Asphalion’s AI ethic code
Our commitment to ethical development and use of Artificial Intelligence
1. Human Agency and Oversight
Our AI-based solutions will be supportive tools, complementing and not replacing human decision making in critical areas. Final decisions and Quality Control will be made by trained professionals, with AI providing data-driven recommendations.
2. Legal Compliance
We will only develop and use AI systems that comply with applicable laws and regulations, including guidelines established by agencies such as the EMA or FDA.
3. Social Welfare
We are committed to developing and using AI solutions with the primary objective of improving health in all our lives by ensuring access to safe and effective medicines.
4. Privacy and Security
We are committed to protecting data privacy and security by implementing robust cybersecurity measures and complying with data protection regulations. We recognize that health data is extremely sensitive and ensure its maximum protection, complying with regulations such as GDPR and other privacy standards.
5. Technical Robustness and Security
We will only use AI solutions that have been rigorously tested prior to deployment in production environments. We will strive to ensure that AI systems are robust and safe, avoiding errors that could affect public health.
6. Education and Training
We will encourage ongoing AI training for our staff and partners, ensuring that they are informed about their ethical challenges and how to address them.
7. Collaboration
We will actively seek cross-sector collaborations to share knowledge, best practices and address ethical challenges together. We will closely monitor policies of organizations and governments around the world to establish a global and coherent approach to the ethics and use of AI.
8. Responsible Innovation
We will innovate responsibly, considering the ethical, social and economic implications of AI solutions.
9. Ongoing Review
We will establish mechanisms to periodically review and update this ethical commitment, adapting to changes and advances in the field of AI and pharma, biotech and MedTech regulation.
