IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v15y2023i3p97-d1083303.html
   My bibliography  Save this article

Integrating a Blockchain-Based Governance Framework for Responsible AI

Author

Listed:
  • Rameez Asif

    (School of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK)

  • Syed Raheel Hassan

    (School of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK)

  • Gerard Parr

    (School of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK)

Abstract

This research paper reviews the potential of smart contracts for responsible AI with a focus on frameworks, hardware, energy efficiency, and cyberattacks. Smart contracts are digital agreements that are executed by a blockchain, and they have the potential to revolutionize the way we conduct business by increasing transparency and trust. When it comes to responsible AI systems, smart contracts can play a crucial role in ensuring that the terms and conditions of the contract are fair and transparent as well as that any automated decision-making is explainable and auditable. Furthermore, the energy consumption of blockchain networks has been a matter of concern; this article explores the energy efficiency element of smart contracts. Energy efficiency in smart contracts may be enhanced by the use of techniques such as off-chain processing and sharding. The study emphasises the need for careful auditing and testing of smart contract code in order to protect against cyberattacks along with the use of secure libraries and frameworks to lessen the likelihood of smart contract vulnerabilities.

Suggested Citation

  • Rameez Asif & Syed Raheel Hassan & Gerard Parr, 2023. "Integrating a Blockchain-Based Governance Framework for Responsible AI," Future Internet, MDPI, vol. 15(3), pages 1-21, February.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:3:p:97-:d:1083303
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/15/3/97/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/15/3/97/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simon Wong & John-Kun-Woon Yeung & Yui-Yip Lau & Joseph So, 2021. "Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management," Sustainability, MDPI, vol. 13(15), pages 1-20, July.
    2. Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    3. Lee Thomas & Yue Zhou & Chao Long & Jianzhong Wu & Nick Jenkins, 2019. "A general form of smart contract for decentralized energy systems management," Nature Energy, Nature, vol. 4(2), pages 140-149, February.
    4. Asma Khatoon & Piyush Verma & Jo Southernwood & Beth Massey & Peter Corcoran, 2019. "Blockchain in Energy Efficiency: Potential Applications and Benefits," Energies, MDPI, vol. 12(17), pages 1-14, August.
    5. Trent McConaghy, 2022. "Ocean Protocol: Tools for the Web3 Data Economy," Springer Optimization and Its Applications, in: Duc A. Tran & My T. Thai & Bhaskar Krishnamachari (ed.), Handbook on Blockchain, pages 505-539, Springer.
    6. Rosario Girasa, 2018. "Regulation of Cryptocurrencies and Blockchain Technologies," Palgrave Studies in Financial Services Technology, Palgrave Macmillan, number 978-3-319-78509-7, December.
    7. Rosario Girasa, 2018. "Legal Issues of Digital Technology," Palgrave Studies in Financial Services Technology, in: Regulation of Cryptocurrencies and Blockchain Technologies, pages 57-69, Palgrave Macmillan.
    8. Huanliang Xiong & Muxi Chen & Canghai Wu & Yingding Zhao & Wenlong Yi, 2022. "Research on Progress of Blockchain Consensus Algorithm: A Review on Recent Progress of Blockchain Consensus Algorithms," Future Internet, MDPI, vol. 14(2), pages 1-24, January.
    9. Konstantinos Sgantzos & Ian Grigg, 2019. "Artificial Intelligence Implementations on the Blockchain. Use Cases and Future Applications," Future Internet, MDPI, vol. 11(8), pages 1-15, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vincent Charles & Ali Emrouznejad & Tatiana Gherman, 2023. "A critical analysis of the integration of blockchain and artificial intelligence for supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 7-47, August.
    2. Kirli, Desen & Couraud, Benoit & Robu, Valentin & Salgado-Bravo, Marcelo & Norbu, Sonam & Andoni, Merlinda & Antonopoulos, Ioannis & Negrete-Pincetic, Matias & Flynn, David & Kiprakis, Aristides, 2022. "Smart contracts in energy systems: A systematic review of fundamental approaches and implementations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    3. Usman W. Chohan, 2021. "Oversight and Regulation of Cryptocurrencies: BitLicense," World Scientific Book Chapters, in: Stéphane Goutte & Khaled Guesmi & Samir Saadi (ed.), Cryptofinance A New Currency for a New Economy, chapter 6, pages 105-120, World Scientific Publishing Co. Pte. Ltd..
    4. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    5. Liu, Jicheng & Sun, Jiakang & Yuan, Hanying & Su, Yihan & Feng, Shuxian & Lu, Chaoran, 2022. "Behavior analysis of photovoltaic-storage-use value chain game evolution in blockchain environment," Energy, Elsevier, vol. 260(C).
    6. Tan Yigitcanlar & Kevin C. Desouza & Luke Butler & Farnoosh Roozkhosh, 2020. "Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature," Energies, MDPI, vol. 13(6), pages 1-38, March.
    7. Lefeng, Shi & Shengnan, Lv & Chunxiu, Liu & Yue, Zhou & Cipcigan, Liana & Acker, Thomas L., 2020. "A framework for electric vehicle power supply chain development," Utilities Policy, Elsevier, vol. 64(C).
    8. Guo, Qiaozhen & He, Qiao-Chu & Chen, Ying-Ju & Huang, Wei, 2021. "Poverty mitigation via solar panel adoption: Smart contracts and targeted subsidy design," Omega, Elsevier, vol. 102(C).
    9. Muen Uddin & Shitharth Selvarajan & Muath Obaidat & Shams Ul Arfeen & Alaa O. Khadidos & Adil O. Khadidos & Maha Abdelhaq, 2023. "From Hype to Reality: Unveiling the Promises, Challenges and Opportunities of Blockchain in Supply Chain Systems," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    10. Mehdinejad, Mehdi & Shayanfar, Heidarali & Mohammadi-Ivatloo, Behnam, 2022. "Decentralized blockchain-based peer-to-peer energy-backed token trading for active prosumers," Energy, Elsevier, vol. 244(PA).
    11. Yuki Matsuda & Yuto Yamazaki & Hiromu Oki & Yasuhiro Takeda & Daishi Sagawa & Kenji Tanaka, 2021. "Demonstration of Blockchain Based Peer to Peer Energy Trading System with Real-Life Used PHEV and HEMS Charge Control," Energies, MDPI, vol. 14(22), pages 1-12, November.
    12. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    13. Robert Karaszewski & Paweł Modrzyński & Joanna Modrzyńska, 2021. "The Use of Blockchain Technology in Public Sector Entities Management: An Example of Security and Energy Efficiency in Cloud Computing Data Processing," Energies, MDPI, vol. 14(7), pages 1-19, March.
    14. Corbo, Leonardo & Kraus, Sascha & Vlačić, Božidar & Dabić, Marina & Caputo, Andrea & Pellegrini, Massimiliano M., 2023. "Coopetition and innovation: A review and research agenda," Technovation, Elsevier, vol. 122(C).
    15. Trocin, Cristina & Hovland, Ingrid Våge & Mikalef, Patrick & Dremel, Christian, 2021. "How Artificial Intelligence affords digital innovation: A cross-case analysis of Scandinavian companies," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    16. Han, Dong & Zhang, Chengzhenghao & Ping, Jian & Yan, Zheng, 2020. "Smart contract architecture for decentralized energy trading and management based on blockchains," Energy, Elsevier, vol. 199(C).
    17. Swikriti Khadke & Pragya Gupta & Shanmukh Rachakunta & Chandreswar Mahata & Suma Dawn & Mohit Sharma & Deepak Verma & Aniruddha Pradhan & Ambati Mounika Sai Krishna & Seeram Ramakrishna & Sabyasachi C, 2021. "Efficient Plastic Recycling and Remolding Circular Economy Using the Technology of Trust–Blockchain," Sustainability, MDPI, vol. 13(16), pages 1-15, August.
    18. Arias-Pérez, José & Vélez-Jaramillo, Juan, 2022. "Ignoring the three-way interaction of digital orientation, Not-invented-here syndrome and employee's artificial intelligence awareness in digital innovation performance: A recipe for failure," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    19. Gourisetti, Sri Nikhil Gupta & Sebastian-Cardenas, D. Jonathan & Bhattarai, Bishnu & Wang, Peng & Widergren, Steve & Borkum, Mark & Randall, Alysha, 2021. "Blockchain smart contract reference framework and program logic architecture for transactive energy systems," Applied Energy, Elsevier, vol. 304(C).
    20. Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:15:y:2023:i:3:p:97-:d:1083303. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.