In the world of AI-generated content, it is important to distinguish between the labels of AI detection and deepfake detection. While the latter generally refers to the detection of AI-manipulated images, videos, and audio, the former term has come to define the detection of text generated by Large Language Models like OpenAI’s ChatGPT and Meta’s Llama 3. This distinction is important given the niche tools utilized to detect AI writing.
Why AI Detection Tools are Needed
Methods that help accurately detect AI writing have become essential across industries. In academia, teachers are noticing a sharp increase in students utilizing chatbots to write their work, and bring up the issue of plagiarism inherent to AI models that are trained on the written work of human professionals. The integrity of scientific peer review is threatened by the flood of AI-generated articles, and academics utilizing AI technology to review and approve these papers due to the frantic workload they face.
This results in important scientific materials being both written and reviewed by AI models, leaving out human expertise entirely. A flood of AI-written news articles posted on fake news websites threatens the integrity of journalism and the public’s ability to discern between fact and fiction. Companies and public institutions are noticing a spike in fraudsters using AI-written and manipulated documents to apply for driver’s licenses, bank accounts, and leases.
How AI Detection Tools Work
To detect AI writing, experts utilize natural language processing (NLP) and machine learning to scan text for patterns indicative of AI generation. While both AI text detection and deepfake detection aim to identify AI-generated content, they differ in their focus and techniques. AI text detection analyzes textual data for signs of AI authorship, leveraging linguistic and syntactic patterns as well as massive datasets comparing AI-generated and human-written text.
In contrast, deepfake detection tools employ a range of techniques including digital forensics, facial recognition, and neural networks, to spot inconsistencies and signs of manipulation in audiovisual content. Each type of detection has distinct applications and requires specialized technology to address unique challenges.
Reality Defender’s AI Detection Tool
Reality Defender offers advanced solutions to detect AI writing and deepfakes within the same workflow, covering a wide range of applications across industries via our convenient web application and platform-agnostic API that can be integrated into any preexisting security pipeline. The AI detection tool analyzes the submitted text in separate blocks of 2000 words and produces probabilistic scores, expressing our certainty about the text being AI-created or manipulated.
The explainability tool can be toggled on to highlight the parts of the text that betray its synthetic origin. Currently, we are beta-testing a new tool that will allow financial institutions and other platforms to detect AI-manipulation in documents, as the rate of AI-fueled fraud skyrockets and threatens to upend current security measures.
Reality Defender continues to develop a holistic solution by offering tools for simultaneous AI detection and deepfake detection. As the technology enabling easy creation of forgeries evolves, leveraging these AI detection tools becomes essential in preserving authenticity and trust in the digital world.
