The article argues that AI companies should be held responsible when their models make costly mistakes, drawing analogies to product liability in other industries.
Just to be clear here, I'm not saying that all mistakes are make by the model and companies should be responsible for all of these. But I think there are many cases they should be, for example: * I ask model to run tests, model runs then, finds connectivity issue, fixes it by connecting to production db (without asking for approval as this is just file change or model) and wipes out entire production database. This is model going too far and not following what user asked the model to do. In normal life of someone order some meat and potato I cannot charge them extra for very expensive vine. * I ask model to add a new feature, models does that and runs the tests, it finds some problems not related to the new features, but it tries to fix it anyway, causing me to spend 30 minutes to revert it work. Again in normal life if I ask mechanic to fix oil leak but he scratch both doors he is responsible for this. * I asked model clearly to add me a forgot-password feature with clear specification, it costs me 5$ but model is not able to delivery this, hallucinate a bit and I get not working features. Again normal life if I hire someone to fix electricity in the house and they said "sure no problem you will have it in 2 minutes" they cannot charge me for entire day saying "btw I don't know what the problem is so it's still not fixed". Why in all these cases I should pay for model mistakes and for buggy software that is causing the problem? I agree that the model is just an assistant in theory, but it's bullshit in practice - models sometimes follow the instructions, sometimes they ignore them and everyone is saying "this is just the nature".. when I buy a car and sometimes break pedal works sometimes it does not because car has design issue - I'm not responsible for all the car incidents and I can sue manufacturer to cover all costs etc and if I prove this I event don't need to sue them... In case of AI all "manufacturers" claim that everything works perfectly, that AI writes 90% of code, it improves itself, soon we won't need developers the models are so amazing, at the same time the makes mistakes all the time for our money.
This article explores the question of responsibility when an AI agent makes a costly mistake, examining legal and ethical implications for developers, users, and regulators.
The article discusses the shift in liability as AI agents take over consumer tasks, arguing that companies are offloading the cost of AI mistakes onto users rather than bearing it themselves.
This article explores the question of who should be held responsible when AI agents provide incorrect suggestions, considering the roles of developers, model providers, data suppliers, platforms, and users, and raises key issues for building a trustworthy agent ecosystem.
Bruce Schneier comments on a German ruling holding Google liable for errors in its AI overviews, arguing that AI agents should be treated as agents of their deployers.
An analysis arguing that companies fail at AI because they focus on the model rather than the foundational layers—process design, governance, knowledge architecture, human judgment, and feedback loops—which are the true sources of value. The article cites Nadella's 'token capital' concept, Apple's model-swappable Siri, and survey data showing a wide gap between strategy and execution.