concept
Society-in-the-Loop
Negotiating stakeholder values and monitoring an algorithmic social contract.
Also known as: SITL, Algorithmic Social Contract
Iyad Rahwan’s society-in-the-loop proposal extends human-in-the-loop oversight to the people affected by algorithmic systems. Its social contract involves negotiating stakeholder values and monitoring compliance.
The 2017 paper presents a governance framework and research agenda, not a finished method for encoding society’s values.
For Social Alignment, the question is who participates in setting the terms and who can challenge the outcome. One operator’s approval is not automatically agreement from everyone affected.
Iyad Rahwan distinguishes negotiation about benefits and costs from simple operator approval. Training Socially Aligned Language Models in Simulated Human Society draws on simulated interactions, whose agreement does not itself establish consent by affected people.
Institutions as part of the risk model
Current and Near-Term AI as a Potential Existential Risk Factor proposes impaired collective decision-making as an intermediate risk factor (§5.1).[2] An editorial question for a social contract is therefore whether affected people retain the capacity to investigate a problem, deliberate and revise the terms. Negotiation on paper needs institutions capable of acting on it.
Sources
Pages that link here
- Current and Near-Term AI as a Potential Existential Risk Factor paper
- From objectives to accountable control note
- Iyad Rahwan person
- Meaningful Human Control concept
- Research paths from the earlier book note
- Social Alignment concept
- Society-in-the-Loop: Programming the Algorithmic Social Contract paper
- The Challenge of Value Alignment: from Fairer Algorithms to AI Safety paper
- Who Supplies Alignment Feedback? note
Last updated 2026-10-10