Question

A graduate student got on board in an AI startup. On his first day, during orientation, the student's manager explains to the recruit that in his work he requires taking precautions to prevent the re-identification of anonymized data or unauthorized data collection, ensuring the accuracy of data, understanding the provenance of the data, and protecting it from unauthorized access and accidental disclosure.

Group of answer choices



Code 1.6 Respect privacy.



Code 2.4 Accept and provide appropriate professional review.



Code 2.6 Perform work only in areas of competence.



Code 4.1 Uphold, promote, and respect the principles of the Code.

Please explain why you think one of the answers is right

Answer 1

The correct option is b.

Code 2.4, "Accept and provide appropriate professional review," is the most appropriate choice because it encompasses a broad range of professional responsibilities, including ethical data handling, accuracy, data source assessment, and potentially data protection, all of which are relevant to the graduate student's role in the AI startup.

The right answer in this scenario is code 2.4 Accept and provide appropriate professional review.

Here's a point-wise explanation of why this is the correct choice:

1. **Re-identification of anonymized data or unauthorized data collection:** This point relates to the responsible handling of data and ensuring that anonymized data cannot be re-identified. It also involves preventing unauthorized data collection. Code 2.4, "Accept and provide appropriate professional review," is relevant because it encourages professionals to review and assess their work for any potential ethical or professional issues, including data handling.

2. **Ensuring the accuracy of data:** Accuracy of data is crucial in AI and data-related work. While Code 2.4 doesn't explicitly mention data accuracy, it emphasizes the need for professional review. Part of this review process may involve checking the accuracy of the data used in AI models or applications.

3. **Understanding the provenance of the data:** Knowing the source and history of data is essential for transparency and ethical considerations. Code 2.4 encourages professionals to provide appropriate professional review, which includes assessing the source and provenance of data to ensure its reliability and ethical use.

4. **Protecting data from unauthorized access and accidental disclosure:** This is a critical aspect of data security and privacy. While Code 2.4 doesn't directly mention data protection, it emphasizes the need for professionals to accept and provide appropriate professional review. Part of this review process may involve assessing data security measures and ensuring that data is protected from unauthorized access and accidental disclosure.

The complete question is here:

A graduate student got on board in an AI startup. On his first day, during orientation, the student's manager explains to the recruit that in his work he requires taking precautions to prevent the re-identification of anonymized data or unauthorized data collection, ensuring the accuracy of data, understanding the provenance of the data, and protecting it from unauthorized access and accidental disclosure.

Group of answer choices

A. Code 1.6 Respect privacy.

B. Code 2.4 Accept and provide appropriate professional review.

C. Code 2.6 Perform work only in areas of competence.

D. Code 4.1 Uphold, promote, and respect the principles of the Code.

Please explain why you think one of the answers is right

Answer 2

Code 1.6 Respect privacy is the right answer because it directly deals with maintaining the confidentiality and privacy of data, which are the central concerns mentioned during the graduate student's AI startup orientation.

Therefore, the correct answer is: option 'Code 1.6 Respect privacy.

Step-by-step explanation:

In regard to the graduate student's orientation at an AI startup that emphasizes the importance of preventing re-identification of anonymized data, ensuring data accuracy, understanding data provenance, and protecting data from unauthorized access, the most fitting code is Code 1.6 Respect privacy.

This code is reflective of the ethical principles relevant to the student's work which includes ensuring the privacy and confidentiality of the data they will be handling in their new role.

It encompasses concerns about re-identification, unauthorized data collection, accuracy, and unauthorized access, all of which are essential to maintaining the privacy of the research subjects.

Data privacy is an essential concern in research, especially in fields involving human participants. Protecting privacy is fundamental to maintaining the dignity and rights of participants.

Additionally, as researchers or professionals in the technology field, it is critical to adhere to ethical standards, including those set forth by professional organizations and laws in the federal code about the use of research data.