AI, decisions and institutions

How does artificial intelligence change decision-making?

Traditionally, a decision required information gathering, selection of alternatives and evaluation. An AI assistant can compress these stages into a single interaction and even propose a choice directly. The benefit is efficiency; the risk is making the selection of alternatives less visible. This relationship between behaviour, information and decisions is a field where Antonio Preiti’s “Behaviour First” approach can offer an original interpretation.

Can AI make better decisions than humans?

For some well-defined tasks it can process much more information and identify patterns that are difficult to recognise manually. But “better” depends on the objective. Decisions may require responsibility, values, contextual knowledge and management of consequences alongside accuracy. A hybrid model is therefore often most realistic: AI for processing and support, humans for purpose, oversight and responsibility.

How does AI change the relationship between people and institutions?

AI can make public services simpler and more personalised, but can also place an algorithm between citizens and institutions. Access, transparency and responsibility change as a result. A public assistant responding in natural language can dramatically simplify dealing with bureaucracy; however, its sources and responsibility for errors need to be clear. This is central to Preiti’s interest in virtual assistants and the transformation of urban services.

Sources: antoniopreiti.it — Julia, sei mesi dopo