Artificial intelligence posits itself as the technology of the future. From responding to simple prompts to carrying out creative tasks like creating symphonies like a pro, AI has attained quite a bit of expertise across the fields. The precise and seamless way in which AI has adapted itself across all fields has made it difficult to distinguish between real and fabricated. AI is leveling up the game each day and trying its best to be the perfect mimic of man and his intelligence. But can these mimics always be safe? Well, the rise of deepfakes and synthetic voices is a significant challenge for society in trustworthy AI – let’s find out.

Trustworthy AI Amidst the Rising Malicious Synthetic Voices

How synthetic voices help and harm trustworthy AI

Synthetic Voices technology is used in text-to-speech-based devices where the human voice is mimicked to replicate the tone and inflection of the voice. These synthetic voice notes have their utility in customer service. The computer assistants work around the clock but retain a surprisingly human tone, making the customer feel heard and appreciated at any time.

But this innovation comes with a dark side. The same technology creating connections and fueling growth has also been used by scammers. Voice-based scams, ranging from synthetic voice clones breaking passwords, have already conned millions.

So, on the one hand, synthetic voice creates connections and expands business opportunities, yet on the other hand, it poses a lurking threat of scams.

Trustworthy AI Amidst the Proliferation of Deceitful Deepfake Videos 

Deepfakes are doctored videos. Creators alter minute details in initial videos to make them take a different tone and meaning. Sometimes, they alter the lip motion, eye expression, or hand-eye coordination to alter the original video context.

The original intent of such modifications was to create content for entertainment purposes. However, with time, the entertainment gave way to malicious intent. Today, deepfakes further malicious political narratives. For instance, manipulators can use deepfakes to modify a main opposition leader speaking on a serious issue. In the present era, deepfakes defame, spread fake news, and create havoc in both politics and society.

Further, troll accounts have also used deepfakes for targeted harassment. So, deepfakes are a problem and must be countered. But how to counter them? There are primarily two ways. The first is to counter AI through technology. The second is to strengthen the legal system. A system that harshly punishes violation of privacy, defamation, and spreading misinformation via deepfakes.

Countering AI Frauds With AI to Foster Trustworthy AI

AI in itself is a potent tool to counter deepfakes and synthetic voice notes that have malicious intent. AI detects minor changes and keeps track of inconsistencies. So, a video where a character blinks way too often or has a synchronization problem between the upper and the lower lip is a problem. Again, sudden changes in the balance of light and darkness all imply doctored images.

Tools To Detect Deepfakes

The Deepfake Detection Tools

The deepfake detection tools, like the Microsoft Video Authenticator, take note of the blurring, inconsistencies in skin texture, and mismatches in light and shadows often found in doctored videos. The tool from Microsoft analyzes the images for these inconsistencies and gives out a confidence score. 

Deep Learning-Based Detectors

These detectors are trained well to study the face boundaries to understand gradient transitions so that common signs of doctored images, like splicing, are caught. 

Sensity AI

It allows enterprise-grade detection of doctored videos. Sensity AI keeps track of videos in real-time. So, any doctored video that could lead to social or political turmoil on social media can be quickly dealt with using Sensity AI. 

Tools To Detect Fake Voice Notes

Fake voice detection 

Fake voice detection tools like ‘Resemble Detect’ identify synthetic voices and detect AI-generated voice clones. This application checks the consistency of the pitch, its frequency, etc. Natural voice notes have a lot of background noise, whereas doctored voice notes do not, so apps detect the ratio of background noise to real noise to decipher which one is real or fake. Moreover, Resemble Detect makes use of audio watermarking. Traceable acoustic fingerprints, often seen in repeated patterns when someone clones an audio clip, assist one in analysing audio watermarking.

Model Classification

The tool uses a classifier trained on thousands of real and fake voice samples across different languages, genders, and accents. Now, based on its entraining, this app gives a confidence score to show whether or not the audio clip sounds real or fake.

Legal Measures To Boost Trustworthy AI and Overcome Deepfakes and Fake Audio Clips

Authorities can use legal measures, along with technological aids, to counter deepfakes and fake audio clips. Some such measures include 

Platform Moderation for AI content

Every platform on social media or that has a large public interface needs moderation. Strict moderation will ensure that synthetic voice uploads on social/audio platforms are stopped or largely curbed.

Legal Measures to Strengthening Trustworthy AI

There should be well-defined laws with strict punishment for any person who creates or propagates deepfakes and doctored audio. 

Public Awareness And Content Verification

Fake edited videos will continue to cause havoc as long as until one brings to the attention of the public their menace and prevalence. Hence, one needs to make public awareness campaigns and content authentication a habit at each step of clip transmission.

Final Words

In conclusion, it is clear that as artificial intelligence continues to evolve, so too do its risks. Synthetic voices and deepfakes are exciting as long as one restricts them to entertainment, business, and automation. However, the moment someone employs them to spread misinformation or harm reputations, they create a significant concern. Such videos can also present serious threats to privacy, trust, and security.

With the improved preciseness with which these videos are doctored, the thin line between real and fake is increasingly blurred, making it essential to pair AI development with robust detection tools, legal frameworks, and public education. People and policymakers need to work together in leveraging AI to fight AI-based fraud and fostering responsible use through policy and awareness.