Can You Spot A Deepfake? Take This Free Online Quiz To Find Out

Forbes - Feb 13th, 2025

A London-based software company, iProov, has launched an online quiz to test users' ability to identify AI-generated deepfake photos and videos. The quiz, which asks participants to determine if 10 different images or videos of faces are real or AI-generated, highlights a significant challenge: most people struggle to distinguish between the two. Results from iProov's accompanying study revealed that only 0.1% of the 2,000 U.K. and U.S. consumers surveyed could consistently identify deepfakes. This comes amid a rise in deepfake proliferation online, exemplified by a recent AI-generated video featuring Scarlett Johansson, who subsequently called for a ban on deepfakes, citing inadequate governmental action on the matter.

The study underscores a growing concern about the potential misuse of deepfakes, especially in politics and personal security. With generative AI tools allowing realistic depictions to be created with ease, the risk of misinformation is significant. The findings also reveal a worrying trend: a substantial portion of the population, particularly those over 65, are unaware of deepfakes, rendering them more susceptible to scams. Despite widespread confidence in their ability to detect fakes, most consumers fail to take action when they suspect deception. iProov's CEO, Andrew Bud, emphasized the need for technology companies to implement strong security measures to protect consumers from online deception and safeguard personal information and financial security. The study highlights the urgent need for education and legislation to address these challenges in the digital age.

Deepfakes Scarlett Johansson Consumer Awareness I Proov Ai Generated Images Online Deception

Story submitted by Fairstory

RATING

7.2

Fair Story

Consider it well-founded

The article provides a thorough examination of the challenges posed by AI-generated deepfakes, supported by credible data from iProov. It effectively raises awareness about the issue's urgency and potential societal impacts, particularly with the inclusion of Scarlett Johansson's perspective. While the piece is informative and timely, it could benefit from broader source variety and more detailed transparency regarding the study's methodology. The article is well-structured and accessible, making it engaging for readers interested in technology and privacy issues. Overall, it is a valuable contribution to the ongoing discourse on AI and digital security, with room for further exploration of diverse viewpoints and technical explanations.

Accuracy

The story accurately reports on the iProov quiz and study results, with specific details such as the 0.1% of participants who could distinguish real from fake content, aligning with known data. However, certain claims, like the exact percentage of people who believe they can spot deepfakes or the full context of Scarlett Johansson's statement, require verification. The description of generative AI tools and the potential risks of deepfakes are consistent with current technology capabilities and concerns. Overall, the factual basis of the story is strong, though it could benefit from additional verification of specific details.

Balance

The article presents a balanced view by discussing both the dangers of deepfakes and the actions taken by companies like iProov to combat these issues. It includes perspectives from a high-profile individual, Scarlett Johansson, highlighting the societal impact of deepfakes. However, it predominantly focuses on the negative aspects and could have included more on the potential benefits or benign uses of AI-generated content. The piece could have been more balanced by exploring differing opinions on the regulation of deepfakes.

Clarity

The article is generally clear and well-structured, with a logical flow from the introduction of the quiz to the discussion of deepfake implications. The language is straightforward, making it accessible to a broad audience. However, some technical terms related to AI and deepfakes are not fully explained, which could hinder understanding for readers unfamiliar with the topic. Overall, the article is easy to follow and effectively communicates the main points.

Source quality

The primary source of information is iProov, a credible entity in biometric identity authentication, lending authority to the claims about the deepfake detection quiz and study. However, the article relies heavily on this single source without corroborating its findings with independent experts or studies. While iProov is a reliable source, additional perspectives from other experts in AI or cybersecurity could enhance the article's credibility and depth.

Transparency

The article provides some context about iProov's study and quiz but lacks detailed methodology or explanation of how the study was conducted. It mentions iProov's vested interest in highlighting the dangers of deepfakes, which is a positive transparency aspect. However, more information about the study's design, sample size, and data collection methods would improve transparency and allow readers to better assess the reliability of the findings.