THE CONVERGENCE OF BLOCKCHAIN AND AI – DECENTRALIZED INTELLIGENCE
Keywords:
Blockchain, AI, autonomous systemsAbstract
The digital age has seen the rise of two transformative technologies: blockchain and artificial intelligence (AI). Individually, they have reshaped industries, changed how data is managed, and revolutionized decision-making processes. However, the convergence of these two groundbreaking technologies is poised to create even greater disruption. Blockchain, with its decentralized and secure architecture, and AI, with its capability for learning and prediction, are increasingly being seen as complementary forces. Together, they open the door to a new era of decentralized intelligence, where the integrity and transparency of data meet the computational power of autonomous systems.
References
Bhunia, P., & Goyal, S. (2021). Blockchain and Artificial Intelligence: Opportunities and Challenges in Convergence. Journal of Emerging Technologies and Innovative Research, 8(7), 345–352.
Verma, S., & Agrawal, R. (2020). Blockchain for AI: Decentralized Intelligence. International Journal of Information Management, 54, 102199. doi:10.1016/j.ijinfomgt.2020.102199
Salah, K., et al. (2019). Blockchain for AI: Review and Open Research Challenges. IEEE Access, 7, 10127–10149. doi:10.1109/ACCESS.2019.2891983
He, Y., et al. (2021). A Survey on Blockchain Technology and AI Convergence. Journal of Blockchain Research and Development, 3(1), 1–15.
Miller, J., & Smith, T. (2018). AI and Blockchain: How They Work Together for Data Integrity. Tech Journal. Retrieved from https://techjournal.ai
European Union Blockchain Observatory and Forum. (2019). Blockchain and Artificial Intelligence: Unlocking the Potential of AI and Blockchain Together. Retrieved from https://www.eublockchainforum.eu
Rao, S., & Srivastava, P. (2020). Decentralized Data Privacy Through Blockchain and AI. Journal of Data Privacy and Ethics, 5(2), 78–89.
IEEE Future Directions. (2022). Blockchain and Artificial Intelligence: Opportunities for Decentralized Applications. Retrieved from https://future.ieee.org
Cambridge Centre for Alternative Finance. (2021). Blockchain’s Potential in AI Systems: Trust, Privacy, and Innovation. Retrieved from https://ccaf.io
Koulu, R. (2020). Blockchain and Governance in AI: Exploring Ethical Implications. AI Ethics Journal, 10(3), 245–259.
IBM Research. (2021). AI and Blockchain: Building Trust in a Decentralized World. Retrieved from https://www.ibm.com/research
Chen, J., et al. (2022). Blockchain-Based Solutions for AI Transparency and Accountability. Future Generation Computer Systems, 135, 148–159. doi:10.1016/j.future.2022.02.012
World Economic Forum. (2021). The Role of Blockchain in Enabling Ethical AI. Retrieved from https://www.weforum.org
Xu, X., et al. (2022). Applications of AI and Blockchain in Decentralized Systems. ACM Computing Surveys, 54(8), 1–34. doi:10.1145/3456789
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