Record STMT-WABCD77Voluntary

Stakeholder interactions

Guidelines Institutional policyOceania · NZin force

These guidelines from the Ministry of Business, Innovation and Employment advise businesses on managing stakeholder interactions during AI development and use. It covers conducting stakeholder impact assessments, engaging and consulting with impacted groups including underrepresented communities, maintaining transparency, and establishing effective feedback and complaints processes.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Ministry of Business, Innovation and EmploymentGovernment · NZ

Lead issuer

Legal forceVoluntary

Under whose authorityInstitutional policy

Judged fromfull text

Who it governs

CompaniesAI developers and providersAI deployers and users

This document is for businesses and organizations developing or deploying AI systems who want to engage responsibly with stakeholders and maintain trust.

Sectors

Cross-sector

What the document contains

What's covered

The document covers best practices for identifying stakeholders impacted by AI projects, conducting consultations throughout the AI lifecycle, implementing transparency measures like labeling generated content, and setting up accessible feedback and complaints mechanisms.

What's missing

The text does not include statutory enforcement mechanisms, legal definitions, penalties, or specific technical details for implementing watermarking.

Key takeaways

Conducting a stakeholder impact assessment helps identify individuals and groups affected by AI systems.
Meaningful engagement should consider underrepresented communities, such as non-English speakers, disabled people, and Māori or Pacific peoples.
Businesses should be transparent by clearly communicating when and how AI or generative AI is being used.
Effective feedback and complaints channels ensure that queries are handled in a timely manner and provide avenues for human review.

Outline

· Stakeholder impact assessment
· Engagement and consultation
· Transparency
· Feedback and complaints

IssuedNot recorded

Length1,005 words

FormatNot recorded

Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

0/5

Clear responsibility for AI outcomes

Stakeholder interactions

screening score · 2026-10-24

Fairness

3/5

Non-discrimination and equitable treatment

Special consideration needs to be given to the impact that AI systems may have (either directly, or indirectly) on specific and/or underrepresented communities

Stakeholder interactions

screening score · 2026-10-24

Human Dignity

0/5

Respect for the inherent worth of persons

Stakeholder interactions

screening score · 2026-10-24

Human Oversight

3/5

Humans remain in control of consequential decisions

let people talk to a real person if needed (a human-in-the-loop)

Feedback and complaints

screening score · 2026-10-24

Privacy

1/5

Protection of personal data and private life

individuals whose personal information and/or IP are used in training or input data

Stakeholder interactions

screening score · 2026-10-24

Transparency

4/5

Openness about how AI systems work and are used

You can share information on what your AI systems do, how they work, and what risks they might have.

Transparency

screening score · 2026-10-24

Enforcement

0/5

Consequences and compliance mechanisms with real force

Stakeholder interactions

screening score · 2026-10-24

Impact Assessment

4/5

Required assessment of an AI system's risks/impacts before or during use

A stakeholder impact assessment can help identify and understand your organisation’s artificial intelligence (AI) stakeholders.

Stakeholder interactions

screening score · 2026-10-24

Topics

stakeholder_engagement transparency responsible_ai business_guidance ai_governance