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Ethical and Regulatory Considerations of AI in Drug Discovery

The adoption of AI in drug discovery raises important ethical and regulatory questions. Transparency, accountability, and fairness are key considerations.

Regulators require explainable AI models to ensure decisions are scientifically sound. Developers must also address data bias to avoid inequitable outcomes.

Strong governance frameworks and collaboration between stakeholders are essential for responsible AI use.

Ethical AI practices will build trust and support sustainable innovation.

➤➤➤ Reference - https://www.marketresearchfuture.com/reports/ai-drug-discovery-market-9393
Ethical and Regulatory Considerations of AI in Drug Discovery The adoption of AI in drug discovery raises important ethical and regulatory questions. Transparency, accountability, and fairness are key considerations. Regulators require explainable AI models to ensure decisions are scientifically sound. Developers must also address data bias to avoid inequitable outcomes. Strong governance frameworks and collaboration between stakeholders are essential for responsible AI use. Ethical AI practices will build trust and support sustainable innovation. ➤➤➤ Reference - https://www.marketresearchfuture.com/reports/ai-drug-discovery-market-9393
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AI in Drug Discovery Market Size, Share, Trends, Report 2035
Artificial Intelligence (AI) in Drug Discovery Market is grow from 1.17 USD Bn in 2025 to 11.82 USD Bn by 2035, With CAGR of 26.0% during 2025 - 2035
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