Human-AI Co-Interpretation for Responsible AI: A Hermeneutic Perspective

Explain Like I'm Normal

Researchers are warning against 'interpretive misplacement,' where humans treat AI-generated summaries as objective truths rather than subjective readings. The paper argues that for AI to be used in law or policy, it must provide explicit normative frames and provenance so humans can verify the logic behind the output. Essentially, we need to stop letting models make high-stakes judgments without showing their work or their biases.