AAAI

No One to Blame: A Framework of Constitutive AI Unaccountability

无人可追责：构成型AI不可问责性的框架

Long Hoang Nguyen, Eva Späthe, Sebastian Lins, Ali Sunyaev

AI总结 针对自主AI系统带来的问责挑战，该研究提出构成型AI不可问责性概念，构建诊断框架，在OpenClaw中检测到多数相关条件，为识别AI问责缺口提供实用工具。

Comments Extended version with appendix; final version to appear in the Proceedings of AAAI/ACM AIES 2026; v2: text encoding fix for author name, no content changes

Mitigating Error Accumulation in Co-Speech Motion Generation via Global Rotation Diffusion and Multi-Level Constraints

通过全局旋转扩散和多级约束缓解语音同步运动生成中的误差累积

Xiangyue Zhang, Jianfang Li, Jianqiang Ren, Jiaxu Zhang

AI总结 本文提出GlobalDiff，通过全局旋转扩散和多级约束缓解语音同步运动生成中的误差累积，提升生成运动的平滑度和准确性。

Comments AAAI 2026. Project page: this https URL (https://xiangyuezhang.com/GlobalDiff/;) code and pretrained models: this https URL (https://github.com/Xiangyue-Zhang/GlobalDiff)