Vol. 4 No. 1 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

Human-Centric Design of Privacy Controls for Autonomous Vehicle Data Sharing

PDF
  • Dr. José Barreto
Dr. José Barreto
Professor of Informatics, University of Lisbon, Portugal
Cover

Published 23-04-2024

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. José Barreto, “Human-Centric Design of Privacy Controls for Autonomous Vehicle Data Sharing”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 1, pp. 246–271, Apr. 2024, Accessed: Nov. 23, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/100

Abstract

Societal concerns need to be different—those resulting from driver fears associated with data cameras in a smartphone, thus restricting the information sharing and autonomous driving, self-driving vehicles, driver control, and these two technologies taken together. It is also essential to differentiate these technologies. It is very clear now that evidence-based studies demand the wide-scale application of autonomous technologies. This demand emerges from societal, economic, and technological perspectives. It is recognized that long-term development of automated technologies is urgently expected to accelerate safe data sharing and to promote collaborated global research. To transfer the technology similarly into reality, promoting the preparedness of interested users’ vehicle data management and the overall infrastructure through consensus building has become an critical priority [1].

PDF

Downloads

Download data is not yet available.

References

  1. Tatineni, Sumanth, and Anirudh Mustyala. "Advanced AI Techniques for Real-Time Anomaly Detection and Incident Response in DevOps Environments: Ensuring Robust Security and Compliance." Journal of Computational Intelligence and Robotics 2.1 (2022): 88-121.
  2. Biswas, A., and W. Talukdar. “Robustness of Structured Data Extraction from In-Plane Rotated Documents Using Multi-Modal Large Language Models (LLM)”. Journal of Artificial Intelligence Research, vol. 4, no. 1, Mar. 2024, pp. 176-95, https://thesciencebrigade.com/JAIR/article/view/219.
  3. Bojja, Giridhar Reddy, Jun Liu, and Loknath Sai Ambati. "Health Information systems capabilities and Hospital performance-An SEM analysis." AMCIS. 2021.
  4. Vemoori, Vamsi. "Evolutionary Landscape of Battery Technology and its Impact on Smart Traffic Management Systems for Electric Vehicles in Urban Environments: A Critical Analysis." Advances in Deep Learning Techniques 1.1 (2021): 23-57.
  5. Jeyaraman, Jawaharbabu, and Muthukrishnan Muthusubramanian. "Data Engineering Evolution: Embracing Cloud Computing, Machine Learning, and AI Technologies." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 1.1 (2023): 85-89.
  6. Shahane, Vishal. "Serverless Computing in Cloud Environments: Architectural Patterns, Performance Optimization Strategies, and Deployment Best Practices." Journal of AI-Assisted Scientific Discovery 2.1 (2022): 23-43.
  7. Devan, Munivel, Ravish Tillu, and Lavanya Shanmugam. "Personalized Financial Recommendations: Real-Time AI-ML Analytics in Wealth Management." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)2.3 (2023): 547-559.
  8. Sharma, Kapil Kumar, Manish Tomar, and Anish Tadimarri. "Optimizing sales funnel efficiency: Deep learning techniques for lead scoring." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.2 (2023): 261-274.
  9. Abouelyazid, Mahmoud. "Adversarial Deep Reinforcement Learning to Mitigate Sensor and Communication Attacks for Secure Swarm Robotics." Journal of Intelligent Connectivity and Emerging Technologies 8.3 (2023): 94-112.
  10. Prabhod, Kummaragunta Joel. "Leveraging Generative AI and Foundation Models for Personalized Healthcare: Predictive Analytics and Custom Treatment Plans Using Deep Learning Algorithms." Journal of AI in Healthcare and Medicine 4.1 (2024): 1-23.
  11. Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.
  12. Althati, Chandrashekar, Manish Tomar, and Jesu Narkarunai Arasu Malaiyappan. "Scalable Machine Learning Solutions for Heterogeneous Data in Distributed Data Platform." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 4.1 (2024): 299-309.