According to a survey conducted in March 2025, ** percent of adult female respondents in the United States expressed concerns about the spread of artificial intelligence (AI) video and audio deepfakes. Similarly, nearly ** percent of men shared this concern. In contrast, only *** percent of adult women and *** percent of adult men in the U.S. reported that they were not concerned at all.

In 2023, the police in South Korea recorded *** individual cases of illegally created deepfake sexual content on the internet. The number of such reports has increased slightly over the last three years. Recently, the issue of illegally created deepfakes has gotten more attention in South Korea as a set of Telegram rooms distributing AI deepfake pornography has been discovered.

Artificial intelligence-generated deepfakes are videos or photos that can be used to depict someone speaking or doing something that they did not actually say or do. Deepfakes are being used more frequently in cybercrime. A 2022 survey found that 57 percent of global consumers claimed they could detect a deepfake video, whilst 43 percent said they would not be able to tell the difference between a deepfake video and a real video.

Deepfake Detection Market is estimated to reach USD 5,609.3 Million By 2034, Riding on a Strong 47.6% CAGR throughout the forecast period.

The deepfake AI market size was valued at USD 794.55 million in 2024 and is estimated to grow at a CAGR of 41.5% from 2025–2034.

A survey held on AI and journalism in August 2023 in the United States found that adults were mostly united on their attitude to using AI to create deepfakes in journalism, with the majority saying that this would not be morally acceptable. Democrats were less likely to feel this way than other voters, with ** percent saying they did not think this would be acceptable behavior, compared to close to ** percent of Republicans.

A 2023 survey found that approximately ** percent of respondents in Indonesia reported having heard of deepfakes. Meanwhile, around ** percent of respondents were unaware of the technology. Deepfakes are realistic yet deceptive images, audio, or videos generated using artificial intelligence technology.

The Fake Image Machine Learning and Deep Learning Detection market has emerged as a critical frontier in safeguarding the integrity of digital content. As the rise of deepfake technology and manipulated images proliferates across social media platforms and news outlets, industries including media, security, and adve

A May 2024 survey of IT and cybersecurity professionals worldwide found that nearly *********** U.S. companies organize regular training and awareness sessions as the most commmon way to prevent deepfakes. Second-most common way to do so was ************************************.

According to a survey conducted in January 2025 in the United States, the most common privacy action individuals took in the past year was avoiding clicking on suspicious links or e-mails, performed by ********** of the respondents. The second-most performed action was monitoring financial accounts at least once every few months, with ********** of respondents stating so.

According to a survey conducted in January 2025 in the United States, ********** of Gen Z respondents lost money as a result of financial scams or fraud. Millennials ranked second, with ********** claiming to have lost money.

In 2024, Poles learned false information generated by artificial intelligence most often through facial features and, above all, movement inconsistent with spoken words.

According to a survey conducted in January 2025 in the United States, around ********** of respondents said they did not experience any financial fraud or scams in the past year. Furthermore, ********** of respondents said that someone attempted accessing their personal and financial information but was not successful.

A 2024 survey of adults across the world found that about three in four consumers worried about the potential influence of AI and deepfakes on upcoming elections. Among the selected countries, Singapore and Mexico ranked first, with ** percent of the consumers expressing their concerns regarding this, followed by the United States, where around ** percent of respondents said they were worried about it.

A May 2024 survey of IT and cybersecurity professionals worldwide found that around ** percent of organizations in the United States were targeted by AI-assisted deepfakes in the past ** months, compared to the global average of ** percent.

A 2023 survey found that approximately ** percent of respondents in Indonesia were very concerned about the use of deepfakes to deceive or mislead other people. Deepfakes are realistic yet deceptive images, audio, or videos generated using artificial intelligence technology.

According to a survey conducted in March 2025, *** in ** adults in the United States said they were concerned about the spread of misleading artificial intelligence (AI) video and audio deep fakes. In contrast, only *** percent of U.S. citizens reported not being concerned at all about the AI-generated deep fakes.

According to a 2024 survey among global business and cyber leaders, nearly half of respondents highlighted the advance of adversarial capabilities, such as phishing, malware development, and deepfakes, as their greatest concern regarding the impact of generative artificial intelligence (GenAI) on cybersecurity. In addition, ** percent of respondents were most concerned about data leaks and exposure of personally identifiable information through GenAI. Other key concerns included software supply chain risks and technical security of AI systems.

AI-powered malware... With the launch of OpenAI’s ChatGPT in November 2022, concerns have been rising around its possible usage in cyber crime.Trained to create human-like texts in a shorter time without spelling errors, phishing e-mails written by ChatGPT would consequently be harder to detect, for instance. In addition, there is growing concern about AI-powered malicious software, commonly known as malware, as deep learning algorithms would allow hostile actors to target specific victims and remain undetected until specific conditions are met. ...Versus AI-powered cybersecurity Risks aside, the advantages brought by AI to cyber criminals can also bolster cybersecurity. In particular, generative AI-powered solutions can search through vast amounts of data to identify abnormal behavior and detect malicious activity. Looking forward, companies will have to adapt and stay up to speed so that generative AI does not end providing overall cyber advantage to attackers.

In the last week of January 2024, global Google searches for the wording "Taylor Swift AI" skyrocketed. This was due to the circulation of artificial intelligence-generated sexually explicit images of the singer and perform. The use of AI to create non-consensual deepfake explicit material has been impacting celebrities and normal users alike, with destructive effects on the mental health of affected individuals. Generative AI and so-called synthetic media have been used in image-based abuse, as well as in child sexual abuse material (CSAM).

As of 2023, most respondents worldwide expressed to be either very or somewhat concerned about several potential negative outcomes from the use of generative artificial intelligence (Gen AI). The scenario that most concerns the respondents is the possibility of the generation of scams with generative AI, with ** percent of the respondents being very or somewhat worried about it.