A Novel Framework for Ethical AI Governance in Autonomous Systems

Main Article Content

Prof. Robert Chan

Abstract

The rapid development of autonomous systems necessitates robust ethical governance to ensure their responsible deployment. This paper introduces a novel framework for ethical AI governance, incorporating principles of transparency, accountability, and fairness. The framework integrates ethical considerations into the lifecycle of autonomous systems, from design to deployment. Case studies in autonomous vehicles and robotics demonstrate the framework’s applicability and effectiveness. By addressing critical ethical challenges, the proposed framework offers a structured approach to building trust and mitigating risks associated with autonomous technologies.


 

Article Details

How to Cite
Chan, P. R. (2022). A Novel Framework for Ethical AI Governance in Autonomous Systems. International Meridian Journal, 4(4). https://meridianjournal.in/index.php/IMJ/article/view/102
Section
Articles

How to Cite

Chan, P. R. (2022). A Novel Framework for Ethical AI Governance in Autonomous Systems. International Meridian Journal, 4(4). https://meridianjournal.in/index.php/IMJ/article/view/102

References

Whig, P., & Adusumilli, S. B. K. (2022). Machine Learning Applications in Healthcare Supply Chains: Improving Efficiency, Resilience, and Patient Outcomes. Transactions on Recent Developments in Health Sectors, 5(5).

Adusumilli, S. B. K., Damancharla, H., & Metta, A. R. (2021). AI-Powered Cybersecurity Solutions for Threat Detection and Prevention. International Journal of Creative Research In Computer Technology and Design, 3(3).

Adusumilli, S. B. K., Damancharla, H., & Metta, A. R. (2020). Leveraging AI for Real-Time Sentiment Analysis in Social Media Networks. International Numeric Journal of Machine Learning and Robots, 4(4).

Dhaiya, S., Pandey, B. K., Adusumilli, S. B. K., & Avacharmal, R. (2021). Optimizing API Security in FinTech Through Genetic Algorithm based Machine Learning Model.

Vattikuti, M. C. (2022). Comparative Analysis of Deep Learning Models for Tumor Detection in Medical Imaging. Research-gate journal, 8(8).

Vattikuti, M. C. (2020). A Comprehensive Review of AI-Based Diagnostic Tools for Early Disease Detection in Healthcare. Research-gate journal, 6(6).

Vattikuti, M. C. (2018). Leveraging Edge Computing for Real-Time Analytics in Smart City Healthcare Systems. International Transactions in Artificial Intelligence, 2(2).

Vattikuti, M. C. (2018). Leveraging AI for Sustainable Growth in AgTech: Business Models in the Digital Age. Transactions on Latest Trends in IoT, 1(1), 100-105.

Pindi, V. (2018). NATURAL LANGUAGE PROCESSING(NLP) APPLICATIONS IN HEALTHCARE: EXTRACTING VALUABLE INSIGHTS FROM UNSTRUCTURED MEDICAL DATA. International Journal of Innovations in Engineering Research and Technology, 5(3), 1-10.

Pindi, V. (2019). A AI-ASSISTED CLINICAL DECISION SUPPORT SYSTEMS: ENHANCING DIAGNOSTIC ACCURACY AND TREATMENT RECOMMENDATIONS. International Journal of Innovations in Engineering Research and Technology, 6(10), 1-10.

PINDI, V. (2022). ETHICAL CONSIDERATIONS AND REGULATORY COMPLIANCE IN IMPLEMENTING AI SOLUTIONS FOR HEALTHCARE APPLICATIONS. IEJRD-International Multidisciplinary Journal, 5(5), 11.

Pindi, V. (2021). AI in Dental Healthcare: Transforming Diagnosis and Treatment. International Journal of Holistic Management Perspectives, 2(2).

Pindi, V. (2020). AI in Rare Disease Diagnosis: Reducing the Diagnostic Odyssey. International Journal of Holistic Management Perspectives, 1(1).

Pindi, V. (2018). AI for Surgical Training: Enhancing Skills through Simulation. International Numeric Journal of Machine Learning and Robots, 2(2).

Pindi, V. (2017). AI in Rehabilitation: Redefining Post-Injury Recovery. International Numeric Journal of Machine Learning and Robots, 1(1).

Deekshith, A. (2019). Integrating AI and Data Engineering: Building Robust Pipelines for Real-Time Data Analytics. International Journal of Sustainable Development in Computing Science, 1(3), 1-35.

Deekshith, A. (2020). AI-Enhanced Data Science: Techniques for Improved Data Visualization and Interpretation. International Journal of Creative Research In Computer Technology and Design, 2(2).

Deekshith, A. (2021). Data engineering for AI: Optimizing data quality and accessibility for machine learning models. International Journal of Management Education for Sustainable Development, 4(4), 1-33.

Deekshith, A. (2022). Cross-Disciplinary Approaches: The Role of Data Science in Developing AI-Driven Solutions for Business Intelligence. International Machine learning journal and Computer Engineering, 5(5).

Velaga, S. P. (2014). DESIGNING SCALABLE AND MAINTAINABLE APPLICATION PROGRAMS. IEJRD-International Multidisciplinary Journal, 1(2), 10.

Velaga, S. P. (2016). LOW-CODE AND NO-CODE PLATFORMS: DEMOCRATIZING APPLICATION DEVELOPMENT AND EMPOWERING NON-TECHNICAL USERS. IEJRD-International Multidisciplinary Journal, 2(4), 10.

Velaga, S. P. (2017). “ROBOTIC PROCESS AUTOMATION (RPA) IN IT: AUTOMATING REPETITIVE TASKS AND IMPROVING EFFICIENCY. IEJRD-International Multidisciplinary Journal, 2(6), 9.

Velaga, S. P. (2018). AUTOMATED TESTING FRAMEWORKS: ENSURING SOFTWARE QUALITY AND REDUCING MANUAL TESTING EFFORTS. International Journal of Innovations in Engineering Research and Technology, 5(2), 78-85.

Velaga, S. P. (2020). AIASSISTED CODE GENERATION AND OPTIMIZATION: LEVERAGING MACHINE LEARNING TO ENHANCE SOFTWARE DEVELOPMENT PROCESSES. International Journal of Innovations in Engineering Research and Technology, 7(09), 177-186.

Velaga, S. P. R. (2021). AI in Health Monitoring: Continuous Care through Wearable Technology. International Journal of Holistic Management Perspectives, 2(2).

Velaga, S. P. R. (2020). AI in Cardiovascular Care: From Early Detection to Personalized Treatment. International Journal of Holistic Management Perspectives, 1(1).

Velaga, S. P. R. (2018). AI in Healthcare Chatbots: Enhancing Patient Engagement and Support. International Numeric Journal of Machine Learning and Robots, 2(2).

Velaga, S. P. R. (2017). AI in Healthcare Accessibility: Bridging the Urban-Rural Divide. International Numeric Journal of Machine Learning and Robots, 1(1).