Learning Outcome 1: Written analysis and evaluation of AI language model responses, including identification of potential biases.
Assessment: Each learner conducts an analysis and evaluation of AI language model responses, focusing on accuracy, coherence, and potential biases. They submit a written analysis that includes identification and discussion of potential biases.
Instructions
Case Study Selection:
a) Choose an AI language model response or a set of responses for analysis. This can be obtained from a provided dataset, online sources, or generated interactions with an AI language model.
b) Ensure that the selected case study allows for a comprehensive analysis of the AI language model's responses, including aspects of accuracy, coherence, and potential biases.
Analysis and Evaluation:
a) Conduct a detailed analysis of the selected AI language model responses.
b) Evaluate the responses based on the following criteria:
Accuracy: Assess the correctness and factual accuracy of the responses.
Coherence: Evaluate the logical flow and coherence of the responses.
Potential Biases: Identify any potential biases present in the responses, such as gender, racial, or cultural biases, and analyze their implications.
c) Use evidence and examples from the responses to support your analysis and evaluation.
Written Analysis:
a) Prepare a written analysis of the AI language model responses, incorporating your findings from the analysis and evaluation.
b) Structure your analysis in a clear and organized manner, including the following sections:
Introduction: Provide background information on the AI language model and the context of the case study.
Analysis: Present your analysis of the responses, discussing the accuracy, coherence, and potential biases identified.
Evaluation: Assess the strengths and weaknesses of the AI language model's responses based on the identified criteria.
Discussion: Reflect on the implications of potential biases and their impact on users and society.
Conclusion: Summarize your key findings and insights from the analysis.
Submission:
a) Submit your written analysis following the specified guidelines and deadlines.
b) Ensure that your analysis is well-written, well-structured, and supported by evidence and examples from the AI language model responses.