Summary of Voice-enabled Ai Agents Can Perform Common Scams, by Richard Fang et al.
Voice-Enabled AI Agents can Perform Common Scams
by Richard Fang, Dylan Bowman, Daniel Kang
First submitted to arxiv on: 21 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
Summary difficulty | Written by | Summary |
---|---|---|
High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper explores the development of voice-enabled AI agents, which have been made possible by recent advances in multi-modal language models (LLMs). These agents are being used to create innovative applications, such as autonomous customer service. However, like all AI capabilities, these new technologies also pose the risk of dual use. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about creating special kinds of computers that can talk and understand voice commands. It’s like having a super smart robot assistant! The goal is to make it easier for businesses to have helpful chatbots that can answer customer questions. But just like how people use technology in different ways, these new computer systems could be used for good or not-so-good things. |
Keywords
» Artificial intelligence » Multi modal