A municipality wants to imagine new services for a neighbourhood that has always received less attention. It consults a tool trained on descriptions of what other municipalities have already done. The answer may be useful while leaving a problem intact: available experience may reflect priorities the municipality wants to change. This hypothetical scene presents a recognisable difficulty. Having more proposals does not ensure that the range of desirable possibilities has widened.
Shannon Vallor's The AI Mirror presents AI through the image of a mirror of the past and calls for renewed moral capacity and imagination about the future. Oxford's synopsis emphasises that useful technology can reproduce errors and limitations in our data. That thesis opens a question about purposes: what we want to do with technical possibilities, besides asking which are available. Source: Oxford University Press
When the recommendation defines the question
Our hypothetical municipality could use the model to compare costs, organise experience and discover alternatives its officials did not know. Trouble would arise if it treated that repertoire as the boundary of reasonable choice. A practice may be unusual because it lacks value, encountered political obstacles or never received funding for an initial trial. The frequency of a precedent cannot distinguish between those explanations without further investigation.
The institution needs to hear proposals that do not fit the system's categories if it is to identify neglected needs. A resident might request opening hours compatible with night work, even though the examples favour daytime provision. Her demand introduces knowledge and a reason that the stock of available precedents does not exhaust.
Moral imagination therefore needs an organisation that gives it practical consequences. Reserving space for different ideas achieves little if every idea is judged using an indicator that already favours familiar solutions. It may be necessary to compare unevenly distributed benefits, trial an alternative on a small scale or explain why a particular need deserves priority. That involves contestable choices and costs; a proposal's originality does not automatically make it fair.
Novelty does not guarantee improvement
The mirror metaphor has an important analytical limit: a new combination of familiar material can produce a valuable idea. Historical training data do not prove that every answer literally reproduces the past or that an unaided person would imagine something better. Examine which alternatives appear, which disappear and how the choice is made. The normative question retains its force even when the system produces surprising technical innovations.
Distributing all responsibility among individual users would also be insufficient. An official may want to explore alternatives but lack the budget to test them. A supplier may offer a flexible instrument under a contract that rewards speed alone. Opportunities to imagine and to act diverge when the institution rewards completion before discussion of the objective. Changing the interface will not necessarily change that incentive or give a resident's proposal any chance of being funded.
Vallor's invitation is a fertile entry point to these questions. The concrete decision begins where the list of suggestions ends: which need deserves attention, which alternative can be tested and who answers if its costs fall on others. A municipality can use accumulated memory without appointing it to decide what future residents are entitled to request.