How can we build ethical generative agents?
On the Ethical Considerations of Generative Agents
December 2, 2024
https://arxiv.org/pdf/2411.19211This paper explores the ethical implications of generative agents, AI systems that simulate human behavior using large language models (LLMs). It examines existing research and identifies key concerns, including:
- Anthropomorphism: Attributing human characteristics to agents, leading to misinterpretations of experimental results and parasocial relationships.
- Trust and Skepticism: Over-reliance on agents and insufficient critical analysis, contributing to misinformation.
- Malicious Use: Exploitation by bad actors for scams, disinformation, and cyberattacks.
- Hijacking: Vulnerability to attacks that manipulate agent behavior.
- Labor Displacement: Potential for widespread job losses due to automation.
- Exploitation and Environmental Impact: Ethical sourcing of materials for hardware and minimizing energy consumption.
For LLM-based multi-agent systems, the paper highlights the need to address these challenges through technical solutions (e.g., uncertainty identification, transparency, robust security measures), responsible development practices, and policy interventions. It emphasizes careful consideration of when and how to deploy generative agents, prioritizing collaboration over replacement of human labor, and minimizing environmental impact.