Browsing by Keyword "data privacy"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
Item The Right to Be Forgotten in Artificial Intelligence: Issues, Approaches, Limitations and Challenges(Institute of Electrical and Electronics Engineers Inc., 2023) Lobo, Jesus L.; Gil-Lopez, Sergio; Del Ser, Javier; IAThe Right To Be Forgotten is widely conceived as a fundamental principle of the human being. It has become a subject of capital importance in domains where sensitive information is collected from individuals, requiring the provision of monitoring, governance and audit tools to control where such information is used. Artificial Intelligence models are not an exception to this statement: since they are learned from data, this fundamental right should allow individuals to have their personal information erased from AI-based systems. However, the application of this right is not straightforward: what does erasing mean in the context of a model learned from data? Is it just a matter of removing the concerned data and retraining the models? This manuscript provides a brief overview of these and more issues, proposing a desiderata for technical advances noted in this direction, and outlining research directions for prospective studies.Item Towards a privacy debt(2021-12) Larrucea, Xabier; Santamaría, Izaskun; Graña Romay, Manuel; Tecnalia Research & Innovation; SWTThis study argues the difference between security and privacy and outlines the concept of Privacy Debt as a new Technical Debt. Privacy is gaining momentum in any software system due to mandatory compliance with respect to laws and regulations. There are several types of technical debts within the umbrella of software engineering, and most of them arise during different phases of software development. Several research studies have been focussed on highlighting different types of technical debts. However, authors introduce Privacy Debt as a particular technical debt focussed on privacy management and linked to a perturbative method. Privacy must be considered not only as technical debt requirements but also at design and deployment phases, among others. In addition, this method is illustrated with a use case.Item Towards a privacy debt(2021-12) Larrucea, Xabier; Santamaría, Izaskun; Graña Romay, Manuel; Tecnalia Research & Innovation; SWTThis study argues the difference between security and privacy and outlines the concept of Privacy Debt as a new Technical Debt. Privacy is gaining momentum in any software system due to mandatory compliance with respect to laws and regulations. There are several types of technical debts within the umbrella of software engineering, and most of them arise during different phases of software development. Several research studies have been focussed on highlighting different types of technical debts. However, authors introduce Privacy Debt as a particular technical debt focussed on privacy management and linked to a perturbative method. Privacy must be considered not only as technical debt requirements but also at design and deployment phases, among others. In addition, this method is illustrated with a use case.