As AI becomes integral to our software, clear ethics and guidelines are essential. This page outlines our commitment to responsible AI use that prioritizes transparency, fairness, and user trust. 

1. Transparency: Clearly communicate how, why, and when AI systems are utilized, ensuring that stakeholders understand AI's role in decision-making processes.
   
   

2. Human-Centric Approach: Prioritize the needs and well-being of individuals and communities, including Indigenous peoples, ensuring AI systems serve the public interest.
   
   

3. Risk Assessment and Mitigation: Evaluate and address potential risks to legal rights and democratic norms throughout the AI system's lifecycle, implementing measures to mitigate identified risks
   
   

4. Privacy and Data Governance: Ensure that AI systems use data collected, used, and disclosed lawfully, respecting privacy and intellectual property rights, and maintaining robust data governance practices. ​
   
   

5. Bias and Accuracy Evaluation: Regularly assess AI system outputs to minimize biases and inaccuracies, enabling users to distinguish between AI-generated and human outputs.
   
   

6. Accountability: Establish clear governance structures and accountability measures for AI system decisions and outcomes, ensuring that human oversight is maintained. ​
   
   

7. Safety and Security: Implement comprehensive assessments to identify and mitigate potential adverse impacts, including risks associated with inappropriate or malicious use of AI systems. ​ISED Canada