Try your luck against convincing voice ‘deepfake’ as AI shock test shows most Americans can’t spot fake ‘clone’ – The US Sun

ARTIFICIAL intelligence isn’t just about watching and listening – it can also talk to you.

A new study has revealed that most people cannot distinguish between real human speech and computer-generated speech.

Podcastle, an AI-Powered Podcast Platform, Surveyed 1,000 Americans to Gauge Audience opinion in voice cloning tools.

Surprisingly, two in three Americans could not distinguish between an AI-generated voice and a human speaker.

Despite being seen as having less technological knowledge, baby boomers identified the human voice more effectively.

Meanwhile, millennials (31%) and Gen Z (35%) had trouble correctly guessing that the clip they heard was human and not computer-generated.

The same clips used in the research were shared exclusively with The US Sun – listen for yourself and see if you can beat the odds.

The study also revealed varying levels of optimism about the future of artificial intelligence.

When it comes to AI voice technology, 26% of Americans are “cautious” while 24% are “supportive” – an extremely narrow margin.

A staggering 81% of Americans said they were “concerned” about the future implications of AI voice cloning.

And they have a right to be worried. Just this year, cybersecurity experts have witnessed an explosion in the use of AI tools by malicious actors.

This includes a rise in the number of scams using voice “deepfakes” that mimic a real person’s speech with the help of AI. technology.

“Vishing”, a portmanteau of “voice” and “phishing”, is a type of cyber attack where scammers trick people into divulging confidential information over the phone.

Thanks to affordable voice cloning technologyCybercriminals can easily pose as the victim’s friends and relatives.

All they need is audio data, which can be readily available on social media.

The rest is simple: the data is fed into an AI program that generates words or entire sentences.

These deepfakes can replicate tonality, cadence, and other unique characteristics. characteristics of a person’s voice.

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The Federal Trade Commission the alarm sounded about voice cloning attacks early last year.

“All a scammer needs is a short audio clip of your family member’s voice – which he could obtain from content posted online – and a voice cloning program,” the agency wrote.

And the risk goes beyond scams. O technology could pose a risk to national security as the next presidential election approaches.

In January, a robocall using President Joe Biden’s voice urged Democrats not to vote in the New Hampshire primary.

The man behind the conspiracy was later indicted on charges of voter suppression and impersonating a candidate.

And the threats are only expected to increase as the technology becomes more advanced.

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Microsoft has been hard at work on its own AI voice tools.

Its latest text-to-speech generator, VALL-E 2, can recreate a human voice based on just a few seconds of audio.

The tech giant says VALL-E 2 is the first of its kind to achieve “human parity,” meaning it meets or exceeds human likeness standards.

However, VALL-E 2 is so convincing that Microsoft is preventing its public release, citing “potential risks in misuse of the model”.

The company hopes that someday the technology will find a niche where it will not be exploited, such as accessibility tools.

What are the arguments against AI?

Artificial intelligence is a highly controversial issue and it seems like everyone has a position on it. Here are some common arguments against this:

Job Loss – Some industry experts argue that AI will create new niches in the job market, and as some roles are eliminated, others will appear. However, many artists and writers insist that the argument is ethical, since generative AI tools are being trained on their work and would not work otherwise.

Ethics – When AI is trained on a dataset, much of the content is taken from the internet. This is almost always, if not exclusively, done without notifying the people whose work is being performed.

Privacy – Content from personal social media accounts can be fed into language models to train them. Concerns have emerged as Meta unveils its AI assistants on platforms like Facebook and Instagram. There have been legal challenges to this issue: in 2016, legislation was created to protect personal data in the EU, and similar laws are in the works in the United States.

Misinformation – As AI tools extract information from the Internet, they may take things out of context or experience hallucinations that produce absurd responses. Tools like Copilot on Bing and Google’s generative search AI are always at risk of getting things wrong. Some critics argue this could have lethal effects – such as AI prescribing erroneous health information.

Podcastle aims to reshape the conversation around AI voice technology and find useful applications in the midst of grief and sadness.

“From AI benefits Due to its perceived drawbacks and the need for widespread education, we at Podcastle want to advocate for the safe use of AI voice technology now and in the future. future“, said the company.