Data and Analytics Ethics Framework

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Ë¿¹ÏÊÓÆµAPP's Artificial Intelligence (AI) and Data & Analytics Ethics Principles guide the company's approach to protection and use.

These principles guide our commitment to fostering trust, integrity, and accountability in AI practices, protecting individual rights, promoting fairness, and aligning with regulatory and societal expectations. They will continue to shape our approach, directing the actions of our developers, users, vendors, and stakeholders as we advance AI responsibly. 

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Responsible AI Principles

  • Safe: Ë¿¹ÏÊÓÆµAPP practices responsible development and deployment of artificial intelligence (AI) systems, aiming to prevent harm to people and the environment, ensuring they perform as intended even under unexpected conditions. 
  • Secure and Resilient: Safeguarding our customers, partners, and vendors is a top priority. Ë¿¹ÏÊÓÆµAPP delivers AI systems that are protected from data breaches and maintain functionality if challenged.
  • Explainable and Interpretable: Through documentation and best practices, Ë¿¹ÏÊÓÆµAPP will seek to understand how and why an AI system reaches a decision.
  • Privacy-Enhanced: Ë¿¹ÏÊÓÆµAPP will build AI systems that protect personal data and user privacy throughout the data lifecycle.
  • Fair â€“&²Ô²ú²õ±è;with Harmful Bias Managed: Ë¿¹ÏÊÓÆµAPP will design and implement AI systems to minimize and manage bias and ensure equitable treatment for all users.
  • Accountable and Transparent: Ë¿¹ÏÊÓÆµAPP will maintain accountability for its AI systems and their decisions through clear documentation and transparency in all processes.
  • Valid and Reliable: Ë¿¹ÏÊÓÆµAPP will perform regular testing and reviews of our AI systems to ensure consistent and reliable performance. 

 

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Ethical Data Use Practices 

Data Utilization Prioritizes Fairness and Equity

  • Ë¿¹ÏÊÓÆµAPP believes that the ethical acquisition and analysis of data have the power to advance our industry and society at large, and this can only be achieved if our methods and outcomes are clear and understandable to internal stakeholders.
  • Ë¿¹ÏÊÓÆµAPP practices and promotes a culture of ongoing oversight and analysis to ensure that data attributes are fair and non-discriminatory. Our stakeholders are accountable for ensuring artificial intelligence (AI) systems do not introduce bias and adhere to ethical standards.
  • Ë¿¹ÏÊÓÆµAPP does not knowingly process information obtained through nefarious means, nor do we make decisions based on protected attributes such as race, religion, sexual orientation, ethnicity, or political beliefs. Similarly, we ensure that our processes and AI systems do not inadvertently introduce bias.
  • Ë¿¹ÏÊÓÆµAPP ensures that any party with whom we send or share data upholds a high standard of ethical practices for all data handling activities, including privacy protections and transparency about data usage.
  • Ë¿¹ÏÊÓÆµAPP does not license or sell any of our client or employee data.
  • Ë¿¹ÏÊÓÆµAPP evaluates all components of the analytics process for fairness, including paying specific attention to monitoring the model outcomes, explainability, and overall impact to stakeholders.

 

Ethical Data Operating Practices 

Data Management Ensures Privacy, Transparency, and Security

  • Ë¿¹ÏÊÓÆµAPP follows a high standard of legal and regulatory requirements, while maintaining a global view and attentively considering potential consequences for our stakeholders. We ensure all data handling processes are transparent and that our artificial intelligence (AI) systems meet robust security standards to prevent unauthorized access.
  • Ë¿¹ÏÊÓÆµAPP sets and adheres to a high standard of integrity and care as it pertains to the transmission, storage, use, and auditing of data, ensuring that our AI systems operate reliably and securely across all stages of the data lifecycle.
  • Ë¿¹ÏÊÓÆµAPP is dedicated to protecting individual privacy by de-personalizing datasets whenever possible and ensuring secure processes and information systems are in place to safeguard data integrity.
  • Ë¿¹ÏÊÓÆµAPP employs a multi-layered series of checks and balances to ensure access to data is on a “need-to-use" basis and within the purview of the contractual rights assigned to each dataset. AI systems are regularly tested for security vulnerabilities, and access permissions are tightly controlled.
  • Ë¿¹ÏÊÓÆµAPP designs and implements AI systems that prioritize and uphold human ethics and wellbeing to ensure they do not undermine societal value.

 

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Our Team is Here
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We comply with requirements within the jurisdictions in which we operate, provide appropriate technical and organizational security, and guarantee respect for personal data protection rights around the world. Curious about our policies and governance practices? Contact us. 

 

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