Traceability is considered a key requirement for trustworthy artificial intelligence (AI), related
to the need to maintain a complete account of the provenance of data, processes, and …

Purpose Companies are increasingly benefiting from artificial intelligence (AI) applications
in various domains, but also facing its negative impacts. The challenge lies in the lack of …

Abstract Machine learning (ML) has already fundamentally changed several businesses.
More recently, it has also been profoundly impacting the computational science and …

Automated Machine Learning (AutoML) technology can lower barriers in data work yet still
requires human intervention to be functional. However, the complex and collaborative …

Optimization is offered as an objective approach to resolving complex, real-world decisions
involving uncertainty and conflicting interests. It drives business strategies as well as public …

Data provenance, or data lineage, describes the life cycle of data. In scientific workflows on
HPC systems, scientists often seek diverse provenance (eg, origins of data products, usage …

Recent research has successfully demonstrated new types of data poisoning attacks. To
address this problem, some researchers have proposed data poisoning detection defenses …

Next-generation scientific instruments will collect data at unprecedented rates: multiple GB/s
and exceeding TB/day. Such runs will benefit from automation and steering via machine …