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Human-Data Interaction Framework: A Comprehensive Model for a Future Driven by Data and Humans

Ivan Durango, Jose A. Gallud, Victor M.R. Penichet

Original Paper: https://arxiv.org/abs/2407.21010

In an age defined by rapid data expansion, the connection between individuals and their digital footprints has become more intricate. The Human-Data Interaction (HDI) framework has become an essential approach to tackling the challenges and ethical issues associated with data governance and utilization in the modern digital world. This paper outlines the fundamental steps required for organizations to seamlessly integrate HDI principles, emphasizing auditing, aligning, formulating considerations, and the need for continuous monitoring and adaptation. Through a thorough audit, organizations can critically assess their current data management practices, trace the data lifecycle from collection to disposal, and evaluate the effectiveness of existing policies, security protocols, and user interfaces. The next step involves aligning these practices with the main HDI principles, such as informed consent, data transparency, user control, algorithm transparency, and ethical data use, to identify gaps that need strategic action. Formulating preliminary considerations includes developing policies and technical solutions to close identified gaps, ensuring that these practices not only meet legal standards, but also promote fairness and accountability in data interactions. The final step, monitoring and adaptation, highlights the need for setting up continuous evaluation mechanisms and being responsive to technological, regulatory, and societal developments, ensuring HDI practices stay up-to-date and effective. Successful implementation of the HDI framework requires multi-disciplinary collaboration, incorporating insights from technology, law, ethics, and user experience design. The paper posits that this comprehensive approach is vital for building trust and legitimacy in digital environments, ultimately leading to more ethical, transparent, and user-centric data interactions.