生成式AI伦理手册
摘要
生成式AI伦理手册为识别和缓解机器学习系统在自然语言处理、计算机视觉和生成式AI等多个领域中的风险提供指导。该手册旨在帮助从业者在数据集和模型的设计、开发和部署期间诊断可能产生的伤害。它提供了具体的策略和资源，以帮助最小化对用户和社会的负面影响。drawing on current best practices in both research and ethical considerations, this playbook aims to serve as a comprehensive resource for AI/ML practitioners. The intended audience of this playbook includes machine learning researchers, engineers, and practitioners who are involved in the creation and implementation of generative and multimodal models (e.g., text-to-text, image-to-image, text-to-image, text-to-video). Specifically, we provide transparency/documentation checklists, topics of interest, common questions, examples of harms through case studies, and resources and strategies to mitigate harms throughout the Generative AI lifecycle. This playbook was made collaboratively over the course of 16 months through extensive literature review of over 100 resources and peer-reviewed articles, as well as through an initial group brainstorming session with 18 interdisciplinary AI ethics experts from industry and academia, and with additional feedback from 8 experts (5 of whom were in the initial brainstorming session). We note that while this playbook provides examples, discussion, and harm mitigation strategies, research in this area is ongoing. Our playbook aims to be a practically useful survey, taking a high-level view rather than aiming for covering the entire existing body of research.
引用
@article{arxiv.2501.10383,
title = {The Generative AI Ethics Playbook},
author = {Jessie J. Smith and Wesley Hanwen Deng and William H. Smith and Maarten Sap and Nicole DeCario and Jesse Dodge},
journal= {arXiv preprint arXiv:2501.10383},
year = {2025}
}