AI Ethics Statement

Last Updated: September 2, 2026

At HIGHRISE SOFTWARE PTE. LTD., we believe artificial intelligence should augment human capabilities while respecting fundamental rights and ethical principles. This statement outlines our commitment to responsible AI development.

1. Our Core Principles

1.1. Human Oversight

We design AI agents with human-in-the-loop (HITL) controls for high-stakes decisions. Our agents support human operators, not replace them. Critical actions require human approval.

1.2. Transparency

We are transparent about AI capabilities and limitations. Clients know when they are interacting with AI, and we clearly communicate what our agents can and cannot do.

1.3. Fairness and Non-Discrimination

We actively work to identify and mitigate bias in our AI systems. We test for disparate impacts across different demographic groups and adjust our models accordingly.

1.4. Privacy by Design

We minimize data collection and implement strong privacy protections. Client data is never used to train our foundation models without explicit consent.

1.5. Accountability

We take responsibility for our AI systems. We maintain clear documentation, implement monitoring, and provide channels for reporting concerns.

2. Prohibited Uses

We will not develop AI agents for:

  • Autonomous weapons systems
  • Mass surveillance without legal authorization
  • Social scoring systems that discriminate
  • Generating non-consensual deepfakes or deceptive content
  • Manipulating democratic processes

3. Data Isolation

Each client's AI agent operates in an isolated environment. We do not commingle client data or use one client's data to improve another client's system. This ensures privacy and prevents cross-contamination.

4. Evaluation and Testing

Before deployment, every AI agent undergoes rigorous testing:

  • Accuracy and performance metrics
  • Bias detection across protected classes
  • Adversarial testing for robustness
  • Human evaluation of outputs

5. Continuous Monitoring

Deployed agents are monitored for:

  • Performance degradation
  • Unexpected behaviors
  • User feedback and complaints
  • Drift in model accuracy

6. Incident Response

We maintain procedures to:

  • Quickly identify AI system failures
  • Implement fallback mechanisms
  • Notify affected parties
  • Learn from incidents to prevent recurrence

7. Industry Collaboration

We engage with the broader AI community to:

  • Share best practices
  • Contribute to ethical AI standards
  • Stay informed about emerging risks
  • Advocate for responsible AI regulation

8. Governance

Our AI ethics practices are overseen by senior leadership and reviewed regularly. We welcome feedback from clients, users, and the public.

9. Contact Us

To discuss our AI ethics practices or report concerns: