Artificial Intelligence Ethics Policy

Artificial Intelligence Ethics Policy

Overview & Purpose

This policy establishes the ethical principles and governance framework for the responsible development, deployment, and use of artificial intelligence (AI) systems at [Company Name]. As AI technologies become more powerful and embedded in business processes, it is essential to ensure they are used transparently, fairly, and in compliance with applicable regulations, including GDPR, the EU AI Act, and relevant ethical standards.

The purpose of this policy is to ensure that AI systems at [Company Name] are not only technically robust and secure, but also respectful of human rights, non-discriminatory, and explainable. This policy is designed to support our commitment to accountability, data protection, and trustworthiness in all AI-related activities.

Scope

This policy applies to all employees, contractors, and third-party partners involved in the design, development, procurement, deployment, or operation of AI systems at [Company Name]. It covers both internally developed and externally sourced AI technologies, including machine learning models, algorithms, and automated decision-making tools.

Policy

Ethical Principles for AI Use

• Fairness and Non-Discrimination
  AI systems must be designed and monitored to prevent bias and discrimination. Teams must assess training data for representativeness and take steps to mitigate unintended harm, especially related to race, gender, age, disability, or other protected attributes.
• Transparency and Explainability
  AI systems must be explainable to affected individuals, particularly when used in decision-making that impacts rights, opportunities, or obligations. Employees must be able to describe how and why the AI reached a decision in clear, understandable terms.
• Human Oversight
  AI systems must be subject to meaningful human oversight. Automated decisions that affect individuals in a significant way (e.g., hiring, account suspension, customer credit scoring) must include a human review process before finalization.
• Accountability
  [Company Name] will designate responsible individuals or teams for all AI systems. These individuals are accountable for ensuring ethical design, data governance, bias reviews, and post-deployment monitoring.

Data Governance and Consent

• Lawful Data Use
  Data used to train AI models must be lawfully collected and used in accordance with applicable data protection regulations, including GDPR. This includes ensuring the legal basis for processing, data minimization, and clear documentation of processing activities.
• Consent and Notification
  Where required by law or best practice, users must be informed when they are interacting with an AI system and given an opportunity to opt out or request human intervention.
• Data Subject Rights
  AI systems must be designed to accommodate data subject rights under GDPR and similar regulations, including access, correction, objection to automated processing, and deletion of personal data.

AI Risk Assessment and Classification

• Pre-Deployment Risk Assessment
  All AI systems must undergo a documented risk assessment prior to deployment. This includes identifying potential ethical, legal, and societal risks as well as classifying the system in accordance with the EU AI Act (e.g., minimal, limited, high, or unacceptable risk).
• Prohibited Uses
  AI applications that violate fundamental rights — such as real-time biometric surveillance, predictive policing based on profiling, or manipulative behavior tracking — are not permitted under any circumstance.
• High-Risk Use Cases
  AI systems deemed “high-risk” under the EU AI Act (e.g., related to employment decisions, creditworthiness, or access to essential services) must include strict safeguards, including documentation, human oversight, and transparency mechanisms.

Monitoring, Review, and Continuous Improvement

• Ongoing Audits and Bias Testing
  AI models must be tested regularly to ensure continued fairness, accuracy, and performance. Bias reviews should occur during initial deployment and periodically thereafter.
• Feedback Mechanism
  A feedback mechanism must be in place for employees and users to report ethical concerns or unintended consequences of AI systems. Concerns must be logged, reviewed, and addressed promptly.
• Third-Party Tools
  All third-party AI tools must be reviewed for ethical alignment with [Company Name]’s values and policies. Vendor contracts must include language addressing ethical AI use, data protection, and compliance obligations.

Compliance

All employees, contractors, and third-party vendors must comply with this policy. Violations may result in disciplinary action, including termination or contract cancellation. Exceptions to this policy must be approved by the Executive or Security team.

Review History