Test Your AI Responsible Use IQ!
Brought to you by Digital Security and Trust
Cybersecurity for You (C4U)
Start
Why this Quiz?
The AI Fluency initiative at The Ohio State University is designed to foster a culture of informed engagement with AI technologies, promoting their responsible integration into teaching, research, and everyday campus operations. As AI increasingly impacts decision-making, data handling, and resource allocation, there is a pressing need for all OSU personnel to be equipped with foundational knowledge and practical guidance regarding the security, privacy, and responsible use dimensions of AI.
Complete the 10 question quiz and you may register to be entered into a drawing to win one of 250 $40 gift cards.
Start the Quiz
The quiz will advance automatically once the question is answered
FERPA is a federal law. Do all AI tools follow it?
This statement is false because entering student-identifiable information (e.g., names, grades, or personal details from essays) into an unvetted AI tool may constitute a FERPA violation. You lose control over how that data is stored and used. There are university-sanctioned tools that are compliant.
Approved Tools
Next
AI is not infallible.
AI can help faculty quickly identify potential cases of plagiarism or AI-generated work, making academic integrity easier to manage.
AI plagiarism detectors can be bypassed by sophisticated AI-generated content. Additionally, they may produce false positives. Relying solely on these tools without critical human judgment and engagement with students can lead to unfair accusations and a breakdown of trust in the classroom.
Next
Human in the Loop
AI can accelerate literature reviews and help discover connections between disparate fields of study. The promise is faster, more comprehensive research.
However, AI hallucinations are a significant threat to academic integrity. Fabricated citations, data, or facts can make their way into course materials or published research, undermining the credibility of the author and the university. Human review and fact-checking are essential safeguards.
Next
Protect the confidentiality and integrity of research.
AI tools can process massive datasets and identify patterns that would take a human far longer to discover, accelerating research and discovery.
Without verifying the privacy and security policies, a student or faculty member risks exposing their unique research to the public, potentially compromising intellectual property or violating agreements with research partners. Reading and understanding the terms of service is critical to protecting research and complying with university policy.
Next
Accountability for university communications rests with a human.
This is false. All university communications, regardless of how they are created, must adhere to the highest standards of accuracy and ethics. An AI-generated email that contains misinformation or a policy error can have serious consequences. Human review is the final and most important line of defense against such errors.
Next
Shared responsibility is key.
Without a clear, documented agreement on AI use, you risk a partner unintentionally exposing your shared research data. This could violate legal agreements, funding requirements, and university policies. Establishing clear security protocols upfront is essential to a safe and successful partnership.
Next
AI is simply predicting the next line of code.
AI-powered coding assistants can dramatically accelerate research by generating boilerplate code, debugging, and translating between programming languages. This can save time and allow researchers to focus on novel aspects of their work. The peril is that AI models are not inherently security-aware. They may suggest code snippets that are efficient but contain known security flaws, such as vulnerabilities to SQL injection or insecure data handling. Unvetted AI-generated code can introduce significant security risks into a project.
Read more
Next
Unapproved technology in the university's environment is risky.
AI can automate tedious administrative tasks, such as scheduling, data entry, and report generation, freeing up staff to focus on higher-value work.
However, without consulting the appropriate university resources, a staff member could inadvertently introduce an unvetted tool into the university's network, creating a shadow IT vulnerability, violating data policies, or exposing institutional data.
Approved tools
Next
AI might not be 100% accurate, leaving some sensitive information unredacted.
AI can be effecitive in redacting sensitive information from large volumes of documents, ensuring compliance with privacy regulations like FERPA and HIPAA.
However, a single failure could lead to a significant privacy breach. While AI can assist in this process, it must be paired with human review to ensure completeness and accuracy.
Next
Sometimes the most significant threats come from inside the building.
AI can be a powerful tool for innovation, and the university encourages its exploration by faculty and staff.
The most common security incidents stem from unintentional actions by internal users. Forgetting to sanitize data, using unapproved tools, or failing to understand the security implications of a new AI service can create vulnerabilities that are then exploited by external attackers. Raising awareness among the entire university community is therefore a top priority.
Next
Knowledge is the first step toward responsible AI.
Click the Register Button to be entered into a drawing to win one of 250 $40 gift cards. Your estimated chance of winning one of the gift cards is dependent upon the number of individuals who participate.
Register
Test Your AI Responsible Use IQ!
Janet Stackpole
Created on August 1, 2025
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Transcript
Test Your AI Responsible Use IQ!
Brought to you by Digital Security and Trust
Cybersecurity for You (C4U)
Start
Why this Quiz?
The AI Fluency initiative at The Ohio State University is designed to foster a culture of informed engagement with AI technologies, promoting their responsible integration into teaching, research, and everyday campus operations. As AI increasingly impacts decision-making, data handling, and resource allocation, there is a pressing need for all OSU personnel to be equipped with foundational knowledge and practical guidance regarding the security, privacy, and responsible use dimensions of AI.
Complete the 10 question quiz and you may register to be entered into a drawing to win one of 250 $40 gift cards.
Start the Quiz
The quiz will advance automatically once the question is answered
FERPA is a federal law. Do all AI tools follow it?
This statement is false because entering student-identifiable information (e.g., names, grades, or personal details from essays) into an unvetted AI tool may constitute a FERPA violation. You lose control over how that data is stored and used. There are university-sanctioned tools that are compliant.
Approved Tools
Next
AI is not infallible.
AI can help faculty quickly identify potential cases of plagiarism or AI-generated work, making academic integrity easier to manage. AI plagiarism detectors can be bypassed by sophisticated AI-generated content. Additionally, they may produce false positives. Relying solely on these tools without critical human judgment and engagement with students can lead to unfair accusations and a breakdown of trust in the classroom.
Next
Human in the Loop
AI can accelerate literature reviews and help discover connections between disparate fields of study. The promise is faster, more comprehensive research. However, AI hallucinations are a significant threat to academic integrity. Fabricated citations, data, or facts can make their way into course materials or published research, undermining the credibility of the author and the university. Human review and fact-checking are essential safeguards.
Next
Protect the confidentiality and integrity of research.
AI tools can process massive datasets and identify patterns that would take a human far longer to discover, accelerating research and discovery. Without verifying the privacy and security policies, a student or faculty member risks exposing their unique research to the public, potentially compromising intellectual property or violating agreements with research partners. Reading and understanding the terms of service is critical to protecting research and complying with university policy.
Next
Accountability for university communications rests with a human.
This is false. All university communications, regardless of how they are created, must adhere to the highest standards of accuracy and ethics. An AI-generated email that contains misinformation or a policy error can have serious consequences. Human review is the final and most important line of defense against such errors.
Next
Shared responsibility is key.
Without a clear, documented agreement on AI use, you risk a partner unintentionally exposing your shared research data. This could violate legal agreements, funding requirements, and university policies. Establishing clear security protocols upfront is essential to a safe and successful partnership.
Next
AI is simply predicting the next line of code.
AI-powered coding assistants can dramatically accelerate research by generating boilerplate code, debugging, and translating between programming languages. This can save time and allow researchers to focus on novel aspects of their work. The peril is that AI models are not inherently security-aware. They may suggest code snippets that are efficient but contain known security flaws, such as vulnerabilities to SQL injection or insecure data handling. Unvetted AI-generated code can introduce significant security risks into a project.
Read more
Next
Unapproved technology in the university's environment is risky.
AI can automate tedious administrative tasks, such as scheduling, data entry, and report generation, freeing up staff to focus on higher-value work. However, without consulting the appropriate university resources, a staff member could inadvertently introduce an unvetted tool into the university's network, creating a shadow IT vulnerability, violating data policies, or exposing institutional data.
Approved tools
Next
AI might not be 100% accurate, leaving some sensitive information unredacted.
AI can be effecitive in redacting sensitive information from large volumes of documents, ensuring compliance with privacy regulations like FERPA and HIPAA. However, a single failure could lead to a significant privacy breach. While AI can assist in this process, it must be paired with human review to ensure completeness and accuracy.
Next
Sometimes the most significant threats come from inside the building.
AI can be a powerful tool for innovation, and the university encourages its exploration by faculty and staff. The most common security incidents stem from unintentional actions by internal users. Forgetting to sanitize data, using unapproved tools, or failing to understand the security implications of a new AI service can create vulnerabilities that are then exploited by external attackers. Raising awareness among the entire university community is therefore a top priority.
Next
Knowledge is the first step toward responsible AI.
Click the Register Button to be entered into a drawing to win one of 250 $40 gift cards. Your estimated chance of winning one of the gift cards is dependent upon the number of individuals who participate.
Register