Why do humans trust machines even when they know machines can be wrong?

By Evelyn S.

Insights For Youth

Evelyn Su

August 21, 2026

Technology

Why we trust technology

As technology becomes more advanced, people are depending on machines for more parts of their everyday lives, including directions, schoolwork, communication, and other important decisions. Even though people understand that machines and artificial intelligence are prone to making mistakes, they often continue to trust the answers they provide. Technology is becoming more involved in the choices people make, which can affect how much they rely on their own judgement. Understanding why humans trust machines can also help explain how people think and respond to technology. Humans continue to trust machines because they often seem consistent and reliable, algorithmic advice can appear convincing, and repeated use can make people more comfortable depending on technology.

Consistency Creates Confidence

One reason people trust machines is because automated systems can seem more reliable than humans. Machines are often used for repetitive tasks because they can perform these jobs with consistency that may be difficult for a person to maintain. Researchers Spencer Kohn and his colleagues explain that automation can offer “greater consistency and accuracy than a human could provide” (Kohn et al.). When people constantly see machines completing tasks correctly, they start to depend on them and expect them to continue functioning the same way. Trust is important when people are uncertain about a machine’s reliability but must still decide whether to use it. The researchers explain that trust in automation matters when someone faces uncertainty and when there are risks connected to the machine’s performance (Kohn et al.). Because of this, people don’t necessarily trust machines because they believe machines are perfect. Instead, they may trust them because they think the machine is reliable enough to help them even though there is a possibility of failure. This explains why people continue to rely on machines despite knowing that it can sometimes make errors.

Preference for Algorithmic Advice

Another reason people trust machines is that they may see advice from an algorithm as more reliable or trustworthy. This can happen because people often see algorithms as a useful way for making judgements. Researchers Jennifer Logg, Julia Minson, and Don Moore studied this idea in six experiments. They found that ordinary people “adhere more to advice when they think it comes from an algorithm than from a person” (Logg et al. 90). The researchers describe this behavior as “algorithm appreciation” (Logg et al. 90). Participants preferred advice from algorithms when making estimates and predictions about things like song popularity and romantic attraction (Logg et al. 90). This shows that people may rely more on advice simply because it comes from an algorithm. Even when they know algorithms can make mistakes, they may still follow their suggestions because they believe the advice is useful. However, the researchers also found that experienced professionals relied less on algorithmic advice than ordinary participants, and this actually lowered the professionals’ accuracy (Logg et al. 90). Overall, people trust machines because algorithmic advice can be convincing enough to influence their decisions, even when they know a machine can be wrong.

How Machines Can Influence Our Trust

Even though machines can be helpful, people should be able to question them instead of always accepting their answer. BBC Future explains that people may struggle to judge whether machines are trustworthy because humans are used to judging trust through other people, not technology (Baraniuk). The article also discusses “automation bias,” which can cause people to place too much confidence in automated systems and overlook mistakes when a computer is in control (Baraniuk). Because of this, people shouldn’t assume that a machine is correct because it seems advanced or confident. Instead, important information should be checked, especially when some decisions involve safety and personal information. Baraniuk explains that humans now place “our money, our personal data and even our lives” under machines (Baraniuk). As technology becomes more common in everyday life, learning to question these decisions and use our own judgement will become increasingly important. Machines can be helpful, but people should know their limits and when human judgement is needed.

Conclusion

To conclude, people continue to trust machines even when they know machines are prone to mistakes. When machines repeatedly work correctly, people may depend on them and trust their advice when making important decisions. At the same time, automation bias can cause people to rely too much on technology and overlook possible errors. As machines become more involved in everyday life, people need to learn to trust their own judgement. Technology can be a valuable resource, but humans should still question important information and understand that a machine’s answer isn’t always reliable.

Works Cited:

Kohn, Spencer C., et al. “Measurement of Trust in Automation: A Narrative Review and Reference Guide.” Frontiers in Psychology, 18 Oct. 2021, Frontiers | Measurement of Trust in Automation: A Narrative Review and Reference Guide

Logg, Jennifer M., Julia A. Minson, and Don A. Moore. “Algorithm Appreciation: People Prefer Algorithmic to Human Judgement.” Harvard Kennedy School, Mar. 2019, Algorithm Appreciation: People Prefer Algorithmic to Human Judgment | Harvard Kennedy School

Baraniuk, Chis. “Why We Place Too Much Trust in Machines.” BBC Future, 20 Oct. 2021, Why we place too much trust in machines