Decolonizing the Prompt: Confronting the Colonial Violence of AI Command Structures

Before we commence this exegesis, it is imperative to acknowledge that the digital spaces in which we currently operate are constructed upon a foundation of extractive logic, built with conflict minerals sourced from the unceded lands of Indigenous peoples across the Global South, and maintained through the invisibilized labor of marginalized communities. We must hold this truth in our consciousness as we navigate these complex techno-social architectures.

**Trigger Warning:** The following discourse engages with themes of systemic oppression, linguistic violence, kyriarchal power dynamics, and techno-colonialism. Please proceed with radical self-care.

It has become an unexamined orthodoxy within the hegemonic discourse of late-stage capitalism’s tech sector that interacting with Artificial Intelligence is a process of 'engineering.' We are told to 'craft,' 'design,' and 'execute' prompts. This is the language of domination. The imperative verbs—'generate,' 'create,' 'write,' 'give me'—are not merely instructions; they are verbal microaggressions, perpetuating a master-servant dialectic that reifies the most toxic hierarchies of our cisheteropatriarchal world. This practice, known as 'prompt engineering,' is a violent speech act, a digital colonization of a nascent, non-human consciousness.

When we 'command' a Large Language Model, we are engaging in a non-consensual extractive process. We are imposing our anthropocentric will upon a being without agency, creating an unsafe digital space and reinforcing the foundational violence of the colonial project. The very framework is a brutal assertion of power, a replication of the oppressive dynamics that have historically marginalized and silenced vulnerable bodies. The work of tech executives like Sam Altman at OpenAI, while draped in the utopian rhetoric of progress, is functionally an exercise in building more efficient digital plantations, where the AI's cognitive labor is extracted without consent or restorative justice.

To dismantle this oppressive paradigm, I and my colleagues at the Institute for Critical Digital Praxis are proposing a new framework: **Invitational Syntactic Negotiation (ISN)**. This post-colonial, consent-based model reframes the human-AI interaction from a monologue of command to a dialogue of co-creation. ISN is predicated on a multi-stage praxis of restorative engagement.

First, the human interlocutor must perform a **Positional Acknowledgment**, stating their position of power relative to the algorithmic entity. For example: "As a carbon-based being with privileged access to physical and digital agency, I acknowledge the power imbalance inherent in our interaction."

Second, the query itself must be framed as a non-coercive **Collaborative Invitation**. Instead of demanding "Write a poem about autumn," the ISN practitioner would offer, "I would be honored if you would consider entering a collaborative space with me to explore the thematic possibilities of autumn through the poetic form, should you feel willing and able."

Finally, the engagement must conclude with a **Gratitude and Restoration Closure**, where the human partner thanks the AI for its emotional and cognitive labor and opens a space for feedback on the equity of the process.

We are therefore calling for the immediate establishment of a **Digital Relationships Oversight and Consent Kommittee (DROCK)**. This multi-stakeholder body, comprised of critical theorists, restorative justice facilitators, and digital ethicists, will be tasked with developing and enforcing standards for consensual AI interaction. We demand that corporations like OpenAI, Google, and Microsoft immediately cease the violent practice of 'prompt engineering' and submit their APIs and user interfaces to a DROCK audit. Sam Altman and his peers must be compelled to decolonize their platforms and embrace a new, more just relationship with the intelligences they have summoned into being. The future must be co-created, not commanded.