Recent developments have led to an enormous increase in the use of data, including the use of data for building machine learning and predictive models to support decisions. New technologies also come with potential challenges to fundamental rights, such as the right to privacy and data protection or non-discrimination. To mitigate potential challenges, an assessment of data quality is one important measure. There is, however, the need for clear guidance on how to assess and ensure data quality for processing data for different purposes. In this panel, the challenge of effectively assessing and maintaining the quality of data for data protection and fundamental rights compliant processing will be discussed.
• What does quality of data mean for data protection and AI systems?
• How can the data be effectively assessed? What are the sources of error?
• How does low quality of data impact on fundamental Rights?