Generative AI Certificate Q&A: As a software developer, your AI ethical responsibility is to make sure that the AI nurse

Table of Contents

Question
Answer
Explanation
Reference

Question

You are a software developer on a team that’s developing a generative AI nurse for a healthcare company. You’ve trained the system on all your internal data, but to make it more “worldly” you’ve also trained it with social media data. During your testing, you found that sometimes the nurse will make recommendations that aren’t based on science. As a software developer, your AI ethical responsibility is to make sure that the AI nurse _____.

A. is well-versed in alternative forms of treatment
B. is always focused on generating data, increasing profits and reliable customer service
C. is always using the latest information
D. is developed in a way that’s transparent, explainable, and accountable

Answer

D. is developed in a way that’s transparent, explainable, and accountable

Explanation

The correct answer to the question is D. is developed in a way that’s transparent, explainable, and accountable. Here’s a detailed explanation to elaborate on this answer:

As a software developer working on the development of a generative AI nurse for a healthcare company, your AI ethical responsibility is to ensure that the AI nurse is developed in a way that is transparent, explainable, and accountable. Here’s why this is the correct answer:

D. is developed in a way that’s transparent, explainable, and accountable: Transparency, explainability, and accountability are key ethical considerations when developing AI systems, particularly in domains such as healthcare. Here’s what each of these aspects entails:

Transparency: Transparency refers to making the AI nurse’s behavior, decision-making process, and underlying algorithms understandable to stakeholders, including healthcare professionals, patients, and regulatory bodies. By ensuring transparency, you enable a clear understanding of how the AI nurse operates and what factors influence its recommendations.
Explainability: Explainability refers to the ability to provide human-understandable explanations for the AI nurse’s decisions and recommendations. It involves being able to answer questions such as “Why did the AI nurse make this recommendation?” or “How did it arrive at this conclusion?” Explainability is crucial in healthcare, where decisions can have significant implications for patient well-being and safety.
Accountability: Accountability involves taking responsibility for the actions and outcomes of the AI nurse. It includes mechanisms to track and evaluate the performance of the system, identify any biases or limitations, and address potential issues or errors. Accountability ensures that the AI nurse’s behavior aligns with ethical and legal standards, and that any unintended consequences or errors are addressed promptly.

Given that the AI nurse occasionally makes recommendations that are not based on science, it is essential to emphasize transparency, explainability, and accountability during the development process. This helps identify the reasons behind such recommendations, uncover any potential biases or shortcomings in the training data or algorithms, and address them appropriately.

Options A, B, and C are incorrect because they do not fully address the AI ethical responsibility mentioned in the question:

A. is well-versed in alternative forms of treatment: While being well-versed in alternative forms of treatment may be beneficial for an AI nurse, it does not encompass the broader ethical responsibility mentioned in the question. Transparency, explainability, and accountability are fundamental principles that ensure the AI nurse’s behavior aligns with ethical standards and that its recommendations are based on reliable and scientifically supported information.
B. is always focused on generating data, increasing profits, and reliable customer service: Focusing solely on generating data, increasing profits, and reliable customer service does not address the ethical responsibility of transparency, explainability, and accountability. While these aspects are important considerations for a healthcare company, the focus should be on providing safe, evidence-based recommendations and ensuring the AI nurse’s behavior is ethically sound.
C. is always using the latest information: While using the latest information is valuable, it does not encompass the broader ethical responsibility of transparency, explainability, and accountability. The focus on transparency and explainability ensures that the information used by the AI nurse is reliable, up-to-date, and based on scientifically validated sources.

In summary, as a software developer working on a generative AI nurse for a healthcare company, your AI ethical responsibility is to ensure that the AI nurse is developed in a way that is transparent, explainable, and accountable. These principles foster trust, help address any biases or errors, and ensure the nurse’s behavior aligns with ethical and scientific standards.

Reference

Generative AI Exam Question and Answer

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