Neves' framework highlights six principles and 24 heuristics focused on improving human-AI interaction through responsible design, user expectations alignment, and trust balancing. Ethical considerations are integrated early in the design process, as illustrated by a fintech project incorporating ethical checkpoints. In an educational AI app, understanding user mental models led to better design choices, aligning user expectations with AI capabilities. This approach facilitates a more ethical and effective user experience, reducing frustration and fostering productive human-AI relationships.
The framework proposed by Neves relies on six fundamental principles and 24 practical heuristics designed to enhance human-AI interaction by centering ethics and user expectations.
Neves' approach emphasizes proactive ethical design from the beginning, which shifts the responsibility of ethics to earlier stages and ensures products are built with ethical checks.
Understanding user mental models is vital; mismatches between user expectations of generative AI systems and actual capabilities can lead to frustration, necessitating user experience redesigns.
Building trust in AI requires a careful balance; too much dependence on AI may lead to user vulnerabilities, while appropriate engagement fosters constructive human-AI relationships.
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