This chapter provides a comprehensive overview of responsible and explainable artificial intelligence (AI) in healthcare. It synthesizes discussions on the ethical and transparent integration of AI into healthcare delivery, emphasizing the need for ethical responsibility in AI systems. The chapter highlights existing challenges in the field while offering a forward-looking perspective on how AI can continue to revolutionize healthcare, ensuring both innovation and trust. It calls for a deeper understanding of AI’s role in healthcare, particularly in fostering transparency and accountability for broader adoption.
Takeaways:
- Responsible AI in healthcare is critical for ensuring transparency, accountability, and ethical alignment in AI-driven healthcare systems.
- Current challenges in AI implementation include the need for better explainability and overcoming biases in AI algorithms.
- The chapter envisions a future where AI systems in healthcare are fully explainable, fostering trust and broader adoption.
- A commitment to responsible AI will drive innovations that improve healthcare delivery, patient outcomes, and system efficiency.
- Ethical considerations must be at the forefront of AI development to mitigate risks and enhance the positive impact on global healthcare.
