mlsanityData to 7 Oct 2026

Voice-Enabled AI Agents can Perform Common Scams

arXiv 2410.15650 ↗First posted 21 Oct 2024cs.AIcited by 5

On the map: LLM agents and tool use → Agent threats, guardrails and governance

Abstract (arXiv)

Recent advances in multi-modal, highly capable LLMs have enabled voice-enabled AI agents. These agents are enabling new applications, such as voice-enabled autonomous customer service. However, with all AI capabilities, these new capabilities have the potential for dual use. In this work, we show that voice-enabled AI agents can perform the actions necessary to perform common scams. To do so, we select a list of common scams collected by the government and construct voice-enabled agents with directions to perform these scams. We conduct experiments on our voice-enabled agents and show that they can indeed perform the actions necessary to autonomously perform such scams. Our results raise questions around the widespread deployment of voice-enabled AI agents.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 8 of its 14 references that are in the map. First posted on arXiv 21 Oct 2024.

Builds on

8 of 14 references.

Closest ancestors · 2

Same direction, newest first

  1. 2024Teams of LLM Agents can Exploit Zero-Day Vulnerabilities2 Jun
  2. 2024LLM Agents can Autonomously Hack Websites6 Feb

Other references · 6

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2023GPT-4 Technical Reportcited by 18,132
  3. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  4. 2021Ethical and social risks of harm from Language Modelscited by 957
  5. 2023Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attackscited by 268
  6. 2024On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trialcited by 105

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 2.

5 papers.

  1. 2025Levels of Autonomy for AI Agentscited by 45
  2. 2025Infrastructure for AI Agentscited by 40
  3. 2026A Survey of Agentic AI and Cybersecurity: Challenges, Opportunities and Use-case Prototypescited by 19
  4. 2026Open-Jev Judgments on CallScreenBench: Calibrated One-Pass Scam Screening with a Small Language Modelcited by 7
  5. 2025From Turing to Tomorrow: The UK's Approach to AI Regulationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025ScamAgents: How AI Agents Can Simulate Human-Level Scam Calls
  2. 2026Aegis: Towards Governance, Integrity, and Security of AI Voice Agents
  3. 2025CASE: An Agentic AI Framework for Enhancing Scam Intelligence in Digital Payments
  4. 2025Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams
  5. 2026Black-Box Forensics for Conversational LLM Agents
  6. 2026ScamPilot: Simulating Conversations with LLMs to Protect Against Online Scams ↗
  7. 2025Cloning a Conversational Voice AI Agent from Call,Recording Datasets for Telesales
  8. 2025A Survey of AI Agent Protocols