Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

From the ground up: developing a practical ethical methodology for integrating AI into industry

14 references·1 citing·47 second hop

FromToDepth

this work references cited by second hop

References

2019The global landscape of AI ethics guidelines6,172 cited
2020The Ethics of AI Ethics: An Evaluation of Guidelines1,900 cited
2019Industry 5.0 and Human-Robot Co-working752 cited
2021Algorithmic injustice: a relational ethics approach705 cited
2008The Method of Levels of Abstraction355 cited
2018Does ACM’s code of ethics change ethical decision making in software development?244 cited
2019From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices120 cited
2020A Survey on Ethical Principles of AI and Implementations99 cited
2020You cannot have AI ethics without ethics88 cited
2019AI Ethics – Too Principled to Fail?82 cited
2019ETHICAL RISKS OF HUMAN-MACHINE SYMBIOSIS IN INDUSTRY 4.0: INSIGHTS FROM THE HUMAN-MACHINE COOPERATION APPROACH64 cited
2021Engineering ethical behaviors in autonomous industrial cyber-physical human systems38 cited
2017Designing Ethical Cyber-Physical Industrial Systems33 cited
2020Artificial intelligence and the future of nationalism32 cited

Cited by

2025How do we assess the trustworthiness of AI? Introducing the trustworthiness assessment model (TrAM)

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

79 cited