---
variant: detail
kind: inputs
slug: mixed-initiative-generative-ai-interfaces
url: /inputs/mixed-initiative-generative-ai-interfaces
title: Mixed Initiative Generative AI Interfaces
source_path: content/inputs/mixed-initiative-generative-ai-interfaces.md
frontmatter:
  title: Mixed Initiative Generative AI Interfaces
  url: >-
    https://computationalcreativity.net/workshops/cocreative-iccc20/papers/Future_of_co-creative_systems_185.pdf
  source: 'Michael Muller, Justin D. Weisz, and Werner Geyer'
  consumed: '2026-07-01T00:00:00.000Z'
  note: >-
    The paper proposes a framework for describing human-AI interaction in
    generative AI applications, building on mixed-initiative and
    creative-interface research.
  tags:
    - ai
    - human-ai-interaction
    - creativity
    - interfaces
agent_metadata:
  source_path: content/inputs/mixed-initiative-generative-ai-interfaces.md
  html_url: /inputs/mixed-initiative-generative-ai-interfaces
  markdown_url: /inputs/mixed-initiative-generative-ai-interfaces.md
  source_url: >-
    https://github.com/flaming-codes/thinkinglabs/blob/main/content/inputs/mixed-initiative-generative-ai-interfaces.md
  summary: >-
    The mixed-initiative frame gives historical depth to prompting disciplines.
    The question is not simply what the user types, but when the human steers,
    when the model proposes, when the system asks, and how the artifact evolves
    between them.
  word_count: 129
  approx_token_count: 263
  token_estimate: chars/4
---
The mixed-initiative frame gives historical depth to prompting disciplines. The question is not simply what the user types, but when the human steers, when the model proposes, when the system asks, and how the artifact evolves between them.