Humans in Space: Designing to Foster Trust and Fluencies in Human‐AI Relationships

Since the explosion of generative AI into public consciousness, educators, researchers, and policymakers have devoted a significant amount of effort to define and promote “AI literacy,” which appears to mean many things. Critical analysis and ethics in design and decision-making both introduce the notion of trust: how much is the right level of trust in the human-AI relationship, and what are the consequences of over- and under-trusting the tools we use for critical tasks? Trust quickly becomes entwined with both practical and ethical consequences. Humans frequently confuse familiarity and comfort with trust and reliability. The mass of energy on AI workforce training and education has focused on easy-to-list sets of literacies and competencies. Knowledge decay is one of the most predictable features of human learning.