At Freedom2hear, we use Emotion AI to protect digital communities from hate and toxicity while fostering positive interactions.
Our mission is to nurture a safer, kinder, and healthier future for all by protecting digital communities from hate and toxicity. We believe in safeguarding online spaces without compromising freedom of speech.
Our technology is built by a world-class team of AI researchers and psychologists dedicated to understanding human emotions:
At Freedom2hear, we are committed to making a meaningful impact by offering our cutting-edge Emotion AI solutions free of charge to non-profits and charitable organisations. This initiative supports their vital work in creating safer, kinder, and more inclusive online spaces. By partnering with these organisations, we amplify their efforts to protect vulnerable communities and promote positive digital interactions worldwide.
In recent years, online abuse targeting female athletes has escalated dramatically, posing significant risks to their well-being and professional careers. These disturbing trends underscore the urgent need for stronger protections for athletes, particularly female athletes, who are disproportionately impacted by such abuse. The situation highlights the growing importance of creating safer, more inclusive online spaces within the world of sports.
The Netflix series Adolescence has ignited crucial discussions about the profound influence of social media on today's youth. This article highlights the urgent need for responsible and psychologically informed content moderation. Drawing from real-world data, social and emotion psychology theories, it underscores how advanced moderation technologies, like those built into our social media solution, can help prevent harm by identifying nuanced patterns of toxicity, decoding hidden language, and supporting healthier digital environments.
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.
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