EthicalGuard is a software platform that acts as a middleware between AI models used in drug discovery and the regulatory frameworks governing them.

It provides a suite of tools for ethical compliance, which includes a dynamic rule engine for algorithmic transparency, bias detection modules, and real-time privacy audits.

The platform is designed to be customizable, allowing pharmaceutical companies to tailor the ethical guidelines to their specific needs while maintaining compliance with evolving regulations.

It facilitates the logging of decision-making processes, ensuring traceability and accountability.

Additionally, EthicalGuard incorporates a learning mechanism to update guidelines based on new regulatory changes and ethical standards, providing a future-proof solution.

The platform proactively integrates ethical considerations into the AI development cycle, contrasting with existing reactive measures.

It ensures transparency, reduces compliance-related delays and costs, and builds public trust by demonstrating a commitment to ethical AI applications in drug discovery.

The technical feasibility is based on existing technologies like AI auditing tools and modular compliance systems already being used in various sectors.

Initial development costs involve creating adaptable frameworks and testing for regulatory adaptability, which may require seed funding.

The competitive landscape includes regulatory technology (RegTech) solutions, but EthicalGuard's AI specialization offers a niche focus in drug discovery.