AI content moderation is the use of machine learning models to automatically detect, assess, and manage online content to ensure it complies with content policies, community guidelines, legal requirements, and global regulations. Instead of relying solely on human moderators, AI models are trained to identify harmful or non-compliant content - such as hate speech, misinformation, harassment, or explicit material - at scale and in real time.
At Checkstep, we believe the most effective content moderation solutions combine best in class AI models with human expertise. Our platform automatically classifies text, images, audio, and video for various risk types, helping platforms and moderation teams to maintain safe and inclusive online spaces. We also provide transparency and auditability tools that comply with regulations such as a Digital Services Act (DSA) so that moderation decisions can be explained, appealed, and continuously improved.
 

Yes, we fully support a mix of:

• Different queues can be set-up based on different detection policies, regions, regulations;
• Escalations within the platform to ensure content can get seen quickly by the right team;
• Different queues can be manned by different teams of moderators;
• Queues can be ranked according to needs: i.e. first-in-first-out, minimising SLAs, optimising for severe harms etc. 

We can help with preparing for the DSA and OSB implementation, whilst remaining consistent with data protection legislation. We can work directly with your governance team if required to run gap analysis and formulate a risk profile comfortable to your individual business. We will then help drive the implementation of the strategies through Checkstep tooling, your current current stack integrations and overall trust and safety operation to streamline legislative requirements and drive down compliance costs.

Yes, our data is ethically sourced from Kaggle competitions and public datasets.