According to a survey conducted in August 2023, 69 percent of respondents aged 65 and older in the United States reported being very concerned about the spread of video and audio deep fakes generated via artificial intelligence (AI). Overall, the majority of U.S. citizens across all age groups expressed worries about AI-generated deep fakes.

According to a survey conducted in August 2023, 62 percent of adult female respondents in the United States expressed concerns about the spread of artificial intelligence (AI) video and audio deepfakes. Similarly, nearly 60 percent of men shared this concern. In contrast, only one percent of adult women and three percent of adult men in the U.S. reported that they were not concerned at all.

According to a survey conducted in August 2023, six in 10 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 two percent of U.S. citizens reported not being concerned at all about the AI-generated deep fakes.

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 global 2022 survey found that 71 percent of consumers claimed they did not know what a deepfake video was, while 29 percent claimed to be familiar with the term.

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.

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

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

The artificial intelligence market is estimated to grow from $273.6 billion currently to $5,267 billion by 2035, at a CAGR of 30.84% during the forecast period, till 2035.

Artificial Intelligence (AI) Market size was valued at USD 285.9 Billion in 2023 and is poised to grow from USD 331.42 Billion in 2024 to USD 1213.68 Billion by 2032, growing at a CAGR of 15.92% during the forecast period (2025-2032).

Comprehensive comparison of Artificial Analysis Intelligence Index vs. Context Window (Tokens) by Model

In 2023, the police in South Korea recorded 180 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.

The statistic shows artificial intelligence frameworks ranked by power score in 2018. TensorFlow has the highest score and ranks as the number one AI deep learning framework with a score of 96.77.

Comparison of Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index by Model

Comparison of Tokens used to run all evaluations in the Artificial Analysis Intelligence Index by Model

Comprehensive comparison of Artificial Analysis Intelligence Index vs. Output Speed (Output Tokens per Second) by Model

Comprehensive comparison of Artificial Analysis Intelligence Index vs. Price (USD per M Tokens) by Model

Per a survey carried out in July 2023, a majority of respondents in the United States confirmed that they believe AI should be regulated and that they are concerned about deep fakes. As a result, many are less firm in their belief that AI is currently safe and secure, with concerns around AI use by government agencies.

Comparison of Seconds to Output 500 Tokens, including reasoning model 'thinking' time; Lower is better by Model

Comparison of Output Tokens per Second; Higher is better by Model

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, 22 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.