defence for enterprises, platforms, and governments alike against the most sophisticated cybercrimes.
Simply scan media with the platform to verify everything from voiceprints to doctored documents with Reality Defender’s enterprise-grade detection platform. Additionally, users can get instant deepfake alerts via email, PDF report cards, and CSVs to help you and your team take action.
FakeCatcher is the latest product of Intel’s Responsible AI work, a technology that can detect fake videos with a 96% accuracy rate to address a problem which is costing cybersecurity solutions $188 billion globally, according to Gartner.
This first real-time deepfake detector can return results in milliseconds by using a technique called Photoplethysmography (PPG), which detects changes in blood flow and eye movement.
Developed within the WeVerify project, this deep fake detection tool can process various media items, including images and videos, and return users with the probability that it contains AI-manipulated content.
Simply input the URL of media you suspect of deep fake imagery, and WeVerify will return an analysis of the media items and a deep fake probability score.
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6. Microsoft’s Video Authenticator Tool
Renowned for its array of tools, Microsoft has unveiled a new addition to its arsenal: a deep fake detection tool. Aligned with Microsoft’s Defending Democracy Program, which aims to combat the perilous spread of misinformation, the tech giant is now actively defending against the threat of deep fakes.
Video Authenticator can analyse a still photo or video and provide a percentage likelihood of AI manipulation. In the case of videos, this percentage is delivered in real time for each frame as the video unfolds.
The tool operates by discerning the blending boundary of the deepfake and subtle fading or greyscale elements that may elude the human eye. Positioned as a safeguard against misinformation, it is already set to play a pivotal role in Project Origin, a recent initiative announced by the BBC.
Hive’s Deepfake Detection tool excels in identifying whether or not an image or video query is an AI deep fake. It does this by employing a sophisticated classification process on individual faces and, through this method, it assesses whether the content is an AI-generated deep fake and subsequently provides a confidence score.
Designed to support most image and video formats, Hive’s tool meticulously dissects the content into frames. The detection model is then applied to each frame, undergoing comprehensive classification steps to pinpoint the presence of deep fakes with a high level of accuracy.
8. Resemble Detect
Resemble Detect offers an advanced neural model tool so that users can secure their digital ecosystem. The tool can identify deep fake audience detection in real time.
With a simple drag and drop, users can view a comprehensive dashboard to monitor any detected AI deep fake activity.
Resemble Detect can handle large volumes of data with speed and efficiency, allowing it to work even under the most demanding loads with easy accessibility, identifying deep fakes in formats such as WAV and MP3 so you can listen to music, podcasts and voice notes with new peace of mind.
DuckDuckGoose offers a quick and efficient solution to safeguard your organisation from AI-deep fake content, so you can trust what you see online.
DuckDuckGoose’s advanced algorithms analyse content for signs of manipulation and offer detailed explanations on any detected deep fake content so you can take immediate action, helping you and your company stay ahead of AI threats, avoid costly legal battles and negative PR, and protect customer trust and brand integrity.
Illuminarty offers various functionalities that not only help users understand the generation of images through AI, but check whether or not an image has been AI-generated, from which AI model it has been generated, and which regions of the image have been generated.
With the Illuminarty deep fake detection tool, find out the probability of AI generation. The platform combines advanced computer vision algorithms to provide the likelihood of the image being generated from one of the public AI generation models, providing a comprehensive breakdown of the detection result.
How Do I Know If A Video Is Generated By AI?
If you’re concerned about falling victim to a deep fake video, there are several key indicators to be vigilant about.
Accurately recreating eye movements can be challenging. So, look out for unnatural eye movements such as no blinking. Additionally, pay attention to signs of poor lip synchronisation and peculiar or robotic pronunciation of words, especially if the individual displays jerky or disjointed movements.
While it is possible to develop a discerning eye for accurate deep fake detection, with the continuous advancement of AI technology, this task is poised to become increasingly challenging.
Ultimately, investing in a dedicated deep fake detection tool is a good investment for peace of mind, providing reassurance and peace of mind against the potential risks posed by synthetic deep fake media.