Responsible AI for governed, reviewable collaboration.
A trust page explaining how Zoiko Sema frames responsible AI principles, human review, admin controls, data protection, safety boundaries, transparency, and enterprise assurance for AI-powered communication workflows.

Responsible AI at a glance
AI that assists communication and stays reviewable.
Plain-language summary of how Zoiko Sema approaches AI — with deeper terms routed to the AI Use Policy, Privacy Notice, Security Policy, and Admin Console.
Human review
AI can summarize, organize, and draft — review accuracy, context, ownership, and sensitivity before relying or sharing.
Jump to human reviewAdmin governance
Owners and admins configure availability, permissions, sensitive-space rules, retention, and sharing where supported.
View Admin ConsoleData protection
AI-related data handling connects to the Privacy Notice, DPA, Security Policy, and subprocessor list.
View Privacy & DataSafety boundaries
AI features should not be used for policy-violating, harmful, deceptive, or unauthorized activity.
Read AI Use Policy
AI feature scope
What this page covers.
AI meeting summaries
Summaries, highlights, decisions, and follow-ups generated from meetings where enabled.
AI Meeting SummariesAction item extraction
Suggested owners, tasks, due dates, and follow-up workflows — with human confirmation expected.
AI Use PolicyDecision capture
Suggested decision records surfaced from meetings, threads, or workspace for review.
AI Use PolicyFollow-up suggestions
Suggested next steps, drafted messages, or task prompts — review before send.
Help CenterAI-assisted search
AI-supported answers, summaries, or contextual assistance with source-checking guidance.
Help CenterWorkspace automation
AI-assisted workflow prompts and governance notifications where supported.
Admin ConsoleResponsible AI principles
Principles mapped to real controls.
Useful, not final
AI assists with summaries, tasks, decisions, and drafts — it should not replace user review or professional judgment.
Maps to: Human review guidance
Admin governed
AI features are managed by workspace owners and admins based on organizational needs.
Maps to: Admin Console, role permissions
Privacy-aware
AI-related data handling aligns with approved privacy, security, DPA, and subprocessor materials.
Maps to: Privacy & Data, Reports
Transparent
Users are informed when AI is used and where AI output appears.
Maps to: AI labels, notifications
Safety bounded
AI features should not support harmful, deceptive, unauthorized, or policy-violating activity.
Maps to: AI Use Policy, Reports Console
Continuously improved
Feedback, quality checks, issue reports, and governance review inform improvements.
Maps to: Feedback flow, incident review
Design requirement
Principles are stated in clear, evidence-oriented language. We avoid vague claims such as "ethical by default" or "fully safe" — each principle maps to a control, review path, reporting route, or related trust document.
Human Review & Output Quality
AI output is helpful, not final.
Review AI output for accuracy, context, ownership, and sensitivity before relying on it, sharing it, or treating it as a record.
Review before relying
Review AI output before using it for decisions, follow-ups, external communication, or records.
Professional judgment
AI output should not replace legal, medical, financial, security, compliance, or employment review.

Review before sharing
Confirm recipients, permissions, accuracy, sensitivity, and context before sharing AI output.
Editable outputs
Where supported, correct summaries, decisions, and action items before publication.
Admin Governance & Controls
Admins govern how AI is used.
Workspace owners and admins configure availability, permissions, sensitive spaces, retention, sharing, and audit visibility — where supported by plan and role.


Data, Privacy & Security
AI use connects to approved trust material.
Data Processing Addendum
Supports enterprise privacy and legal review of customer data processing.
View DPA →Security Policy
Security safeguards, access controls, and enterprise security review.
Visit Security Center →Subprocessors
Approved subprocessors categories and the applicable service provider list.
View Subprocessors →AI Use Policy
Responsible AI usage restrictions, outputs, sharing, and reporting.
Read AI Use Policy →
Safety Boundaries
Where AI should not be used.
Categories and routes below align with the AI Use Policy, Acceptable Use Policy, and Security Policy. Final restrictions live in those approved documents.
Illegal, harmful, or deceptive use
AI must not support activities that violate law, safety, platform rules, or user rights.
Unauthorized access or security misuse
AI must not be used to bypass controls, extract credentials, or misuse systems.
Sensitive decisions
AI output should not be the sole basis for high-impact decisions.
Privacy misuse
AI should not expose or infer sensitive or personal information outside permitted controls.
Unreviewed external sharing
AI summaries and follow-ups should not be shared outside permitted audiences without review.
Misleading representation
Do not present AI output as verified, final, or officially approved unless reviewed and authorized.
Transparency & User Choice
Users see when AI is active.
AI labels
AI-generated summaries, decisions, tasks, or suggestions are clearly labeled where supported.
Feature status
Users see when AI features are active, unavailable, disabled, or restricted by admin policy.
Source & context
Where supported, output shows the meeting, transcript, thread, or workspace source behind it.
Control visibility
Users and admins know where to manage AI settings or request access changes.
Participant awareness
Meeting AI features may show participant-facing context where appropriate.
Choice & reporting
Users can give feedback, report errors, or raise concerns.
Governance Lifecycle
Define, configure, use, review, improve.
Define
Feature scope, policy rules, risk review.
Configure
Admin controls, permissions, retention.
Use
AI summaries, action items, assistive output.
Review
Human checks, edit history, quality, feedback.
Improve
Reports, audits, metrics, updates.


Need responsible AI review materials for your organization?
Visit the Trust Center, read the AI Use Policy, review Privacy & Data, request a DPA, or contact the right team for enterprise AI governance questions.
