AI-Assisted Assessment and Bias in Algorithms
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Questions and Answers

Match the types of bias in AI-assisted assessment with their descriptions:

Statistical bias = Bias occurring due to the system being based on a biased dataset Algorithm bias = Bias introduced through poorly designed or implemented algorithms Human bias = Bias that happens when human reviewers are influenced by the results of an AI system Exclusion and marginalisation = Potential negative effects of AI if not implemented consciously

Match the potential uses of AI in universities with their descriptions:

Tailoring lessons = Using AI to adapt lessons to each individual student Streamlining administrative processes = Using AI to make administrative tasks more efficient Insights into learner's habits and motivations = Using AI to gain a deeper understanding of each student's learning patterns

Match the concerns about AI-assisted assessment with their descriptions:

Potential for bias = Concern that algorithms may lead to unfair or inaccurate results Exacerbation of exclusion and marginalisation = Concern that AI may further isolate or discriminate against certain groups Faultline = An area of potential risk or conflict in the use of AI

Match the causes of bias in AI-assisted assessment with their descriptions:

<p>Biased dataset = A cause of statistical bias where the data used to train the AI is not representative Poorly designed or implemented algorithms = A cause of algorithm bias where the algorithm itself contains or introduces bias Influence of AI system results = A cause of human bias where human reviewers are influenced by the AI's output</p> Signup and view all the answers

Match the potential effects of AI-assisted assessment with their descriptions:

<p>Unfair or inaccurate results = Possible outcome of bias in AI-assisted assessment Revolutionising the university system = Potential positive impact of AI use in higher education Exacerbation of exclusion and marginalisation = Potential negative impact if AI is not implemented consciously</p> Signup and view all the answers

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