The increasing integration of AI in creative, educational, and professional contexts raises fundamental questions about how human effort, skill, and intention are evaluated. Unlike previous tools, AI systems – particularly large language models and generative AI – can produce outputs that closely resemble or even surpass human work in speed, fluency, and sometimes apparent creativity. This challenges traditional notions of authorship, merit, and fairness, and invites a reconsideration of what is genuinely valued in human contributions. Do we value the final product, the intellectual and emotional effort invested in its creation, or the intention behind it? How does the awareness that an artefact was produced by an AI versus a human affect our judgements of quality, authenticity, and moral worth? This section explores these questions by examining three interrelated dimensions. First, we consider the role of fairness and equity in social evaluations of AI-assisted work, particularly in contexts like education and collaborative environments. Second, we examine what aspects of human work – effort, intentionality, skill – are actually valued, drawing on research from both the arts and broader domains of production. Finally, we reflect on how AI reshapes our relationships with the world and with others, highlighting the limitations of machine-generated outputs in social and epistemic interactions. Together, these analyses shed light on the ways AI influences our perception of human labour, creativity, and collaboration.