"We prioritize safety and uphold our ethical responsibility to ensure our AI products have a positive impact on society."

Ta Anh, CEO & Founder at Arcanic AI

"We prioritize safety and uphold our ethical responsibility to ensure our AI products have a positive impact on society."

Ta Anh, CEO & Founder at Arcanic AI

Commitment to AI safety

We are committed to developing and deploying AI models in a safe, ethical, and responsible manner. We conduct regular safety assessments, implement risk evaluation procedures, and integrate automated monitoring mechanisms to ensure AI operates transparently and effectively. Ensuring AI functions transparently and prioritizing user safety is our top priority.

AI safety principles

  • Risk Mitigation: Conduct safety tests and risk assessments before deployment.

  • Fairness & Non-Discrimination: Ensure AI models operate without bias or discrimination. We apply periodic evaluations to detect and minimize bias while using diverse datasets to train models fairly.

  • Privacy & Security: Customer data is strictly encrypted and protected.

  • Accountability & Transparency: Provide clear information on AI’s operational principles.

Safe practices

  • Monitoring & Updates: AI is continuously monitored, maintained, and upgraded to enhance safety.

  • Content Filtering: Ensure harmful content is eliminated from the platform. We use content detection algorithms and automated moderation systems to identify and prevent policy violations.

Privacy & Security

  • Data Encryption: All stored data is encrypted using AES-256, while transmitted data is protected by TLS 1.2+.

  • Access Control: Data access is restricted based on the principle of necessity.

Enterprise Support

  • Usage Guidelines: Provide safety policies and guidelines for integrating AI into businesses. We offer detailed documentation, including deployment processes, security standards, and risk control measures to help businesses use AI safely and effectively.

  • Enterprise Data Protection: Commit to safeguarding business data and ensuring it is not used for AI training.

  • Customizable Solutions: Support businesses in customizing and controlling AI deployment. Companies can adjust model parameters, set monitoring levels, manage input data, and tailor content filters to meet their specific needs.