The systems and tools for analysing
Posted: Sun Feb 09, 2025 5:35 am
Changes in the data landscape present new challenges when relying on such practices to uphold rights to privacy. big data are becoming more powerful, with new algorithmic methods of analysis that raise questions over the effectiveness of existing techniques of anonymisation and de-identification. As Narayanan and Felton 2014 found, there is no “silver bullet” option out there. Once we recognise this, we can move away from thinking in black-and-white terms and focus on greece rcs data minimising (but not eliminating) risks and balancing risks with the benefits to society from the use of these data.
There are also practical issues to consider. Procedures for obtaining informed consent are unfeasible for many forms of new data – for example, how can one say that consent for an undefined future purpose can be truly considered as being “informed”? Surely to be ”informed” implies some knowledge of what will happen to that data. Furthermore, the growing capacity to link diverse data sources also presents challenges for the mechanisms that control access to data (Barocas and Nissenbaum 2014).
The problems with the processes of anonymisation, consent and access are not restricted to big data, but as Barocas and Nissenbaum put it, big data has transformed the “fault lines” in existing practices into “impassable chasms” (Barocas and Nissenbaum 2014, 45). The problems that big data brings to light extend beyond legal or technical inconveniences and reveal fundamental conceptual challenges.
There are also practical issues to consider. Procedures for obtaining informed consent are unfeasible for many forms of new data – for example, how can one say that consent for an undefined future purpose can be truly considered as being “informed”? Surely to be ”informed” implies some knowledge of what will happen to that data. Furthermore, the growing capacity to link diverse data sources also presents challenges for the mechanisms that control access to data (Barocas and Nissenbaum 2014).
The problems with the processes of anonymisation, consent and access are not restricted to big data, but as Barocas and Nissenbaum put it, big data has transformed the “fault lines” in existing practices into “impassable chasms” (Barocas and Nissenbaum 2014, 45). The problems that big data brings to light extend beyond legal or technical inconveniences and reveal fundamental conceptual challenges.