The integration of blockchain technology with artificial intelligence (AI) has emerged as a transformative solution for addressing critical challenges in data management, security, and transparency, particularly within sensitive sectors such as healthcare. Blockchain’s inherent properties of decentralization, immutability, and transparency can significantly enhance the trustworthiness and accountability of AI-driven systems, fostering greater confidence in their decision-making processes. This chapter explores the role of blockchain in enhancing data integrity and traceability in AI workflows, with a particular focus on applications in healthcare. It examines how blockchain can prevent data fabrication in clinical trials, facilitate secure cross-border health data sharing, and provide a transparent audit trail for AI models, ensuring regulatory compliance and ethical standards.the potential of blockchain to mitigate concerns regarding data privacy and security in AI-driven healthcare systems was analyzed, highlighting its capacity to provide secure, traceable, and auditable records of AI system activities. Through a comprehensive exploration of these aspects, the chapter demonstrates the synergistic potential of blockchain and AI in revolutionizing healthcare data management and building trust in AI-driven decision-making systems.ÂÂÂ
The integration of blockchain technology into AI-driven systems presents a promising approach to overcoming the critical challenges related to data security, integrity, and transparency, especially in industries where sensitive information was handled [1]. The growing dependence on artificial intelligence for decision-making processes, particularly in healthcare, raises concerns regarding the trustworthiness of AI systems [2]. AI models, especially deep learning algorithms, often operate as 'black boxes,' making it difficult to understand how decisions are made and whether the underlying data was trustworthy [3]. Blockchain’s decentralized and immutable nature offers a potential solution by ensuring that AI systems are transparent, traceable, and accountable [4-5]. This chapter explores the synergy between blockchain and AI, focusing on how blockchain can enhance data integrity and transparency in AI workflows.
Blockchain technology has become increasingly important in addressing security and accountability issues within AI systems [6]. Its core feature, immutability, ensures that once data was recorded on the blockchain, it cannot be altered or tampered with [7]. This feature was particularly vital in sectors such as healthcare, where patient data must remain private, accurate, and secure [8]. In AI workflows, blockchain can be used to create a transparent record of every data transaction, model training step, and decision-making process, providing an audit trail that can be reviewed by stakeholders [9]. This transparency fosters trust, as users and regulators can confidently assess the integrity of the data and the AI system’s outputs [10].
The healthcare industry, which deals with vast amounts of sensitive patient data, can greatly benefit from blockchain integration [11]. In this sector, ensuring the privacy, security, and traceability of health records was paramount [12]. AI technologies, such as machine learning models for diagnostics or treatment recommendations, rely on accurate and high-quality data [13]. these models can be compromised if the data used to train them was fabricated, incomplete, or biased. Blockchain technology can prevent such issues by creating an immutable and verifiable record of the data sources, ensuring that the AI systems operate on trustworthy information [14]. This capability not only enhances the reliability of AI models but also builds trust in their applications in healthcare settings [15].
One of the significant challenges facing AI in healthcare was the issue of data fabrication in clinical trials and research [16]. The reliability of clinical trial data was critical for the development of new drugs, medical devices, and treatments [17]. the risk of data manipulation or falsification remains a significant concern. Blockchain can serve as a solution to this problem by offering a decentralized ledger that records every action taken during a clinical trial, from data collection to analysis and reporting [18]. This ensures that the integrity of the trial data was preserved and that the results are traceable, verifiable, and transparent [19]. By using blockchain to document every step in the research process, stakeholders can confidently rely on the authenticity of clinical trial results, thereby enhancing the credibility of the research [20].
