Purzer, S., & Zoltowski, C. B., & Zakharov, W., & Arigye, J. (2024, June), Developing the Design Reasoning in Data Life-Cycle Ethical Management Framework  Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--47172

\bibitem{asee_peer_47172}
  Purzer, S., \& Zoltowski, C. B., \& Zakharov, W., \& Arigye, J. (2024, June), \emph{Developing the Design Reasoning in Data Life-Cycle Ethical Management Framework}
  Paper presented at 2024 ASEE Annual Conference \& Exposition, Portland, Oregon.
  10.18260/1-2--47172

Senay Purzer, Carla B. Zoltowski, Wei Zakharov, and Joreen Arigye.  "Developing the Design Reasoning in Data Life-Cycle Ethical Management Framework".  2024 ASEE Annual Conference & Exposition, Portland, Oregon, 2024, June.  ASEE Conferences, 2024.  https://peer.asee.org/47172 Internet.  07 Feb, 2025

\bibitem{asee_peer_47172}
  Senay Purzer, Carla B. Zoltowski, Wei Zakharov, and Joreen Arigye.
  "Developing the Design Reasoning in Data Life-Cycle Ethical Management Framework".
  \emph{2024 ASEE Annual Conference \& Exposition, Portland, Oregon, 2024, June}.
  ASEE Conferences, 2024.
  https://peer.asee.org/47172 Internet.  07 Feb, 2025

@INPROCEEDINGS{asee_peer_47172
author = "Senay Purzer, Carla B. Zoltowski, Wei Zakharov, and Joreen Arigye"
title = "Developing the Design Reasoning in Data Life-Cycle Ethical Management Framework"
booktitle = "2024 ASEE Annual Conference \& Exposition"
year = "2024"
month = "June"
address = "Portland, Oregon"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/47172}
number = {10.18260/1-2--47172}
}

TY  - CPAPER
AB  - Human-designed systems are increasingly leveraged by data-driven methods and artificial intelligence. This leads to an urgent need for responsible design and ethical use. The goal of this conceptual paper is two-fold. First, we will introduce the Framework for Design Reasoning in Data Life-cycle Ethical Management, which integrates three existing frameworks: 1) the design reasoning quadrants framework (representing engineering design research), and 2) the data life-cycle model (representing data management), and 3) the reflexive principles framework (representing ethical decision-making). The integration of three critical components of the framework (design reasoning, data reasoning, and ethical reasoning) is accomplished by centering on the conscientious negotiation of design risks and benefits. Second, we will present an example of a student design project report to demonstrate how this framework guides educators towards delineating and integrating data reasoning, ethical reasoning, and design reasoning in settings where ethical issues (e.g., AI solutions) are commonly experienced. The framework can be implemented to design courses through design review conversations that seamlessly integrate ethical reasoning into the technical and data decision-making processes.
AU  - Senay Purzer
AU  - Carla B. Zoltowski
AU  - Wei Zakharov
AU  - Joreen Arigye
CY  - Portland, Oregon
DA  - 2024/06/23
PB  - ASEE Conferences
TI  - Developing the Design Reasoning in Data Life-Cycle Ethical Management Framework
UR  - https://peer.asee.org/47172
DO  - 10.18260/1-2--47172
ER  -