AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912130054225920 |
|---|---|
| author | Šekrst, Kristina McHugh, Jeremy Cefalu, Jonathan Rodriguez |
| author_facet | Šekrst, Kristina McHugh, Jeremy Cefalu, Jonathan Rodriguez |
| contents | This paper explores the development of an ethical guardrail framework for AI systems, emphasizing the importance of customizable guardrails that align with diverse user values and underlying ethics. We address the challenges of AI ethics by proposing a structure that integrates rules, policies, and AI assistants to ensure responsible AI behavior, while comparing the proposed framework to the existing state-of-the-art guardrails. By focusing on practical mechanisms for implementing ethical standards, we aim to enhance transparency, user autonomy, and continuous improvement in AI systems. Our approach accommodates ethical pluralism, offering a flexible and adaptable solution for the evolving landscape of AI governance. The paper concludes with strategies for resolving conflicts between ethical directives, underscoring the present and future need for robust, nuanced and context-aware AI systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_14442 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development Šekrst, Kristina McHugh, Jeremy Cefalu, Jonathan Rodriguez Computers and Society Computation and Language This paper explores the development of an ethical guardrail framework for AI systems, emphasizing the importance of customizable guardrails that align with diverse user values and underlying ethics. We address the challenges of AI ethics by proposing a structure that integrates rules, policies, and AI assistants to ensure responsible AI behavior, while comparing the proposed framework to the existing state-of-the-art guardrails. By focusing on practical mechanisms for implementing ethical standards, we aim to enhance transparency, user autonomy, and continuous improvement in AI systems. Our approach accommodates ethical pluralism, offering a flexible and adaptable solution for the evolving landscape of AI governance. The paper concludes with strategies for resolving conflicts between ethical directives, underscoring the present and future need for robust, nuanced and context-aware AI systems. |
| title | AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development |
| topic | Computers and Society Computation and Language |
| url | https://arxiv.org/abs/2411.14442 |