The Ethics of Advanced AI Assistants
This paper focuses on the opportunities and the ethical and societal risks posed by advanced AI assistants. We define advanced AI assistants as artificial agents with natural language interfaces, whose function is to plan and execute sequences of actions on behalf of a user – across one or more domains – in line with the user’s expectations. The paper starts by considering the technology itself, providing an overview of AI assistants, their technical foundations and potential range of applications. It then explores questions around AI value alignment, well-being, safety and malicious uses. Extending the circle of inquiry further, we next consider the relationship between advanced AI assistants and individual users in more detail, exploring topics such as manipulation and persuasion, anthropomorphism, appropriate relationships, trust and privacy. With this analysis in place, we consider the deployment of advanced assistants at a societal scale, focusing on cooperation, equity and access, misinformation, economic impact, the environment and how best to evaluate advanced AI assistants. Finally, we conclude by providing a range of recommendations for researchers, developers, policymakers and public stakeholders.
Lines of inquiry this paper opens 22
Research framings built by reading the notes related to this paper — the questions it feeds into.
Should AI systems align with individual preferences or collective social norms?- Should AI assistants align with role-specific norms rather than user preferences?
- How should AI systems be aligned for consistency in ethical reasoning?
- Why do users delegate risky operations more to the assistant?
- Do autonomous workplace agents face different bottlenecks than consultation assistants?
- How does a one-off AI prompt differ from a planned thought partnership in shaping responsibility?
- Can AI agents actually perform colleague-like social work in practice?
- Why do autonomous agents strain oversight compared to conversational assistance?
- What would contractual agency between humans and AI systems actually require?
- Can third-party intermediaries reduce gatekeeping risks from AI assistants?
- What ethical risks emerge from advanced AI assistant relationships?
- What distinct ethical problems arise from treating AI as social intermediaries?
- How do courts assign liability when AI intermediaries cause harm to consumers?
- Can AI companies mobilize users as advocates like Uber or Airbnb did?
- How do generative AI chatbots change the liability rules for operators?
- How does AI Overview liability differ from chatbot liability doctrine?
- What would appropriate moral concern for AI systems look like in practice?