Privacy is a key principle for develo** ethical AI technologies, but how does including AI
technologies in products and services change privacy risks? We constructed a taxonomy of …

Amidst decline in public trust in technology, computing ethics have taken center stage, and
critics have raised questions about corporate “ethics washing.” Yet few studies examine the …

An emerging body of research indicates that ineffective cross-functional collaboration–the
interdisciplinary work done by industry practitioners across roles–represents a major barrier …

Privacy and security are complex topics, raising a variety of considerations and
requirements that can be challenging to implement in software development. Determining …

Companies and organizations involved in software development are stimulated and often
obliged to consider procedures and technical solutions to guarantee data privacy and …

Power exercised by large technology companies has led to concerns over privacy and data
protection, evidenced by the passage of legislation including the EU's General Data …

We investigate the privacy compliance processes followed by developers of child-directed
mobile apps. While children's online privacy laws have existed for decades in the US, prior …

Adversarial machine learning (AML) has the potential to leak training data, force arbitrary
classifications, and greatly degrade overall performance of machine learning models, all of …

With the increase in the number of privacy regulations, small development teams are forced
to make privacy decisions on their own. In this paper, we conduct a mixed-method survey …

Privacy engineering, as an emerging field of research and practice, comprises the technical
capabilities and management processes needed to implement, deploy, and operate privacy …