What are common patterns in mislabeling AI development?

Short answer: A NeurIPS 2025 contribution examining systematic patterns in how AI systems and their capabilities are mislabeled during development and deployment.

Key findings

• Identifies recurring patterns in how AI development stages and capabilities are characterized
• Contributes to the growing literature on responsible AI communication
• Connects NLP and machine learning methods to questions of public understanding

Publication

NeurIPS 2025.

See also

• How should educators treat GenAI in the classroom
• What are principles for an ethical framework for GenAI use in writing programs
• Are essay-based tests a reliable metric of student performance on college-level writing tasks — shared NLP methodology