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Terms of Use
Acer Innovation, Inc. Terms of Use updated for 2026 with clearer website use, intellectual property, consulting content, AI Governance materials, and limitation language.
Explore AI Governance North Star2026 consistency updateAI Governance CTAEnterprise-grade transparencyCounsel review recommended
Terms of Use
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Acceptance of terms
By accessing or using the Acer Innovation website, visitors agree to these Terms of Use. Visitors who do not agree should not use the website. Acer Innovation may update these terms from time to time by posting revised terms on the website.
Website content
Website content is provided for general informational, educational, marketing, and business-development purposes. Content may discuss AI Governance, responsible AI, analytics, data strategy, executive management consultation, industry trends, and related topics. It does not constitute legal, regulatory, financial, medical, investment, cybersecurity, or other professional advice.
Intellectual property
The website, design, text, graphics, logos, frameworks, service descriptions, and other materials are owned by or licensed to Acer Innovation, Inc. unless otherwise stated. Visitors may not copy, reproduce, modify, distribute, create derivative works, or use website content for commercial purposes without written authorization.
Permitted use
Visitors agree to use the website only for lawful purposes and not to interfere with website operations, attempt unauthorized access, introduce malicious code, scrape content at scale, misuse forms, impersonate others, or use the website in a manner that could harm Acer Innovation, its clients, or third parties.
AI Governance materials
AI Governance frameworks, operating-model descriptions, checklists, examples, and related materials are illustrative and must be adapted to each organization’s facts, risk profile, sector, jurisdiction, technical environment, and control maturity. Publication of these materials does not create a consulting, fiduciary, legal, or advisory relationship.
Third-party links and services
The website may contain links or integrations involving third-party websites, social media platforms, maps, analytics, or embedded services. Acer Innovation does not control third-party sites and is not responsible for their content, policies, or practices.
Limitation and contact
To the maximum extent permitted by applicable law, Acer Innovation disclaims warranties regarding website availability, completeness, accuracy, and uninterrupted operation. Questions about these terms may be directed to info@acerinnovation.com.
AI
AI Governance North Star
For board-level AI Governance advisory, visit the Acer Innovation AI Governance North Star page.
Go to AI GovernancePublication note
This page is structured for website consistency and general transparency. Legal, privacy, regulatory, and contractual terms should be reviewed by qualified counsel before publication or reliance.
Acer Innovation North Star
AI Governance operating-model principles embedded across this page
1
Governance as an operating system
Treat AI Governance as enterprise infrastructure with decision rights, controls, evidence, monitoring, escalation, auditability, and measurable accountability.
2
Enterprise AI system of record
Maintain a living inventory for models, agents, copilots, embedded AI, vendor tools, data sources, owners, geographies, risk tiers, and retirement plans.
3
Risk-tiered intake and classification
Route every use case through a formal gateway based on purpose, affected stakeholders, decision impact, data sensitivity, autonomy, and regulatory exposure.
4
Human-in-command decision rights
Define decision tiers for AI-recommended, AI-assisted, AI-executed with override, AI-executed with prior approval, and prohibited AI autonomy.
5
AI passport and evidence package
Require purpose, owner, lineage, vendor dependency, testing evidence, approval history, monitoring metrics, known limits, restrictions, and incident pathway before production.
6
Lifecycle gates and continuous monitoring
Govern ideation, data readiness, model selection, validation, deployment, drift, change management, incident response, and retirement as one auditable lifecycle.
7
Agentic AI permission boundaries
Put hard limits around tools, data access, transactions, external communications, code deployment, privileged actions, kill switches, and real-time monitoring.
8
Data, privacy, security, and lineage
Connect AI Governance to data classification, access controls, retention, provenance, privacy reviews, cybersecurity testing, prompt and output logging, and leakage detection.
9
Third-party AI assurance
Procurement becomes a control point with vendor attestations, model purpose, training-data posture, audit rights, subcontractors, incident notice, and contractual safeguards.
10
Incident response and near-miss learning
Treat hallucinations, bias events, privacy leakage, cyber compromise, drift, unsafe automation, and control failures as reportable operating signals.
11
Board-visible value and risk dashboards
Report AI adoption, value realization, risk tiering, control maturity, incidents, drift, override rates, customer impact, regulatory exposure, and remediation velocity.
12
Global control backbone
Map a common enterprise baseline to NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, EU AI Act expectations, privacy law, cyber standards, and sector-specific regulation.