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Legal | Updated 2026
Privacy Policy
Acer Innovation, Inc. Privacy Policy updated for 2026 with clearer website, analytics, contact, business inquiry, and AI Governance transparency language.
Explore AI Governance North Star2026 consistency updateAI Governance CTAEnterprise-grade transparencyCounsel review recommended
Privacy Policy
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Overview
Acer Innovation, Inc. respects privacy and is committed to handling information responsibly. This Privacy Policy describes, at a high level, how Acer Innovation may collect, use, protect, and retain information through its website, business communications, events, consulting engagements, and related digital channels.
The policy has been updated for 2026 to align with the company’s AI Governance positioning, website consistency standards, and executive audience expectations. It is not intended to replace client-specific contractual terms, data processing agreements, statements of work, or legally required notices.
Information we may collect
Acer Innovation may collect business contact information, inquiry details, registration information, communications, website usage data, device and browser information, analytics information, and other information provided voluntarily by visitors, prospects, clients, partners, and event participants.
Where consulting engagements involve client data, treatment of that data should be governed by the applicable agreement, statement of work, confidentiality obligations, security requirements, and data processing terms.
How information may be used
Information may be used to respond to inquiries, provide services, manage business relationships, deliver requested information, improve the website, understand engagement with Acer Innovation content, support security, comply with legal obligations, and communicate about relevant AI Governance, analytics, consulting, event, and thought-leadership offerings.
Acer Innovation may use analytics, automation, or AI-assisted tools to improve business processes and content quality, subject to appropriate confidentiality, privacy, security, human review, and governance controls.
Cookies and analytics
The website may use cookies, analytics technologies, tracking pixels, or similar tools to understand usage, improve performance, support marketing operations, and protect the website. Visitors may control cookie settings through browser controls or other available mechanisms, where applicable.
Information sharing
Acer Innovation does not sell personal information as a core business practice. Information may be shared with service providers, advisors, affiliates, technology partners, event partners, or authorities when necessary to operate the business, provide services, protect rights and security, comply with law, or fulfill a legitimate business purpose.
Security and retention
Acer Innovation applies reasonable administrative, technical, and organizational safeguards designed to protect information. No website or transmission method can be guaranteed to be completely secure. Information is retained for as long as reasonably necessary for business, legal, contractual, security, and recordkeeping purposes.
Choices and contact
Individuals may contact Acer Innovation to request information about privacy practices or to submit privacy-related requests. Requests may be subject to identity verification, legal limitations, contractual requirements, and applicable law. Contact: 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.