{"id":226134,"date":"2021-04-14T01:42:24","date_gmt":"2021-04-13T22:42:24","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/people-trust-the-algorithm-more-than-each-other\/"},"modified":"2021-04-14T01:42:24","modified_gmt":"2021-04-13T22:42:24","slug":"people-trust-the-algorithm-more-than-each-other","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/people-trust-the-algorithm-more-than-each-other\/","title":{"rendered":"#People trust the algorithm more than each other"},"content":{"rendered":"

“#People trust the algorithm more than each other<\/strong>”
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Our daily lives are run by algorithms. Whether we\u2019re shopping online, deciding what to watch, booking a flight, or just trying to get across town, artificial intelligence is involved. It\u2019s safe to say we rely on algorithms, but do we actually trust them?<\/p>\n

Up front:<\/strong> Yes. We do. A trio of researchers from the University of Georgia recently conducted a study<\/a> to determine whether humans are more likely to trust an answer they believe was generated by an algorithm or crowd-sourced from humans.<\/p>\n

The results indicated that humans were more likely to trust algorithms when problems become to complex for them to trust their own answers.<\/p>\n

Background:<\/strong> We all know that, to some degree or another, we\u2019re beholden to the algorithm. We tend to trust that Spotify and Netflix know how to entertain us. So it\u2019s not surprising that humans would choose answers based on the sole distinction that they\u2019ve been labeled as being computer-generated.<\/p>\n

But the interesting part isn\u2019t that we trust machines, it\u2019s that we trust them when we probably shouldn\u2019t.<\/p>\n

How it works:<\/strong> The researchers tapp<\/a>ed 1,500 participants for the study. Participants were asked to look at a series<\/a> of images and determine how many people were in each image. As the number of people in the image increased, humans gained less confidence in their answers and were offered the ability to align their responses with either crowd-sourced answers from a group of thousands of people, or answers they were told had been generated by an algorithm.<\/p>\n

Per the study:<\/p>\n

In three preregistered online experiments, we found that people rely more on algorithmic advice relative to social<\/a> influence as tasks become more difficult. All three experiments focused on an intellective task with a correct answer and found that subjects relied more on algorithmic advice as difficulty increased. This effect persisted even after controlling for the quality of the advice, the numeracy and accuracy of the subjects, and whether subjects were exposed to only one source of advice, or both sources.<\/p>\n<\/blockquote>\n

The problem here is that AI isn\u2019t very well suited for a task such as counting the number of humans in an image. It may sound like a problem built for a computer \u2013 it\u2019s math-based, after all \u2013 but the fact of the matter is that AI often struggles to identify objects in images especially when there aren\u2019t clear lines of separation between objects of the same type.<\/p>\n

Quick take:<\/strong> The research indicates the general<\/a> public is probably a little confused about what AI can do. Algorithms are getting stronger and AI has become an important facet of our everyday lives, but it\u2019s never a good sign when the average person seems to believe a given answer is better <\/i>just because they think it was generated by an algorithm. <\/span><\/p>\n<\/div>\n