Blockchain, Artificial Intelligence, and Future Research

Aims & Scope

Blockchain, Artificial Intelligence, and Future Research (BAFR) is a peer-reviewed journal dedicated to publishing high-quality research in blockchain technology, artificial intelligence (AI), and emerging trends in future digital innovations. BAFR welcomes diverse contributions, such as theoretical analyses, empirical studies, case studies, experiments, and conceptual model developments, to foster academic discourse and technological advancements. All articles are freely accessible online, ensuring open access without subscription barriers to support global knowledge dissemination. The journal focuses on exploring the impact of these technologies on industry relations, human-computer interaction (HCI), and their broader implications for innovation, ethics, and societal transformation. It welcomes empirical studies, theoretical papers, and applied research that examine the role of blockchain and AI in shaping business practices, enhancing user experiences, and fostering sustainable technological development. The journal invites contributions from researchers, practitioners, and policymakers working in blockchain, AI, HCI, industry relations, and related fields, aiming to provide insights that guide the future of these technologies across industries and society. Blockchain, Artificial Intelligence, and Future Research Journal (BAFR) publishes research on blockchain technology, artificial intelligence (AI), and their relevance to various fields, including Industry, Finance, Healthcare, Education, Security, and Policy. The journal covers the following areas: Blockchain Technology Blockchain architecture and protocols: Exploring the foundational structures of blockchain and how decentralized systems impact various sectors. Smart contracts and decentralized applications (DApps): Investigating the role of blockchain-based applications in enhancing transparency, automation, and security. Security and privacy in blockchain: Analyzing the challenges and solutions in securing data and maintaining privacy within blockchain environments. Artificial Intelligence (AI) AI algorithms and models: Examining the development and application of AI models in solving complex real-world problems across industries. Machine learning and deep learning: Exploring the advancements in machine learning techniques and deep learning models that power AI innovations. AI in decision-making: Investigating how AI technologies are transforming decision-making processes in various sectors, from healthcare to business. Ethics and policies in AI: Analyzing the ethical considerations, challenges, and policy frameworks in the deployment of AI technologies. Future Research Directions in Industry, Finance, Healthcare, Education, Security, and Policy Industry: Studying the integration of AI and blockchain into various industries, focusing on automation, decision-making, and the creation of efficient, transparent, and secure business processes. Finance and Banking: Analyzing the role of blockchain in reshaping financial systems, enhancing financial security, and increasing access to financial services in banking. Healthcare: Exploring how AI and blockchain can enhance patient care, streamline healthcare systems, improve accessibility, and maintain privacy in healthcare. Education: Investigating how blockchain and AI can create new models of personalized education, lifelong learning platforms, and equitable access to resources in education, preparing learners for the future workforce. Security: Exploring how AI and blockchain can transform cybersecurity, data protection, and privacy in the digital age. Policy: Examining how the development and adoption of AI and blockchain technologies will influence public policy and governance. This includes understanding the ethical, legal, and regulatory frameworks required to manage these technologies, ensuring fairness, accountability, and transparency in their use. Research may also explore the creation of policies that promote equitable access to technology, mitigate risks associated with automation and digital transformation, and safeguard individual rights in an increasingly digital world.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification