SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
The Considerations of Trustworthy AI Components in Generative AI; A Letter to Editor
0 references·3 citing·11 second hop
The Considerations of Trustworthy AI Components in Generative AI; A Letter to Editor (2023)The Considerations of Trustworthy AI Comp…Locating the Ethics of ChatGPT—Ethical Issues as Affordances in AI Ecosystems (2025)Locating the Ethics of ChatGP…Limitations of Deep Learning vs. Human Intelligence: Training Data, Interpretability, Bias, and Ethics (2025)Limitations of Deep Learning …A systematic review of trustworthy artificial intelligence applications in natural disasters (2024)A systematic review of trustw…Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)A Survey on Bias and Fairness in Machine Learning (2021)Artificial intelligence, systemic risks, and sustainability (2021)Disaster Risk Reduction and Management With Emerging Technologies (2025)Exploring the Intersection of Machine Learning and Big Data: A Survey (2025)High-Risk Artificial Intelligence (2025)Predators and prey: a new ecology of competition. (1993)The global landscape of AI ethics guidelines (2019)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)What humanlike errors do autonomous vehicles need to avoid to maximize safety? (2020)A Comprehensive Review of Bias in Deep Learning Models: Methods, Impacts, and Future Directions (2024)
this work references cited by second hop

References

No references inside the corpus for this window.

Cited by

  • 2024A systematic review of trustworthy artificial intelligence applications in natural disasters311 cited
  • 2025Locating the Ethics of ChatGPT—Ethical Issues as Affordances in AI Ecosystems10 cited
  • 2025Limitations of Deep Learning vs. Human Intelligence: Training Data, Interpretability, Bias, and Ethics10 cited

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