Ethics and Fair Use Framework for Privacy Preserving Data Sharing

Ethics and Fair Use Framework for Privacy Preserving Data Sharing

Authors: Bita Afsharinia, Anjula Gurtoo, Jyotirmoy Dutta, Minnu Malieckal

The study aims to critically evaluate current privacy-preserving technologies and ethical frameworks in data sharing, identifying gaps and proposing a comprehensive, integrated ethical framework. Existing frameworks often fall short in integrating these two aspects effectively, particularly in the context of emerging technologies. The study utilizes a multi-faceted methodology, starting with detailed literature review followed by a content analysis to systematically analyse data, uncovering recurring themes, gaps, and opportunities.
Results: The literature review highlights significant limitations in current frameworks, especially their adaptability to new technologies and the integration of ethical considerations with technical solutions. Content analysis facilitated the development of a novel framework that bridges these gaps. The study underscores the need for a more integrated and dynamic framework that balances privacy protection with data utility while embedding ethical principles into technical solutions. The proposed framework emphasizes the incorporation of ethical principles such as transparency, consent, and fairness into privacy-preserving technologies, ensuring that data-sharing practices are both secure and ethically sound.

Journal/Conference

International Conference on Emerging Trends in Business Analytics and Management Science (BAMS 2024)