Learn how to avoid bias in AI algorithms in CRM with this guide. Find out what causes bias, how it affects CRM systems, and how to prevent ethical challenges.
Table of Contents
Question
What can bias in AI algorithms in CRM lead to?
A. Personalization and target marketing changes
B. Advertising cost increases
C. Ethical challenges in CRM systems
Answer
C. Ethical challenges in CRM systems
Explanation
The correct answer is C. Ethical challenges in CRM systems. Bias in AI algorithms in CRM can lead to ethical challenges in CRM systems, such as unfair or discriminatory treatment of customers, violation of customer privacy, or erosion of customer trust. Bias in AI algorithms can result from various factors, such as biased data, biased models, or biased outcomes. Bias can affect the quality and accuracy of the AI predictions and recommendations, and ultimately impact the customer experience and satisfaction. Therefore, it is important to identify and mitigate bias in AI algorithms in CRM and ensure that they are aligned with ethical principles and values.
Bias in AI algorithms in CRM can lead to ethical challenges in CRM systems. Bias means that AI algorithms favor or discriminate certain groups or outcomes based on irrelevant or unfair criteria. Bias can affect the fairness and ethics of CRM systems, as they may affect how customers are perceived, treated, or represented by AI algorithms. For example, bias can lead to ethical challenges in CRM systems if AI algorithms make inaccurate or harmful predictions or recommendations based on customers’ identity or characteristics.
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