Our Principles

This document outlines the principles that guide our efforts to utilize technology and AI in solving important problems. Recognizing both the potential benefits and challenges associated with AI progress, we commit to following these principles in order to effectively execute Tailor's mission in a responsible and conscientious manner.

• Safeguard authenticity: We will avoid impersonating real individuals, ensuring the integrity and originality of the personalized media experiences we create.
• Champion truthfulness: We are dedicated to providing content based on accurate information and real-world events, combating the spread of misinformation and false narratives.
• Build lasting trust: We acknowledge the importance of trust in the media we generate and will consistently work towards maintaining the confidence of our users and partners.
• Celebrate diversity and fairness: By minimizing biases and embracing inclusivity, we ensure that our AI systems respect and represent the variety of our global audience.
• Ensure safety and dependability: Our commitment to thorough testing and ongoing refinement of our AI tools guarantees a secure and reliable media generation experience.
  
• Foster openness and responsibility: We pledge to be transparent about our AI development process and responsive to the needs and concerns of our users and stakeholders.
• Protect privacy and user data: We prioritize privacy by incorporating data protection into the design of our AI systems, diligently handling personal information and user data.
• Encourage ethical utilization: We actively promote responsible applications of our AI technology that align with our core values and contribute positively to society.
• Adapt and collaborate: We will continuously monitor our AI systems, engage with our users and the wider community, and evolve our strategies to enhance safety and effectiveness.
  
• Advance AI safety exploration: We will support and contribute to research efforts that tackle the unique trust and safety challenges in generative AI, fostering a safer AI landscape for all.