6. You need to create a search statement to find peer-reviewed studies about bias in AI tools used by universities, including variants like bias, biased, or biases. Which search statement is the best?

Question

BlackTom AI · Accepted Answer

To approach this question, I will compare how each option constructs the search statement and how well it targets peer-reviewed studies on bias in AI tools used by universities.
Option A: bias* AND AI AND (university OR college)
This option uses a broad approach: it includes bias* and AI, and limits context to (university OR college). While it captures basic keywords, it omits the phrase AI tools and does not explicitly limit to higher education or peer-reviewed sources. It may miss studies that refer to AI tools in a university setting, and “university OR college” is a fairly wide filter that could pull in non-peer-reviewed sources or unrelated contexts. Overall, it is not as precise for the intended scope.
Option B: "bias in AI" AND universit*
This version uses a phrase "bias in AI," which is specific, but the rest of the query relies on universit* to capture university-related terms. It lacks explicit mention of AI tools, higher education, or peer-reviewed status. It may exclude relevant papers that discuss bias in AI tools without the exact phrase, and it could include general university contexts that are not about AI in tools. The absence of tool-specific terms reduces comprehensiveness for this topic.
Option C: (bias* OR "AI tools") AND peer-reviewed
Here, the query adds peer-reviewed to filter for quality, which is good. However, it only requires bias* or AI tools, but does not specify the institutional context (universit*, higher education) nor explicitly tie bias to university settings. It could retrieve peer-reviewed articles about bias in AI tools in other domains (industry, healthcare) rather than universities, which dilutes relevance to the requested scope.
Option D: (bias* AND "AI tools") AND (universit* OR "higher education")
This option combines key elements precisely: bias* and AI tools are linked together with AND to ensure both concepts appear, and then it restricts results to university-related contexts using (universit* OR "higher education"). It captures variants like bias, biased, or biases via the wildcard and includes the exact phrase AI tools to reflect tools used in education. It also confines results to higher education settings, which aligns with the user’s target. The structure balances specificity and scope, increasing the likelihood of retrieving peer-reviewed studies that discuss bias in AI tools within universities.
In summary, option D best satisfies the criteria of focusing on bias in AI tools used by universities and preserving flexible variations (bias*, AI tools) while restricting to university/higher education contexts. The other options either miss the tool-context, broaden the scope undesirably, or rely on phrases that may not consistently capture the intended topic across databases.

6. You need to create a search statement to find peer-reviewed studies about bias in AI tools used by universities, including variants like bias, biased, or biases. Which search statement is the best?Single choice

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