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Ethics and AI Policy

Last Updated: October 30, 2024

Introduction

At Pairenthesis ("we," "us," or "our"), we recognize the profound impact that artificial intelligence (AI) has on society. This Ethics and AI Policy outlines our commitment to developing and deploying AI technologies responsibly and ethically within our AI-native, no-code data insights platform (the "Service").

Guiding Principles

  • Transparency: We strive to be transparent about how our AI systems operate and make decisions.
  • Fairness and Non-Discrimination: We are committed to preventing biases in our AI models and ensuring equitable outcomes.
  • Privacy and Security: We prioritize the protection of personal data and adhere to strict privacy and security standards.
  • Accountability: We take responsibility for the impacts of our AI technologies and provide mechanisms for feedback and redress.
  • Human-Centric Approach: We believe in augmenting human capabilities, not replacing them, and ensure human oversight where necessary.

AI Development Practices

  • Data Quality: Use high-quality, representative data sets to train AI models.
  • Bias Mitigation: Implement techniques to identify and reduce biases in data and models.
  • Explainability: Enhance the interpretability of AI outputs to provide understandable results.
  • Continuous Improvement: Regularly update AI models to improve performance and address identified issues.

User Empowerment

  • Control and Consent: Provide users with control over their data and how it is used in AI processing.
  • Opt-Out Options: Allow users to opt out of certain AI-driven features or data processing activities.
  • Education and Awareness: Offer resources to help users understand AI functionalities and implications.

Ethical Use Cases

  • Purpose Alignment: Ensure AI applications align with our mission and ethical standards.
  • Prohibited Uses: Refrain from developing or deploying AI for harmful purposes, such as surveillance violating human rights, autonomous weaponry, or activities that exploit vulnerabilities.

Collaboration and Stakeholder Engagement

  • Expert Consultation: Engage with experts in ethics, law, and AI to inform our practices.
  • Stakeholder Feedback: Encourage feedback from users, partners, and the broader community to improve our AI policies and practices.

Compliance with Laws and Regulations

  • Legal Adherence: Comply with all applicable laws, regulations, and industry standards related to AI and data protection.
  • Global Standards: Monitor and adapt to emerging AI regulations and guidelines globally.

Incident Management

  • Issue Identification: Establish mechanisms to detect and address unintended consequences or misuse of AI.
  • Remediation: Take prompt action to rectify issues and mitigate adverse impacts.

Employee Training and Awareness

  • Ethics Training: Provide training to employees on AI ethics, responsible development, and deployment.
  • Code of Conduct: Enforce adherence to ethical guidelines as part of our organizational culture.

Research and Innovation

  • Responsible Innovation: Encourage innovation while maintaining ethical considerations at the forefront.
  • Knowledge Sharing: Participate in industry forums and share insights to promote responsible AI development.

Policy Governance

  • Regular Reviews: Periodically review and update this policy to reflect evolving ethical standards and technological advancements.
  • Accountability: Assign responsibility to senior leadership for overseeing compliance with this policy.

Contact Information

For questions or concerns regarding our Ethics and AI practices: