This policy aims to establish guidelines for the ethical development, deployment, and usage of Artificial Intelligence (AI) technologies within the organization. It applies to all employees, partners, and third-party vendors involved in AI projects.
AI systems must adhere to the following ethical principles:
Fairness: AI must not be biased or discriminatory. Data used for training AI systems should be inclusive, representing all relevant demographics without favoring or disadvantaging any group.
Transparency: AI processes should be explainable and understandable to users. Decisions made by AI should be auditable, with clear reasoning behind outputs.
Accountability: Clear human responsibility must be maintained for AI actions. Developers, users, and organizations must be accountable for the outcomes of AI deployments.
Privacy: AI systems should respect user privacy, ensuring personal data is used responsibly and in compliance with relevant privacy laws such CCPA.
Safety: AI technologies must be rigorously tested to ensure they do not cause harm to people, society, or the environment.
Data Usage: All data used in AI development must be obtained legally and ethically. Personal and sensitive data must be anonymized unless explicit consent has been given by individuals.
Bias Mitigation: Regular audits and tests must be performed to identify and eliminate biases in the training data and models.
Transparency Requirements: AI systems must provide clear documentation and user-facing explanations of how decisions are made, ensuring users understand how their data is being used.
Human Oversight: All AI deployments must include mechanisms for human oversight, ensuring that automated decisions can be reviewed and overridden if necessary.
Ongoing Monitoring: AI systems must be continuously monitored after deployment for errors, biases, and other unintended consequences, with protocols in place for corrective action.
Right to Explanation: Users have the right to request explanations for decisions made by AI that impact them.
Right to Opt-out: Users must be provided the option to opt out of AI-driven decisions when feasible, allowing for human decision-making as an alternative.
All AI projects must comply with local, and national, laws and regulations including but not limited to privacy laws, anti-discrimination laws, and safety standards.
