AI Ethics Policy

Unlike commercial applications, AI in Government goes beyond optimization and prioritizes trust, privacy, equity, and regulatory compliance. Upholding public trust and confidence while protecting privacy, promoting equity, and adhering to applicable regulations is crucial. We employ a Responsible AI framework and continuous verification model to mitigate bias, privacy, and legal risks. This framework ensures diverse, unbiased data selection, ongoing algorithm adjustments, and compliance monitoring, minimizing discrimination based on keywords or specified criteria.

Key Principles:

• Fairness and Inclusivity: We are committed to developing AI systems that are impartial and non-discriminatory, ensuring fair treatment of individuals regardless of personal characteristics such as race, gender, or age.

• Transparency and Explainability: AI-driven processes will be transparent and explainable. The reasoning behind AI outputs will be clearly communicated, enabling human decision-makers to understand how conclusions are reached.

• Privacy and Security: Our AI solutions are designed with rigorous privacy protocols to protect sensitive data from unauthorized access, ensuring compliance with relevant data protection regulations.

• Avoidance of Harm: AI systems are built to prioritize user safety and mitigate potential harms, especially to vulnerable populations, by embedding risk-reduction mechanisms.

• Enabler, Not Decision-Maker: Our AI-enabled solutions serve to assist human decision-makers by rapidly processing data and highlighting key information for consideration. The final decision-making responsibility always remains with human agents.

• Continuous Monitoring and Improvement: We conduct regular reviews of our AI systems to ensure they adhere to ethical standards, and remain accurate, fair, and aligned with evolving societal and regulatory needs.