no code implementations • 13 Feb 2024 • Andrew Hundt, Julia Schuller, Severin Kacianka
We propose a framework for adapting widely practiced Research and Development (R&D) project management methodologies to build organizational equity capabilities and better integrate known evidence-based best practices.
no code implementations • 23 Jul 2022 • Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew Gombolay
Stereotypes, bias, and discrimination have been extensively documented in Machine Learning (ML) methods such as Computer Vision (CV) [18, 80], Natural Language Processing (NLP) [6], or both, in the case of large image and caption models such as OpenAI CLIP [14].
no code implementations • 20 Jan 2021 • Severin Kacianka, Alexander Pretschner
The problem that software developers now face is to understand what accountability means for their systems and how to reflect it in a system's design.
Software Engineering
no code implementations • 31 Oct 2019 • Severin Kacianka, Amjad Ibrahim, Alexander Pretschner, Alexander Trende, Andreas Lüdtke
Causal Models are increasingly suggested as a means to reason about the behavior of cyber-physical systems in socio-technical contexts.
1 code implementation • 27 Nov 2018 • Valentin Zieglmeier, Severin Kacianka, Thomas Hutzelmann, Alexander Pretschner
Our evaluation shows that the testbed makes the effective assessment of various IDS possible.
Cryptography and Security Software Engineering