Towards an Integrated Approach for Preserving Data Utility, Privacy and Fairness

Data reusability has become a distinct characteristic of scientific, commercial, and administrative practices nowadays. However, an unlimited careless reuse data may lead to privacy breaches unfair impacts on individuals vulnerable groups. content adaption is key aspect preserving fairness. Often, such affects utility adversely. Further, the interaction between protection fairness can be subject making trade-offs because mitigating risks adversely affect detecting unfairness vice versa. Therefore, there need for research understanding interactions utility, To this end, in contribution, we use concepts from causal reasoning argue adopting integrated view driven decision support systems. This asks considering operation context wholistically. By means two cases, illustrate that, some situations, local low quality utility. An wholistic approach, however, result original (i.e., without adaption, thus higher utilization) affecting We discuss implications approach sketch few directions future research.