Towards a Governance Framework for Generative AI in Drug Discovery: Ethical, Regulatory, and Practical Challenges

Imran Nasim, Adam Nasim

Keywords: healthcare, drug discovery, pharmaceuticals, Generative AI

Abstract: Generative AI technologies are revolutionizing drug discovery by accelerating the design of novel compounds, optimizing molecular interactions, and simulating clinical trials. These advancements promise to reduce the time and cost of drug development significantly. However, generative AI also introduces unique governance challenges, including ethical risks, regulatory compliance, and operational transparency. Evolving governance policies present challenges for deploying these technologies effectively. This work examines these developments and proposes a comprehensive governance framework tailored for the responsible deployment of generative AI frameworks in drug discovery.

Submission Number: 8