The document discusses the limitations of traditional models of truth in AI and emphasizes the importance of embracing diverse human perspectives through crowdsourcing, known as 'crowdtruth.' It highlights how collective decision-making can outperform individual experts when analyzing complex issues and suggests that increasing disagreement among annotators can lead to richer interpretations and better understanding. Ultimately, the approach advocates for a paradigm shift in how truth is perceived in data annotation and AI development.