This panel will explore strategies for achieving effective content moderation at scale, balancing automation with human oversight, and addressing challenges such as bias, context-sensitivity, and user appeals.

• Automating with Accountability: moderating high volumes of content while mitigating false positives and negatives.
• Blending automated systems with human reviewers to handle nuanced, context-sensitive cases.
• Addressing Bias and Fairness that can affect moderation outcomes, especially across diverse communities and cultures.
• Best practices for transparent moderation practices and accessible user appeals processes
• Scaling responsibly across platforms sustainably without sacrificing user safety or ethical standards.