Recently at Cyber News Centre we reported that the recent advent of Artificial Intelligence (A.I.) has caused a concerning improvement in deep fake technology, but has also spurred global universities and research entities to better understand and protect against it.
One such organisation, Edsmart, recently published a compilation of studies that has revealed some alarming revelations about deep fakes:
Key Deepfake Statistics:
- Globally, 71% of respondents say that they do not know what a deepfake is. Just under a third of global consumers say they are aware of deepfakes (iProov)
- Only 43% believe they wouldn’t be able to tell the difference between a real video and deepfake (iProov)
- 46% say it’s hard for them to recognize altered content (Pew)
- Over 95% of all deepfake videos are created using DeepFaceLab. (Gemini Advisory)
- 77% of Americans say steps should be taken to restrict altered videos and images that are intended to mislead (Pew)
- In North America, the proportion of deepfakes more than doubled from 2022 to Q1 2023. This proportion jumped from 0.2% to 2.6% in the U.S. (Business Wire)
- Deepfakes are becoming more common in financial scams, with a 300% increase in deepfake-based fraud attempts reported in 2020. (Source: Digital Guardian)
- 53% of Americans believe journalists have the greatest responsibility to reduce made-up news (Pew)
Read their full compilation here.
Other News on Deep Fakes
Whilst companies, including OpenAI, Alphabet, and Meta Platforms, have pledged to implement measures like watermarking AI-generated content in a bid to the technology safer following an announcement by Biden, much more may be needed to raise the number of people able to recognise deepfakes above 43%. Sam Altmans Worldcoin may be a solution to this issue, but reliance on such a technology may bring with it serious privacy concerns of its own.
Dr. Xin Yu from UTS School of Computer Sciences and the Australian Artificial Intelligence however remains hopeful that A.I. innovations can help recognise and defend against deepfakes in a new report titled "AI to Curb the Chaos of Deep Fakes".
“Our research will develop deepfake detection models that address constantly evolving deepfake techniques effectively and efficiently, assisting humans to discover and understand these counterfeits.”
“Even if these inconsistencies appear for only one second, we can trace them,” Dr Yu says.
