
Artificial intelligence (AI) at Sanofi

Our approach to using AI to add value to healthcare
At Sanofi, our goal is to become the first biopharma company powered by AI at scale. To achieve this, we’re investing where it counts, in AI that enhances the work of our teams and allows them to focus on what matters most, including:
Shortening the diagnostic journey
Improving both public health and the standard of care for diseases
Accelerating research and development for patients
Gathering real-world evidence
Validating or discovering digital biomarkers
We invest in AI that makes a difference for our people, patients, payers, and other important partners, looking for ways to make systems more efficient and cost effective.
AI can impact how we discover, develop, and deliver therapies. It can help us provide better care at lower cost and empower people to manage their disease. At Sanofi, we are dedicated to science, innovation, and value and take special care to help patients access the medicines they need.
Responsible AI at Sanofi is guided by 5 key principles:
Accountable to outcomes
Our overarching commitment is that we hold ourselves accountable throughout the entirety of the AI system life cycle, based on our Responsible AI Guiding Principles. We will adhere to all associated risk- based controls at all stages of the AI life cycle from design, development, and deployment through to use.
Fair and ethical
We will design, develop, deploy, and use AI in such ways that we prevent bias and uphold fundamental human rights, which include human-centered values, especially respect for privacy, data protection, non-discrimination, autonomy, and justice. We will adhere to existing laws surrounding these ethical values and we will take into account how our AI systems impact the world around us, both directly and indirectly.
Robust and safe
We will design, develop, deploy, and use AI systems so that they do not cause harm to users. We strive to make our AI systems accurate, adaptable, secure, and reliable from the outset.
Transparent and explainable
We will communicate when and how our AI systems are used and their limitations. We will provide opportunities for end-users to question, reject, and understand AI system outputs wherever possible. We will incorporate end-user and stakeholder feedback to improve our AI systems.
Eco-responsible
We will design our AI systems to minimize their environmental footprint.
We recognize the importance of exploring AI in a conscientious manner to balance innovation with the right level of risk management. These guiding principles help ensure that our development and use of AI is done responsibly and in accordance with our values.
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