mlsanityData to 7 Oct 2026

On the Ethical Considerations of Generative Agents

arXiv 2411.19211 ↗First posted 28 Nov 2024cs.CY cs.AI cs.ETcited by 4

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

The Generative Agents framework recently developed by Park et al. has enabled numerous new technical solutions and problem-solving approaches. Academic and industrial interest in generative agents has been explosive as a result of the effectiveness of generative agents toward emulating human behaviour. However, it is necessary to consider the ethical challenges and concerns posed by this technique and its usage. In this position paper, we discuss the extant literature that evaluate the ethical considerations regarding generative agents and similar generative tools, and identify additional concerns of significant importance. We also suggest guidelines and necessary future research on how to mitigate some of the ethical issues and systemic risks associated with generative agents.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 21 of its 57 references that are in the map. First posted on arXiv 28 Nov 2024.

Builds on

21 of 57 references.

Closest ancestors · 1

Same direction, newest first

  1. 2023Harms from Increasingly Agentic Algorithmic Systems20 Feb

Other references · 20

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  2. 2023Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injectioncited by 1,339
  3. 2023In-Context Retrieval-Augmented Language Modelscited by 694
  4. 2024A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Modelscited by 450
  5. 2023Benchmarking Large Language Models in Retrieval-Augmented Generationcited by 307
  6. 2020The Creation and Detection of Deepfakes: A Surveycited by 246
  7. 2021Sustainable AI: Environmental Implications, Challenges and Opportunitiescited by 242
  8. 2024Foundational Challenges in Assuring Alignment and Safety of Large Language Modelscited by 193
  9. 2023From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inferencecited by 168
  10. 2024The Ethics of Advanced AI Assistantscited by 103
  11. 2024A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Modelscited by 95
  12. 2017The spread of low-credibility content by social botscited by 73
8 more
  1. 2023LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Modelscited by 71
  2. 2024Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Modelscited by 42
  3. 2023GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Modelscited by 40
  4. 2021The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systemscited by 39
  5. 2021Unraveling the Hidden Environmental Impacts of AI Solutions for Environmentcited by 32
  6. 2024Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysiscited by 19
  7. 2024Vocabulary Attack to Hijack Large Language Model Applicationscited by 12
  8. 2023Deceptive AI Ecosystems: The Case of ChatGPTcited by 7

Built on by

Cited by year

Citing papers per year: 2025: 4.

4 papers.

  1. 2025Towards Scientific Intelligence: A Survey of LLM-based Scientific Agentscited by 96
  2. 2025From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discoverycited by 74
  3. 2025Limits to AI Growth: The Ecological and Social Consequences of Scalingcited by 2
  4. 2025Let's Get You Hired: A Job Seeker's Perspective on Multi-Agent Recruitment Systems for Explaining Hiring Decisionscited by 2

Similar, not cited

Close in wording, no citation either way

  1. 2025Auditing the Ethical Logic of Generative AI Models
  2. 2025Who is Responsible? The Data, Models, Users or Regulations? A Comprehensive Survey on Responsible Generative AI for a Sustainable Future
  3. 2025EthicAlly: a Prototype for AI-Powered Research Ethics Support for the Social Sciences and Humanities
  4. 2025Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation
  5. 2024Informed AI Regulation: Comparing the Ethical Frameworks of Leading LLM Chatbots Using an Ethics-Based Audit to Assess Moral Reasoning and Normative Values
  6. 2024Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Language Model Agents
  7. 2026Prompt Sensitivity of Generative Agents: Evidence from an Epidemic Model
  8. 2026Front-End Ethics for Sensor-Fused Health Conversational Agents: An Ethical Design Space for Biometrics