What characterizes the practical consideration of "trust calibration" in human-AI relationships?
Answer
Trust must be earned and measured based on performance history in specific contexts
Trust is not binary; it must be earned and measured specifically based on the AI's demonstrated performance history within particular contexts.
Related Questions
What is the fundamental objective of successfully integrating artificial intelligence into daily work?Which elements are irreplaceable components of human intellect mentioned in human-AI collaboration?In which areas do AI systems demonstrate clear advantages over humans?What action defines the human role in the 'recomposing' phase of workflow management?Regarding ownership of the final output, where should accountability almost always rest?What must a human provide when establishing continuous feedback loops with an AI system?What characterizes the practical consideration of "trust calibration" in human-AI relationships?What governance procedure is mandated to proactively manage "drift" in an AI's foundational understanding?When should AI be allowed to operate autonomously without human involvement?In the long view, what is the primary goal organizations should aim for regarding human-AI interaction?