When technology doesn't work, we tend to look for someone to blame. A self-driving car crashes, an AI system generates false information, or an algorithm makes a decision that harms real people. Companies often blame user error. Developers say the incident is an unexpected behavior, and users argue that they trusted the system to work correctly. With technology becoming more autonomous and deeply ingrained in our daily lives, it is getting difficult to trace back a lack of responsibility, which is now shared between corporations, designers, and the general public.
Traditional tools couldn't make decisions on their own, but this is something that separates modern technology from traditional tools; technology can make decisions on its own. Algorithms today decide what content we are exposed to, how we are judged, and even which opportunities we get, in ways that humans can't realistically keep up with in real time. These systems can be up to thousands or millions of times faster and wider reaching. When the system fails, the failure is attributed to a flaw in the technology rather than to the designer's failure. Users usually judge things based on their experience, but the decisions about the training data, the level of risk, and the allowed error rate are made long before the user is aware of the system. So, in that regard, the failure of technology is hardly a mistake; it is part of the system's framework.
On the other hand, the burden of accountability should not fall solely on developers and companies. People have become so used to trusting systems that they don't even realize they frequently put convenience ahead of awareness. We tend to view automation as neutral, efficient, and objective, even when the facts show otherwise. This uncritical trust is what keeps flawed systems going with hardly any opposition. By not questioning technological decisions, users become accomplices in a culture of unaccountability.
At the core of it, the problem is not the possibility of technology failing but the survival of responsibility when it happens. When culpability is thrown around among the code, the company, and the user, none of them actually takes full responsibility for the outcome. If machines are designed to perform all operations without human intervention, responsibility cannot simply be discarded or transferred. It is absolutely necessary that there be a human being clearly responsible for the impact of technology on the real world. As long as responsibility is neither identified nor enforced, technological breakdowns will continue to occur covertly. In consequence, the fallout will be the first to show up, and the blame, the last.