Engaging Engineering Teams Through Moral Imagination: A Bottom-Up
Approach for Responsible Innovation and Ethical Culture Change in Technology
Companies
- URL: http://arxiv.org/abs/2306.06901v3
- Date: Sat, 28 Oct 2023 08:20:32 GMT
- Title: Engaging Engineering Teams Through Moral Imagination: A Bottom-Up
Approach for Responsible Innovation and Ethical Culture Change in Technology
Companies
- Authors: Benjamin Lange, Geoff Keeling, Amanda McCroskery, Ben Zevenbergen,
Sandra Blascovich, Kyle Pedersen, Alison Lentz, and Blaise Aguera y Arcas
- Abstract summary: We propose a "Moral Imagination" methodology to facilitate a culture of responsible innovation for engineering and product teams in technology companies.
Our approach has been operationalized over the past two years at Google, where we have conducted over 50 workshops with teams across the organization.
- Score: 1.4223357654778808
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We propose a "Moral Imagination" methodology to facilitate a culture of
responsible innovation for engineering and product teams in technology
companies. Our approach has been operationalized over the past two years at
Google, where we have conducted over 50 workshops with teams across the
organization. We argue that our approach is a crucial complement to existing
formal and informal initiatives for fostering a culture of ethical awareness,
deliberation, and decision-making in technology design such as company
principles, ethics and privacy review procedures, and compliance controls. We
characterize some of the distinctive benefits of our methodology for the
technology sector in particular.
Related papers
- Contemporary Software Modernization: Perspectives and Challenges to Deal with Legacy Systems [48.33168695898682]
"Software modernization" emerged as a research topic in the early 2000s.
Despite the large amount of work available in the literature, there are significant limitations.
arXiv Detail & Related papers (2024-07-04T15:49:52Z) - Towards an Ethical and Inclusive Implementation of Artificial Intelligence in Organizations: A Multidimensional Framework [0.0]
This article analyzes the impact of artificial intelligence on contemporary society and the importance of adopting an ethical approach to its development and implementation within organizations.
Various actors, such as governments, academics, and civil society, can play a role in shaping the development of AI aligned with human and social values.
arXiv Detail & Related papers (2024-05-02T19:43:51Z) - Hacia una implementación ética e inclusiva de la Inteligencia Artificial en las organizaciones: un marco multidimensional [0.0]
The article analyzes the impact of artificial intelligence on contemporary society and the importance of adopting an ethical approach to its development and implementation within organizations.
Various actors, such as governments, academics and civil society, can play a role in shaping the development of AI aligned with human and social values.
arXiv Detail & Related papers (2024-04-30T22:11:05Z) - Responsible and Inclusive Technology Framework: A Formative Framework to
Promote Societal Considerations in Information Technology Contexts [1.9991645269305982]
This paper contributes a formative framework -- the Responsible and Inclusive Technology Framework -- that orients critical reflection around the social contexts of technology creation and use.
We expect that the implementation of the Responsible and Inclusive Technology framework, especially in business-to-business industry settings, will serve as a catalyst for more intentional and socially-grounded practices.
arXiv Detail & Related papers (2023-02-22T18:59:04Z) - Empowered and Embedded: Ethics and Agile Processes [60.63670249088117]
We argue that ethical considerations need to be embedded into the (agile) software development process.
We put emphasis on the possibility to implement ethical deliberations in already existing and well established agile software development processes.
arXiv Detail & Related papers (2021-07-15T11:14:03Z) - An interdisciplinary conceptual study of Artificial Intelligence (AI)
for helping benefit-risk assessment practices: Towards a comprehensive
qualification matrix of AI programs and devices (pre-print 2020) [55.41644538483948]
This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence.
The aim is to identify shared notions or discrepancies to consider for qualifying AI systems.
arXiv Detail & Related papers (2021-05-07T12:01:31Z) - A Methodology for Ethics-by-Design AI Systems: Dealing with Human Value
Conflicts [0.030458514384586396]
The introduction of artificial intelligence into activities traditionally carried out by human beings produces brutal changes.
This paper is about designing and implementing models of ethical behaviors in AI-based systems.
It presents a methodology for designing systems that take ethical aspects into account at an early stage while finding an innovative solution to prevent human values from being affected.
arXiv Detail & Related papers (2020-10-15T09:14:00Z) - The Short Anthropological Guide to the Study of Ethical AI [91.3755431537592]
Short guide serves as both an introduction to AI ethics and social science and anthropological perspectives on the development of AI.
Aims to provide those unfamiliar with the field with an insight into the societal impact of AI systems and how, in turn, these systems can lead us to rethink how our world operates.
arXiv Detail & Related papers (2020-10-07T12:25:03Z) - AI-based Modeling and Data-driven Evaluation for Smart Manufacturing
Processes [56.65379135797867]
We propose a dynamic algorithm for gaining useful insights about semiconductor manufacturing processes.
We elaborate on the utilization of a Genetic Algorithm and Neural Network to propose an intelligent feature selection algorithm.
arXiv Detail & Related papers (2020-08-29T14:57:53Z) - Artificial Intelligent Ethics in the Digital Era: an Engineering Ethical
Framework Proposal [0.0]
We discuss the purpose of promoting trust and ensure social benefit by the proper use of Artificial Intelligent Systems.
We propose a generic ethical technological framework as a first attempt to define a common context towards developing real engineering ethical by design.
arXiv Detail & Related papers (2020-02-18T17:09:36Z) - Deep Technology Tracing for High-tech Companies [67.86308971806322]
We develop a novel data-driven solution, i.e., Deep Technology Forecasting (DTF) framework, to automatically find the most possible technology directions customized to each high-tech company.
DTF consists of three components: Potential Competitor Recognition (PCR), Collaborative Technology Recognition (CTR), and Deep Technology Tracing (DTT) neural network.
arXiv Detail & Related papers (2020-01-02T07:44:12Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.