anonymization

Credit: (2023). DOI: 10.31219/osf.io/jyq2f A multi-year study, published as a preprint article led by the office of Australia's Women in STEM Ambassador investigated the impact of anonymization (removing identifying names and other information) on applications for access to research facilities in Australia. The results provide crucial insights that have the potential to reshape the landscape of equity and diversity in the…

Taking a break from the generative AI hype around LLMs and foundation models, let’s explore how synthetic data created by more traditional generative AI models are set for mainstream adoption.Image generated by Arne Rustad using DALLE-3.Data is as valuable as gold, and sharing it responsibly presents both immense opportunities and significant challenges for organizations and society. To ethically process data and avoid legal repercussions, organizations must ensure they do not violate the privacy of individuals…

In today's data-driven world, ensuring individual data privacy has become critical as organizations rely on extensive data for decision-making, research, and customer engagement. Data anonymization is a technique that transforms personal data to safeguard personal information while maintaining its utility. This balance allows organizations to leverage data without compromising privacy. The rise of Big Data and Advanced Analytics has heightened the necessity for efficient anonymization methods. In our first series of…

Data protection and privacy preservation techniques have been researched and applied as early as the 1850s, when the US Census Bureau started to remove personal data from the publicly available census data about US citizens. Since the early use of simple techniques such as adding random noise or aggregation, various models have been proposed and improved. Privacy is a basic human right. According to the dictionary definition, it isthe ability of an individual or group to seclude themselves or information about themselves,…