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Unnecessarily Complicated: Hidden Bias in the English Language Influences Everyone – Even AI Chatbots

A study reveals that language related to “improvement” is more closely aligned with addition rather than subtraction, potentially leading to overcomplicated solutions. This addition bias is deeply embedded in the English language and can negatively impact decision-making, as people may favor adding more layers or elements instead of simplifying.

A new study reveals that a linguistic bias in the English language, which encourages us to “improve” things by adding to them rather than subtracting, is so widespread that it has even been ingrained in  AI chatbots.

Language that deals with the idea of “improvement” is often associated more with enhancement, rather than reduction. This can prompt us to take actions that unnecessarily complicate the things we aim to enhance.

An international research team from the Universities of Birmingham, Glasgow, Potsdam, and Northumbria University has published a study in the journal Cognitive Science detailing their findings.

Dr. Bodo Winter, Associate Professor in Cognitive Linguistics at the University of BirminghamFounded in 1825 as the Birmingham School of Medicine and Surgery, the University of Birmingham (informally Birmingham University) is a public research university located in Edgbaston, Birmingham, United Kingdom. It is a founding member of both the Russell Group, an association of public research universities in the United Kingdom, and Universitas 21, an international network of research-intensive universities. ” data-gt-translate-attributes=”[{“attribute”:”data-cmtooltip”, “format”:”html”}]”>University of Birmingham said: “Our study builds on existing research which has shown that when people seek to make improvements, they generally add things.

“We found that the same bias is deeply embedded in the English language. For example, the word ‘improve’ is closer in meaning to words like ‘add’ and ‘increase’ than to ‘subtract’ and ‘decrease’, so when somebody at a meeting says, ‘Does anybody have ideas for how we could improve this?,’ it will already, implicitly, contain a call for improving by adding rather than improving by subtracting.”

The research also finds that other verbs of change like ‘to change’, ‘to modify’, ‘to revise’ or ‘to enhance’ behave in a similar way, and if this linguistic addition bias is left unchecked, it can make things worse, rather than improve them. For example, improving by adding rather than subtracting can make bureaucracy become excessive.

This bias works in reverse as well. Addition-related words are more frequent and more positive in ‘improvement’ contexts rather than subtraction-related words, meaning this addition bias is found at multiple levels of English language structure and use.

The bias is so ingrained that even AI chatbots have it built in. The researchers asked GPT-3, the predecessor of ChatGPT, what it thought of the word ‘add’. It replied: “The word ‘add’ is a positive word. Adding something to something else usually makes it better. For example, if you add sugar to your coffee, it will probably taste better. If you add a new friend to your life, you will probably be happier.”

Dr. Winter concludes: “The positive addition bias in the English language is something we should all be aware of. It can influence our decisions and mean we are pre-disposed to add more layers, more levels, more things when in fact we might actually benefit from removing or simplifying.

“Maybe next time we are asked at work, or in life, to come up with suggestions on how to make improvements, we should take a second to consider our choices for a bit longer.”

Reference: “More is better: language statistics are biased towards addition” by B. Winter, M. H. Fischer, C. Scheepers and A. Myachykov, 3 April 2023, Cognitive Science.
DOI: 10.1111/cogs.13254

Source: SciTechDaily