11 Questions
Which of the following is a key ethical consideration when using generative AI tools?
Whether the tool attributes the sources/creators of the data it uses
What does the text suggest as a potential consequence of using generative AI tools unethically or improperly?
Academic misconduct or plagiarism may occur
Which of the following is NOT a recommended practice when using generative AI tools?
Asking the tool to directly recite or plagiarize content verbatim
What does the text suggest users should do to ensure ethical use of generative AI tools?
Note the circumstances of use and check relevant policies
Which of the following is a potential concern regarding the data used by generative AI tools?
The data may not be properly attributed to its sources and creators
Which of the following is NOT a key consideration when evaluating the credibility of AI-generated information using the CRAPP-E framework?
Comprehensiveness - determining if the information covers all relevant aspects of the topic
According to the passage, what is a potential concern regarding the use of AI-generated responses in academic settings?
AI lacks the capacity to make independent judgments or think critically
According to the CRAPP-E framework, which of the following is NOT a factor to consider when evaluating the 'Currency' of an AI tool?
The academic reputation of the tool's creators
Which of the following statements best reflects the passage's stance on the use of AI-generated information in academic settings?
AI-generated information can be used, but its validity and credibility should be carefully evaluated
According to the passage, which of the following factors should be considered when evaluating the 'Authority' of an AI tool?
The creators' expertise and the company's mission and resources
According to the passage, what is a potential concern regarding the intrinsic design of some AI tools?
They may push users towards certain patterns of thought and activity
Study Notes
Ethical Considerations of Using Generative AI
- Generative AI collects data about the user, which is used to provide responses, but the data's protection and sourcing are important ethical considerations.
Evaluating the Ethics of Generative AI Use
- It is crucial to consider the tool's collection and use of data, attribution of sources, and potential conflicts with task goals.
- Users must check the exam policy on permitted use of generative AI and properly reference the tool according to the MQ resource guide.
Academic Misconduct and Generative AI
- Academic misconduct can occur when generative AI is used in prohibited assignments or not properly referenced.
- Plagiarism by the tool is possible, and users should be aware of this risk.
The Importance of AI Literacy
- Using generative AI in university studies can improve time efficiency and develop AI literacy, a valuable skill in the modern workforce.
- However, users must recognize that AI lacks the capacity for independent judgment, which can compromise the validity and credibility of information.
Evaluating the Reliability of Generative AI Responses
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The CRAPP-E acronym can be used to evaluate the reliability of generative AI responses:
C (Currency)
- Consider the tool's creation date and the currency of the information it uses.
- Evaluate if new data or tools have been developed since the tool's creation.
R (Relevance)
- Determine if the tool's responses meet your needs and are relevant to your topic.
- Recognize that the quality of responses depends on the user's research skills and prompt framing.
A (Accuracy)
- Assess the accuracy of the tool's responses and the presence of citations or references.
- Verify the authenticity of citations and supporting information.
A (Authority)
- Identify the tool creators and their expertise, including the company mission and resources.
- Recognize the potential biases and perspectives of the tool creators.
P (Purpose)
- Determine the purpose of the tool's creation and its potential influence on the user's thought patterns and activities.
- Evaluate if the tool's design promotes certain patterns of thought and activity.
Explore the ethical considerations of using generative AI in university studies, focusing on its role in enhancing time efficiency and preparing students with AI literacy for the workforce. Learn about the limitations of AI in making independent judgements before analyzing generated responses.
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