Learn what ethical debt is and how to prevent it by considering the possible ethical and social implications of AI technologies before launching them with Salesforce.
Table of Contents
Question
What is an example of ethical debt?
A. Violating a data privacy law and falling to pay fines
B. Launching an AI feature after discovering a harmful bias
C. Delaying an AI product launch to retrain an AI data model
Answer
B. Launching an AI feature after discovering a harmful bias
Explanation
The correct answer is B. Launching an AI feature after discovering a harmful bias. Ethical debt is the implied cost of future ethical issues or societal harms that result from not considering the possible negative consequences of a technology during the design and development process. Launching an AI feature after discovering a harmful bias is an example of ethical debt, because it means that the developers did not address the ethical problem before releasing the technology, and thus incurred a future cost of fixing it or dealing with the negative impacts. Violating a data privacy law and failing to pay fines is not an example of ethical debt, but rather a legal violation and a financial liability. Delaying an AI product launch to retrain an AI data model is not an example of ethical debt, but rather a way of avoiding or reducing it by ensuring the quality and fairness of the AI system.
Launching an AI feature after discovering a harmful bias is an example of ethical debt. Ethical debt is a term that describes the potential harm or risk caused by unethical or irresponsible decisions or actions related to AI systems. Ethical debt can accumulate over time and have negative consequences for users, customers, partners, or society. For example, launching an AI feature after discovering a harmful bias can create ethical debt by exposing users to unfair or inaccurate results that may affect their trust, satisfaction, or well-being.
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