Fair and Accountable AI in Healthcare: Building Trustworthy Models for Decision-Making and Regulatory Compliance

While this research aims for mitigating bias, regulation, accountability and transparency in fair and accountable AI in healthcare, these can be extended to other health contexts.It presents the evaluation of frameworks, tools and practices towards increasing trustworthiness of AI based clinical decision making.Leads to the finding that responsible development, infrastructure resilience and continuous auditing are required to adopt ethical and compliant AI development.