AI systems are becoming increasingly pervasive within children's devices, apps, and
services. However, it is not yet well-understood how risks and ethical considerations of AI …

In today's interconnected digital world, data privacy and security have emerged as
paramount concerns for individuals, organizations, and governments alike. This review …

Multisite medical data sharing is critical in modern clinical practice and medical research.
The challenge is to conduct data sharing that preserves individual privacy and data utility …

Increased delegation of commercial, scientific, governmental, and personal activities to AI
agents—systems capable of pursuing complex goals with limited supervision—may …

Abstract The United Nations confirmed that privacy remains a human right in the digital age,
but our daily digital experiences and seemingly ever-increasing amounts of data suggest …

Leakage of data from publicly available Machine Learning (ML) models is an area of
growing significance since commercial and government applications of ML can draw on …

Article 5 (1)(c) of the European Union's General Data Protection Regulation (GDPR)
requires that" personal data shall be [...] adequate, relevant, and limited to what is necessary …

Despite years of heavy criticism, privacy self-management (ie, the principle that people
individually manage their privacy via notice and choice) remains the standard of privacy …

Big data is often characterized by its four constitutive 'Vs': digital data is produced in
increasingly larger amounts (Volume), at high speed (Velocity), with a broad range of data …

Many research topics in natural language processing (NLP), such as explanation
generation, dialog modeling, or machine translation, require evaluation that goes beyond …