Protect your community and brand with advanced AI-powered media detection across gifs, emojis, images, videos, and more.
Harmful media damages trust and creates unsafe environments.
It can lead to reputational harm, decreased engagement, and financial risks for businesses.
Freedom2hear ensures a safer digital space by identifying and blocking harmful content across all formats, including images, videos, GIFs, and emojis.
Profile images on social media: detect inappropriate or harmful profile pictures such as hate symbols or explicit imagery.
Identify and block violent, explicit, or harmful visual content across all channels.
Analyse video, GIFs, audio, emojis, and other media types for hidden toxicity or threats.
Freedom2hear’s Media Detection solution is designed to provide unparalleled accuracy and flexibility. From real-time moderation to advanced object recognition, our tools empower you to maintain a safe, inclusive, and engaging digital environment while respecting user privacy.
Real-time detection of harmful media.
Multi-platform coverage for consistent moderation.
Context-aware AI for nuanced analysis.
Customisable filters tailored to your needs.
Advanced object recognition to identify specific elements in images (e.g., weapons, hate symbols).
Privacy assured with no confidential data access required.
The solution can detect toxicity and threats across a variety of content formats and types.
Our Emotion AI reduces false positives by detecting subtle nuances missed by traditional systems, while continuous improvement ensures our system evolves to address emerging threats effectively—all while respecting freedom of expression.
We never access private messages or require sensitive information. Your organisation remains in full control of its data.
Trusted by Fortune 500 companies, Premier League football clubs, and international sports federations.
Our API solution offers unparalleled flexibility, allowing you to integrate our cutting-edge content moderation technology into your proprietary applications or workflows. Whether you’re managing an online community, a gaming platform, or a customer support system, our API adapts to your unique needs.
for harmful content in real time.
for niche forums or industry-specific platforms.
ensuring compliance and brand safety.
The blog post outlines the challenges in benchmarking emotional intelligence in AI systems, highlighting issues such as subjective scene settings, ambiguous labelling, and hidden assumptions that often lead to inconsistent evaluations. It calls for an interdisciplinary, nuanced approach - one that not only measures outcomes but also examines the reasoning behind responses, and their consistency - to better capture the complexities of human emotion in real-life scenarios.
Mark Zuckerberg’s recent announcement on changes to Meta’s content moderation and fact-checking policies has been nothing short of a seismic shift. Meta, a company that has alternated between being a bastion of free expression and a staunch enforcer of digital boundaries, seems to have embraced its inner time-traveller, careening between extremes like a Delorean navigating temporal paradoxes. While this move is positioned as an evolution, it raises more questions than answers. Who wins, who loses, and what can we learn from platforms like Reddit? Let’s unpack.
In 2024, AI is advancing industries like healthcare, space, and education, accelerating drug development, predicting protein structures, and personalising learning. It's also improving customer service, manufacturing, and tackling environmental challenges, highlighting its transformative potential.
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