🧠 How AI Impacts Hate Speech
Artificial Intelligence (AI) shapes nearly every aspect of our lives, from how we search online to how we communicate. It makes daily tasks easier, but when applied to online moderation, it brings new challenges.
Algorithms designed to detect hate speech can sometimes go too far, removing legitimate posts and silencing voices, or not far enough, letting harmful content slip through. Both scenarios can lead to discrimination, often against groups already at risk.
As the FRA Fundamental Rights Report 2025 reminds us, algorithms are not neutral. They reflect the data and values we feed into them, which means they can also reproduce existing biases.
⇒ HATE-LESS.EU believes that the solution lies in balance: combining AI’s efficiency with human judgment and ethical oversight. Automation can help identify risks faster, but people bring the empathy, understanding, and context that machines lack.
⇒ By teaching critical thinking and algorithmic awareness, we empower young people to understand how technology shapes the information they see and how to challenge bias when they spot it.
AI should be a tool for inclusion, not exclusion.
📖 Source: FRA Fundamental Rights Report 2025
Learn more: https://hate-less.eu
