Categories: FAANG

From Interaction to Impact: Towards Safer AI Agents Through Understanding and Evaluating Mobile UI Operation Impacts

With advances in generative AI, there is increasing work towards creating autonomous agents that can manage daily tasks by operating user interfaces (UIs). While prior research has studied the mechanics of how AI agents might navigate UIs and understand UI structure, the effects of agents and their autonomous actions—particularly those that may be risky or irreversible—remain under-explored. In this work, we investigate the real-world impacts and consequences of mobile UI actions taken by AI agents. We began by developing a taxonomy of the impacts of mobile UI actions through a series of…
AI Generated Robotic Content

Recent Posts

Chroma Radiance, Mid training but the most aesthetic model already imo

submitted by /u/Different_Fix_2217 [link] [comments]

13 hours ago

From human clicks to machine intent: Preparing the web for agentic AI

For three decades, the web has been designed with one audience in mind: People. Pages…

14 hours ago

Best GoPro Camera (2025): Compact, Budget, Accessories

You’re an action hero, and you need a camera to match. We guide you through…

14 hours ago

What tools would you use to make morphing videos like this?

submitted by /u/nikitagent [link] [comments]

2 days ago

Bias after Prompting: Persistent Discrimination in Large Language Models

A dangerous assumption that can be made from prior work on the bias transfer hypothesis…

2 days ago

Post-Training Generative Recommenders with Advantage-Weighted Supervised Finetuning

Author: Keertana Chidambaram, Qiuling Xu, Ko-Jen Hsiao, Moumita Bhattacharya(*The work was done when Keertana interned…

2 days ago