Policies & Procedures

AI Ethics Policy EU AI Act

AI Risk Management Policy EU AI Act

Data Governance Policy EU AI Act

Incident Response Procedure NIST

Risk Assessments

Data Protection Impact Assessment GDPR

AI System Risk Assessment EU AI Act

Model Risk Assessment NIST

Technical Documentation

AI Model Card EU AI Act

Dataset Documentation EU AI Act

System Architecture Document NIST

Compliance Records

Declaration of Conformity EU AI Act

Audit Report Template ISO

Incident Log NIST

AI Ethics Policy

EU AI Act ISO 42001

[Company Name] AI Ethics Policy

1. Introduction

This policy outlines the ethical principles, commitments, and guidelines for the development, deployment, and use of artificial intelligence systems at [Company Name]. This policy aligns with the requirements of the EU AI Act and international best practices.

2. Scope

This policy applies to all AI systems developed, deployed, or used by [Company Name], including systems developed by third parties on behalf of the company. It covers all employees, contractors, and partners involved in AI-related activities.

3. Ethical Principles

Describe your company's core AI ethical principles here. You may include principles such as fairness, transparency, privacy, security, and human oversight.

4. Governance Structure

The following governance structure is established to ensure adherence to this policy:

AI Ethics Committee: Describe the composition and responsibilities of your AI Ethics Committee
AI Governance Team: Describe the team responsible for day-to-day implementation of ethical principles
Oversight Mechanisms: Describe how oversight of AI systems will be maintained

5. Risk Management Approach

Describe your approach to identifying, assessing, and mitigating ethical risks in AI systems

6. Technical Requirements

All AI systems must meet the following technical requirements:

Transparency: Describe transparency requirements
Explainability: Describe explainability requirements
Data Quality: Describe data quality requirements
Testing: Describe testing requirements

7. Monitoring and Review

Describe how the company will monitor AI systems for ethical issues and how often this policy will be reviewed

8. Policy Enforcement

Describe how this policy will be enforced and consequences for non-compliance

9. Document Control

Version	Date	Approved By	Changes
1.0	Enter date	Enter name	Initial version

AI Recommendations

Suggested Ethical Principles

Based on your company profile and industry, we recommend including the following ethical principles:

Human-Centered Design: We prioritize human well-being and safety in all AI systems.
Fairness and Non-Discrimination: We design AI systems to be fair and free from bias.
Transparency and Explainability: We ensure our AI systems are transparent and their decisions can be explained.
Privacy and Data Protection: We protect user data and privacy in all AI operations.
Security and Safety: We build robust AI systems that operate safely and securely.

Governance Structure Example

Based on your company size and industry, we recommend the following governance structure:

AI Ethics Committee: A cross-functional committee consisting of technical, legal, privacy, and business representatives that meets quarterly to review AI projects and ethical considerations.
AI Governance Team: A dedicated team within the technology department responsible for implementing ethical guidelines, conducting risk assessments, and providing day-to-day guidance.
External Advisory Board: A group of external experts from academia, civil society, and industry who provide independent oversight and guidance on AI ethics issues.

Compliant Risk Management Approach

To comply with EU AI Act requirements, consider this risk management approach:

Our risk management approach for AI systems follows a structured process:

Risk Identification: We systematically identify potential ethical, legal, and technical risks through regular assessments throughout the AI lifecycle.
Risk Assessment: We evaluate identified risks based on their likelihood and potential impact, with particular attention to fundamental rights impacts.
Risk Mitigation: We develop and implement controls to address risks, following the hierarchy of elimination, technical controls, and procedural controls.
Monitoring and Review: We continuously monitor our AI systems for emerging risks and regularly review the effectiveness of our risk controls.

All high-risk AI systems undergo a comprehensive risk assessment before deployment and regular reassessment thereafter.

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