Toward Trustworthy AI: Frameworks for Ethical Compliance and Auditable Machine Learning
DOI:
https://doi.org/10.15662/IJARCST.2021.0406013Keywords:
Trustworthy AI, Ethical Compliance, Auditable Machine Learning, Algorithmic Fairness, Explainable AI (XAI), Accountability, Transparency, AI Governance, Responsible AI, Ethical FrameworksAbstract
As artificial intelligence (AI) systems become increasingly embedded in critical societal domains—ranging from healthcare and finance to law enforcement and public policy—the call for trustworthy, transparent, and ethically aligned AI has never been more urgent. Despite remarkable advancements in algorithmic capabilities, the challenges of ensuring ethical compliance, accountability, and fairness persist. This research paper, “Toward Trustworthy AI: Frameworks for Ethical Compliance and Auditable Machine Learning,” explores the theoretical foundations, practical frameworks, and technological enablers for constructing AI systems that are not only high-performing but also ethically sound and auditable throughout their lifecycle.
The paper begins by examining the core dimensions of AI trustworthiness, including fairness, transparency, explainability, privacy, robustness, and accountability. It highlights how the lack of standardized ethical guidelines and insufficient interpretability mechanisms have led to mistrust in AI-driven decision-making. The study then surveys current ethical AI frameworks, such as the EU’s Ethics Guidelines for Trustworthy AI, IEEE’s Ethically Aligned Design, and the OECD AI Principles, analyzing their limitations in ensuring real-world compliance. Through this review, the paper identifies the need for an integrated ethical compliance framework that bridges the gap between regulatory intent and technical implementation.
References
1. Kodela, V. (2018). A Comparative Study Of Zero Trust Security Implementations Across Multi-Cloud Environments: Aws And Azure. Int. J. Commun. Networks Inf. Secur.
2. Nandhan, T. N. G., Sajjan, M., Keshamma, E., Raghuramulu, Y., & Naidu, R. (2005). Evaluation of Chinese made moisture meters.
3. Gopinandhan, T. N., Keshamma, E., Velmourougane, K., & Raghuramulu, Y. (2006). Coffee husk-a potential source of ochratoxin A contamination.
4. Keshamma, E., Rohini, S., Rao, K. S., Madhusudhan, B., & Udaya Kumar, M. (2008). In planta transformation strategy: an Agrobacterium tumefaciens-mediated gene transfer method to overcome recalcitrance in cotton (Gossypium hirsutum L.). J Cotton Sci, 12, 264-272.
5. Geetha, D., Kavitha, V., Manikandan, G., & Karunkuzhali, D. (2021, July). Enhancement and Development of Next Generation Data Mining Photolithographic Mechanism. In Journal of Physics: Conference Series (Vol. 1964, No. 4, p. 042092). IOP Publishing.
6. Manikandan, G., & Srinivasan, S. (2012). Traffic control by bluetooth enabled mobile phone. International Journal of Computer and Communication Engineering, 1(1), 66.
7. Bhuvneswari, G., and G. Manikandan. "Recognition of ancient stone inscription characters using histogram of oriented gradients." Proceedings of International Conference on Recent Trends in Computing, Communication & Networking Technologies (ICRTCCNT). 2019.
8. Nagar, H., & Menaria, A. K. Compositions of the Generalized Operator (????????, ????, ????, ????; ???? ????)(????) and their Application.
9. Nagar, H., & Menaria, A. K. On Generalized Function Gρ, η, γ [a, z] And It’s Fractional Calculus.
10. Singh, R., & Menaria, A. K. (2014). Initial-Boundary Value Problems of Fokas’ Transform Method. Journal of Ramanujan Society of Mathematics and Mathematical Sciences, 3(01), 31-36.
11. Nagar, H., Menaria, A. K., & Tripathi, A. K. (2014). The K-function and the Operators of Riemann-Liouville Fractional Calculus. Journal of Computer and Mathematical Sciences Vol, 5(1), 1-122.
12. Anuj Arora, “Evaluating Ethical Challenges in Generative AI Development and Responsible Usage Guidelines”, INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING, VOL. 5 ISSUE 4 OCT.-DEC. 2017.
13. Anuj Arora, “UNDERSTANDING THE SECURITY IMPLICATIONS OF GENERATIVE AI IN SENSITIVE DATA APPLICATIONS”, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR), , VOLUME-3, ISSUE-1, 2016.
14. Anuj Arora, “Future Trends in Generative AI: Innovations, Opportunities, and Industry Adoption Strategies”, THE RESEARCH JOURNAL, VOL. 2 ISSUE 4 JULY-AUG 2016.
15. Anuj Arora, “Developing Generative AI Models That Comply with Privacy Regulations and Ethical Principles”, INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING, VOL. 3 ISSUE 2 APR-JUNE 2015.
16. Anuj Arora, “THE IMPACT OF GENERATIVE AI ON WORKFORCE PRODUCTIVITY AND CREATIVE PROBLEM SOLVING”, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR), VOLUME-2, ISSUE-8, 2015.
17. Anuj Arora, “Securing Multi-Cloud Architectures Using Advanced Cloud Security Management Tools”, INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING, VOL. 7 ISSUE 2 (APRIL- JUNE 2019).
18. Anuj Arora, “Analyzing Best Practices and Strategies for Encrypting Data at Rest (Stored) and Data in Transit (Transmitted) in Cloud Environments”, “INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING”, VOL. 6 ISSUE 4 ( OCTOBER- DECEMBER 2018).
19. Aryendra Dalal, “Maximizing Business Value through Artificial Intelligence and Machine Learning in SAP Platforms”, International Journal of Research in Electronics AND Computer Engineering (IJRECE), VOL. 7 ISSUE 4 OCT.-DEC 2019
20. Aryendra Dalal, “Revolutionizing Enterprise Data Management Using SAP HANA for Improved Performance and Scalability”, TRJ VOL. 5 ISSUE 1 JAN-FEB 2019
21. Aryendra Dalal, “UTILIZING SAP CLOUD SOLUTIONS FOR STREAMLINED COLLABORATION AND SCALABLE BUSINESS PROCESS MANAGEMENT”, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR), VOLUME-6, ISSUE-6, 2019
22. Aryendra Dalal, “Driving Business Transformation through Scalable and Secure Cloud Computing Infrastructure Solutions”, The Research Journa,l VOL. 4 ISSUE 4-5 JULY-DEC 2018.
23. Aryendra Dalal, “LEVERAGING CLOUD COMPUTING TO ACCELERATE DIGITAL TRANSFORMATION ACROSS DIVERSE BUSINESS ECOSYSTEMS”, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR), VOLUME-5, ISSUE-5, 2018
24. Aryendra Dalal, “Exploring Emerging Trends in Cloud Computing and Their Impact on Enterprise Innovation”, International Journal of Research in Electronics AND Computer Engineering (IJRECE), VOL. 5 ISSUE 1 JAN.-MAR. 2017.
25. Aryendra Dalal, “DEVELOPING SCALABLE APPLICATIONS THROUGH ADVANCED SERVERLESS ARCHITECTURES IN CLOUD ECOSYSTEMS, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR), VOLUME-4, ISSUE-10, 2017.
26. Hardial Singh, “ENHANCING CLOUD SECURITY POSTURE WITH AI-DRIVEN THREAT DETECTION AND RESPONSE MECHANISMS”, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR), VOLUME-6, ISSUE-2, 2019.
27. Hardial Singh, “The Impact of Advancements in Artificial Intelligence on Autonomous Vehicles and Modern Transportation Systems”, INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING, VOL. 7 ISSUE 1 (JANUARY- MARCH 2019).
28. Hardial Singh, “The Role of Multi-Factor Authentication and Encryption in Securing Data Access of Cloud Resources in a Multitenant Environment”, THE RESEARCH JOURNAL (TRJ), VOL. 4 ISSUE 4-5 JULY-OCT 2018.
29. Hardial Singh, “STRATEGIES TO BALANCE SCALABILITY AND SECURITY IN CLOUD-NATIVE APPLICATION DEVELOPMENT”, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR), VOLUME-2, ISSUE-8, 2018.
30. Hardial Singh, “Key Cloud Security Challenges for Organizations Embracing Digital Transformation Initiatives”,THE RESEARCH JOURNAL (TRJ), VOL. 3 ISSUE6NOV-DEC2017.
31. Hardial Singh, “Leveraging Cloud Security Audits for Identifying Gaps and Ensuring Compliance with Industry Regulations”, INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING, VOL. 5 ISSUE 3 JULY.-SEPT. 2017.
32. Hardial Singh, “THE FUTURE OF GENERATIVE AI: OPPORTUNITIES, CHALLENGES, AND INDUSTRY DISRUPTION POTENTIAL”, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR), VOLUME-2, ISSUE-3, 2016.
33. Baljeet Singh, “ENHANCING REAL-TIME DATABASE SECURITY MONITORING CAPABILITIES USING ARTIFICIAL INTELLIGENCE”, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR), VOLUME-4, ISSUE-7, 2017.
34. Baljeet Singh, “The Role of Artificial Intelligence in Modern Database Security and Protection”, INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING, VOL. 5 ISSUE 4 OCT.-DEC. 2017
35. Baljeet Singh, “PROTECTING CLOUD DATABASES WITH ADVANCED ENCRYPTION AND ACCESS MANAGEMENT TOOLS”, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR), VOLUME-3, ISSUE-9, 2016.
36. Baljeet Singh, “Database Security Audits: Identifying and Fixing Vulnerabilities before Breaches”, THE RESEARCH JOURNAL, VOL. 2 ISSUE 1 JAN-FEB 2016.
37. Baljeet Singh, “CYBER SECURITY FOR DATABASES: ADVANCED STRATEGIES FOR THREAT DETECTION AND RESPONSE”, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR), VOLUME-2, ISSUE-8, 2015.
38. Baljeet Singh, “Ensuring Data Integrity and Availability with Robust Database Security Protocols”, INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING, VOL. 3 ISSUE 1 JAN-MAR 2015.
39. Patchamatla, P. S. (2020). Comparison of virtualization models in OpenStack. International Journal of Multidisciplinary Research in Science, Engineering and Technology, 3(03).
40. Patchamatla, P. S., & Owolabi, I. O. (2020). Integrating serverless computing and kubernetes in OpenStack for dynamic AI workflow optimization. International Journal of Multidisciplinary Research in Science, Engineering and Technology, 1, 12.
41. Patchamatla, P. S. S. (2019). Comparison of Docker Containers and Virtual Machines in Cloud Environments. Available at SSRN 5180111.
42. Patchamatla, P. S. S. (2021). Implementing Scalable CI/CD Pipelines for Machine Learning on Kubernetes. International Journal of Multidisciplinary and Scientific Emerging Research, 9(03), 10-15662.
43. Thepa, P. C., & Luc, L. C. (2017). The role of Buddhist temple towards the society. International Journal of Multidisciplinary Educational Research, 6(12[3]), 70–77.
44. Thepa, P. C. A. (2019). Niravana: the world is not born of cause. International Journal of Research, 6(2), 600-606.
45. Thepa, P. C. (2019). Buddhism in Thailand: Role of Wat toward society in the period of Sukhothai till early Ratanakosin 1238–1910 A.D. International Journal of Research and Analytical Reviews, 6(2), 876–887.
46. Acharshubho, T. P., Sairarod, S., & Thich Nguyen, T. (2019). Early Buddhism and Buddhist archaeological sites in Andhra South India. Research Review International Journal of Multidisciplinary, 4(12), 107–111.
47. Phanthanaphruet, N., Dhammateero, V. P. J., & Phramaha Chakrapol, T. (2019). The role of Buddhist monastery toward Thai society in an inscription of the great King Ramkhamhaeng. The Journal of Sirindhornparithat, 21(2), 409–422.
48. Bhujell, K., Khemraj, S., Chi, H. K., Lin, W. T., Wu, W., & Thepa, P. C. A. (2020). Trust in the sharing economy: An improvement in terms of customer intention. Indian Journal of Economics and Business, 20(1), 713–730.
49. Khemraj, S., Thepa, P. C. A., & Chi, H. (2021). Phenomenology in education research: Leadership ideological. Webology, 18(5).
50. Sharma, K., Acharashubho, T. P. C., Hsinkuang, C., ... (2021). Prediction of world happiness scenario effective in the period of COVID-19 pandemic, by artificial neuron network (ANN), support vector machine (SVM), and regression tree (RT). Natural Volatiles & Essential Oils, 8(4), 13944–13959.
51. Thepa, P. C. (2021). Indispensability perspective of enlightenment factors. Journal of Dhamma for Life, 27(4), 26–36.
52. Acharashubho, T. P. C. (n.d.). The transmission of Indian Buddhist cultures and arts towards Funan periods on 1st–6th century: The evidence in Vietnam. International Journal of Development Administration Research, 4(1), 7–16.
53. Vadisetty, R., Polamarasetti, A., Guntupalli, R., Rongali, S. K., Raghunath, V., Jyothi, V. K., & Kudithipudi, K. (2021). Legal and Ethical Considerations for Hosting GenAI on the Cloud. International Journal of AI, BigData, Computational and Management Studies, 2(2), 28-34.
54. Vadisetty, R., Polamarasetti, A., Guntupalli, R., Raghunath, V., Jyothi, V. K., & Kudithipudi, K. (2021). Privacy-Preserving Gen AI in Multi-Tenant Cloud Environments. Sateesh kumar and Raghunath, Vedaprada and Jyothi, Vinaya Kumar and Kudithipudi, Karthik, Privacy-Preserving Gen AI in Multi-Tenant Cloud Environments (January 20, 2021).
55. Vadisetty, R., Polamarasetti, A., Guntupalli, R., Rongali, S. K., Raghunath, V., Jyothi, V. K., & Kudithipudi, K. (2020). Generative AI for Cloud Infrastructure Automation. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 1(3), 15-20.
56. Sowjanya, A., Swaroop, K. S., Kumar, S., & Jain, A. (2021, December). Neural Network-based Soil Detection and Classification. In 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 150-154). IEEE.
57. Harshitha, A. G., Kumar, S., & Jain, A. (2021, December). A Review on Organic Cotton: Various Challenges, Issues and Application for Smart Agriculture. In 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 143-149). IEEE.
58. Jain, V., Saxena, A. K., Senthil, A., Jain, A., & Jain, A. (2021, December). Cyber-bullying detection in social media platform using machine learning. In 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 401-405). IEEE.
59. Gandhi Vaibhav, C., & Pandya, N. Feature Level Text Categorization For Opinion Mining. International Journal of Engineering Research & Technology (IJERT) Vol, 2, 2278-0181.
60. Gandhi Vaibhav, C., & Pandya, N. Feature Level Text Categorization For Opinion Mining. International Journal of Engineering Research & Technology (IJERT) Vol, 2, 2278-0181.
61. Gandhi, V. C. (2012). Review on Comparison between Text Classification Algorithms/Vaibhav C. Gandhi, Jignesh A. Prajapati. International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), 1(3).
62. Desai, H. M., & Gandhi, V. (2014). A survey: background subtraction techniques. International Journal of Scientific & Engineering Research, 5(12), 1365.
63. Maisuriya, C. S., & Gandhi, V. (2015). An Integrated Approach to Forecast the Future Requests of User by Weblog Mining. International Journal of Computer Applications, 121(5).
64. Maisuriya, C. S., & Gandhi, V. (2015). An Integrated Approach to Forecast the Future Requests of User by Weblog Mining. International Journal of Computer Applications, 121(5).
65. esai, H. M., Gandhi, V., & Desai, M. (2015). Real-time Moving Object Detection using SURF. IOSR Journal of Computer Engineering (IOSR-JCE), 2278-0661.
66. Gandhi Vaibhav, C., & Pandya, N. Feature Level Text Categorization For Opinion Mining. International Journal of Engineering Research & Technology (IJERT) Vol, 2, 2278-0181.
67. Singh, A. K., Gandhi, V. C., Subramanyam, M. M., Kumar, S., Aggarwal, S., & Tiwari, S. (2021, April). A Vigorous Chaotic Function Based Image Authentication Structure. In Journal of Physics: Conference Series (Vol. 1854, No. 1, p. 012039). IOP Publishing.
68. Gandhi, V. C., & Gandhi, P. P. (2022, April). A survey-insights of ML and DL in health domain. In 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (pp. 239-246). IEEE.
69. Dhinakaran, M., Priya, P. K., Alanya-Beltran, J., Gandhi, V., Jaiswal, S., & Singh, D. P. (2022, December). An Innovative Internet of Things (IoT) Computing-Based Health Monitoring System with the Aid of Machine Learning Approach. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 292-297). IEEE.
70. Dhinakaran, M., Priya, P. K., Alanya-Beltran, J., Gandhi, V., Jaiswal, S., & Singh, D. P. (2022, December). An Innovative Internet of Things (IoT) Computing-Based Health Monitoring System with the Aid of Machine Learning Approach. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 292-297). IEEE.
71. Sharma, S., Sanyal, S. K., Sushmita, K., Chauhan, M., Sharma, A., Anirudhan, G., ... & Kateriya, S. (2021). Modulation of phototropin signalosome with artificial illumination holds great potential in the development of climate-smart crops. Current Genomics, 22(3), 181-213.
72. Kodela, V. (2016). Improving load balancing mechanisms of software defined networks using open flow. California State University, Long Beach.
