Yanan Long

Marginalized communities face significant barriers in influencing AI policy, but actionable strategies can empower their voices in governance.

Misleading AI performance metrics can stem from selective reporting, with two different histories yielding similar results, challenging our understanding of progress in AI capabilities.

Systematic gaps in AI evaluation reporting are exposed, revealing inconsistencies that hinder reliable comparisons across thousands of models and benchmarks.

Despite growing interest, queer NLP research remains largely reactive, highlighting biases instead of building proactive solutions, leaving significant opportunities for stakeholder-driven and intersectional approaches.