Towards the ethical development of functional genomics research

Area of Science:

• Genomics
• Bioinformatics
• Artificial Intelligence

Background:

• Functional genomics research increasingly integrates high-throughput experimental technologies with computational approaches.
• The rapid advancement of artificial intelligence (AI) presents novel opportunities and challenges in biological research.

Purpose of the Study:

• To highlight the ethical considerations pertinent to the early stages of the artificial intelligence (AI) lifecycle within functional genomics research.
• To emphasize the importance of proactively addressing ethical issues in AI development to prevent downstream healthcare complications.

Main Methods:

• Literature review and conceptual analysis of ethical frameworks in AI and genomics.
• Examination of potential ethical pitfalls in AI applications at the bench science level.

Main Results:

• Ethical issues in early-stage AI development for functional genomics are under-examined.
• Proactive ethical evaluation can significantly reduce future healthcare-related challenges.

Conclusions:

• Addressing ethical concerns at the inception of AI in functional genomics is essential.
• Early ethical examination is a critical component for responsible innovation in AI-driven healthcare solutions.