New AIPEX Publication – Question Zero: Why Responsible AI Begins Before AI Adoption

2026-07-02 · Source: AI Policy Lab · Field: Government & Public Sector — Public Policy & Governance, Regulatory & Compliance, Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

The AI Policy Lab at Umeå University has released the Question Zero (Q0) Self-Assessment Tool for Responsible AI, designed to guide organizations in foundational questioning prior to AI adoption. This tool is centered on "Question Zero: \"Under what conditions should an AI system be adopted, if at all?\"" and supports cross-functional team discussions across five key areas: motivation, stakeholder mapping, system type, adoption process, and infrastructure. Intended for public institutions, civil society organizations, and policymakers, the Q0 tool addresses the prevalent pressure to integrate AI, exemplified by policies like the European Commission's Apply AI Strategy (2025). The authors contend that a purposeful, problem-led assessment must precede any AI procurement and deployment decisions, countering the trend of starting with AI as a default solution.

Key takeaway

For public institution leaders considering AI integration, you must prioritize a problem-led assessment using tools like the Q0 Self-Assessment Tool before any procurement or deployment. This approach, centered on "Question Zero," ensures your AI adoption aligns with genuine needs and avoids costly, misdirected deployments driven by external pressure, such as the European Commission's Apply AI Strategy (2025). Proactively define conditions for AI use to foster truly responsible and effective outcomes.

Key insights

Responsible AI adoption requires foundational questioning about necessity and conditions before procurement or deployment.

Principles

• Problem-led assessment must precede AI procurement.
• AI adoption decisions need cross-functional discussion.
• Question Zero guides pre-adoption condition assessment.

Method

The Q0 Self-Assessment Tool facilitates cross-functional discussions covering motivation, stakeholder mapping, system type, adoption process, and infrastructure to determine AI adoption conditions.

In practice

• Use Q0 tool for pre-AI adoption discussions.
• Map stakeholders before considering AI solutions.
• Assess AI system type early in planning.

Topics

• Responsible AI
• AI Governance
• AI Adoption Strategy
• Question Zero Tool
• Stakeholder Mapping
• AI Policy Lab

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Policy Maker, Consultant, AI Ethicist

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Policy Lab.