---
variant: detail
kind: inputs
slug: microsoft-human-ai-interaction-guidelines
url: /inputs/microsoft-human-ai-interaction-guidelines
title: Guidelines for Human-AI Interaction
source_path: content/inputs/microsoft-human-ai-interaction-guidelines.md
frontmatter:
  title: Guidelines for Human-AI Interaction
  url: >-
    https://www.microsoft.com/en-us/research/project/guidelines-for-human-ai-interaction/
  source: Microsoft Research
  consumed: '2026-07-01T00:00:00.000Z'
  note: >-
    Microsoft Research frames human-AI interaction around what systems should do
    initially, during regular interaction, when wrong, and over time, including
    correction, explanation, feedback, and global controls.
  tags:
    - ai
    - human-ai-interaction
    - interfaces
    - agents
agent_metadata:
  source_path: content/inputs/microsoft-human-ai-interaction-guidelines.md
  html_url: /inputs/microsoft-human-ai-interaction-guidelines
  markdown_url: /inputs/microsoft-human-ai-interaction-guidelines.md
  source_url: >-
    https://github.com/flaming-codes/thinkinglabs/blob/main/content/inputs/microsoft-human-ai-interaction-guidelines.md
  summary: >-
    The guidelines are useful background for prompting disciplines because they
    treat AI interaction as a lifecycle, not a single exchange. A discipline
    needs different expectations for onboarding, correction, explanation,
    granular feedback,...
  word_count: 133
  approx_token_count: 276
  token_estimate: chars/4
---
The guidelines are useful background for prompting disciplines because they treat AI interaction as a lifecycle, not a single exchange. A discipline needs different expectations for onboarding, correction, explanation, granular feedback, and long-term adaptation depending on what kind of work the agent is doing.