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Ensuring the Safe and Ethical Use of AI in Cancer Care

AI Safety at CurePilot

Our AI Safety Principles

Transparency

We strive for transparency in our AI algorithms, clearly explaining their functionality, limitations, and decision-making processes to users. This enables healthcare professionals to make informed decisions based on our AI-driven recommendations and ensures patients understand the basis of their personalized treatment plans.

Robustness & Reliability

Our AI algorithms undergo rigorous testing and validation, ensuring they are robust and reliable in delivering accurate and actionable insights. We continuously update our algorithms with the latest research and advancements in genomics and cancer care, maintaining their relevance and effectiveness.

Collaborative Approach to AI Safety

CurePilot is committed to collaborating with the broader AI and healthcare communities to share best practices, contribute to the development of AI safety standards, and address emerging challenges in AI safety and ethics.

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Accountability & Governance

We take full responsibility for the performance and impact of our AI algorithms and maintain robust governance structures to oversee AI safety