Responsible and Explainable AI in Healthcare: Ethics and Transparency at the Intersection
Dr. Akansha Singh, Bennett University ,Greater Noida, India. Email: akanshasing@gmail.com
Dr. Krishna Kant Singh, Director (Academics), Delhi Technical Campus, Greater Noida, India.
Dr. Ivan Izonin, Lviv Polytechnic National University, Ukrainei Technical Campus, Ukraine
Artificial Intelligence (AI) has been rapidly transforming the landscape of healthcare, offering tremendous potential for improving diagnosis, treatment, and patient care. However, with great power comes great responsibility. Ethical considerations and transparency in AI healthcare applications are paramount. This edited volume seeks to explore the critical intersection of AI, ethics, and transparency within the healthcare domain.
For this new book volume, We welcome chapters on following topics:
Introduction to AI in Healthcare and Its Ethical Implications
The Importance of Explainability and Transparency in AI
Designing Transparent and Accountable AI Systems for Healthcare
Ensuring Fairness and Mitigating Bias in Healthcare AI Systems
Privacy and Security Considerations for Healthcare AI Systems
Legal and Regulatory Issues Related to AI in Healthcare
Case Studies in Responsible and Explainable AI in Healthcare
Bias and fairness in AI healthcare applications.
Explainable AI techniques for healthcare.
Privacy and security concerns in healthcare AI.
Regulatory and legal frameworks for responsible AI in healthcare.
Case studies and real-world applications of ethical AI in healthcare.
Patient and healthcare provider perspectives on AI adoption.
AI and the doctor-patient relationship.
Ethical implications of AI in telemedicine and remote healthcare.
Full Chapter Submission: 30th Oct 2023
Final Acceptance/Rejection Notification: 20th Nov 2023
We invite researchers, practitioners, and scholars to submit original chapters that contribute to the understanding of generative and responsive AI in creative applications. Chapters should be well-researched, grounded in academic literature, and present insightful analyses. Practical examples, case studies, and ethical considerations are encouraged to enrich the discussions.
The minimum length of the chapter should not be less than 20-25 pages (7,000 to 10,000 words).
The full chapter includes Title of paper, Authors Name, Authors affiliations, email ID, Corresponding author details, department, Authors Bio, etc. with (Font Size 12, Font Style: Times New Roman, Line Space: 1 Point, Headings: 12+Bold) with APA reference style.
All submitted chapters will be reviewed on a double-blind review basis.
There is no fee for inclusion of a chapter. Any queries or issues can be addressed to akanshasing@gmail.com