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The paper proposes a framework for customizable AI guardrails that combines rules, policies, and AI assistants, and compares it with existing guardrail approaches. The abstract stays high-level, so readers should check the body for implementation details, benchmarks, and how conflicts between ethical directives are actually resolved. The core question is whether per-user guardrail customization can be enforced reliably without weakening safety.
Sources coveringarXiv, Snowflake Blog, NVIDIA

AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development

arXiv2 min read

arXiv:2411.14442v2 Announce Type: replace-cross Abstract: 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.

Abstract: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.

Computers and Society (cs.CY); Computation and Language (cs.CL)

arXiv:2411.14442 [cs.CY]

(or arXiv:2411.14442v2 [cs.CY] for this version)

https://doi.org/10.48550/arXiv.2411.14442 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 222 words

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