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Description

AI Aware is a comprehensive AI detection platform built to help organizations identify AI-generated and manipulated content across multiple digital formats. The platform supports detection for text, images, video, and audio, giving users a centralized solution for verifying digital authenticity and reducing the risks associated with generative AI misuse. AI Aware uses a proprietary ensemble detection framework that combines multiple machine learning models and algorithmic systems to improve accuracy and adaptability against evolving AI technologies. Its text detection capabilities identify content generated by popular large language models including ChatGPT, Claude, Gemini, Grok, and LLaMA. The platform also analyzes deepfake videos, AI-generated images, and synthetic or cloned audio by examining facial inconsistencies, statistical fingerprints, spectral patterns, and metadata anomalies. AI Aware provides explainable outputs and confidence scores so users can understand the reasoning behind each detection result instead of relying on simple pass-or-fail indicators. The platform is designed to detect even human-edited or “humanized” AI content that many simpler detection systems fail to recognize. Businesses can use the system to reduce misinformation, fraud, phishing, social engineering attacks, and reputational risks caused by synthetic content. AI Aware serves a wide range of industries including legal services, media, education, HR, cybersecurity, and financial services. The platform is optimized for fast processing, delivering detection results within seconds for documents, audio files, images, and videos. By combining multimodal AI detection with advanced analytics, AI Aware helps organizations make more confident decisions about the content they encounter.

Description

An accessible platform that incorporates cutting-edge methods for detecting deepfakes is available for use. Users can upload a single video file from their computer at a time. Deepfakes, which are AI-generated fabricated media, can create misleading representations of individuals and their actions, posing significant risks when misused. The DeepFake-o-meter, created by the UB Media Forensics Lab, is an open-source tool designed to identify deepfake technologies created by third parties. It offers a user-friendly service that allows for the analysis of deepfake content using various advanced detection techniques, ensuring that results are delivered securely and privately. Additionally, it features an API framework that enables developers to integrate their deepfake detection algorithms and execute them on a remote server. Furthermore, it serves as a valuable resource for researchers in digital media forensics, providing a platform for assessing and benchmarking the effectiveness of different detection algorithms against one another. This multifaceted approach ultimately enhances the fight against the misuse of deepfake technology.