From the course: Using Generative AI for Performance Management

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Ethical considerations of using generative AI

Ethical considerations of using generative AI

From the course: Using Generative AI for Performance Management

Ethical considerations of using generative AI

- While GenAI offers exciting opportunities by making performance management data-driven and personalized, we need to be mindful of potential ethical issues such as dealing with potential biases, fairness in the process, and privacy issues. Therefore, I suggest maintaining human oversight to ensure ethical decision making and accountability. Using AI to review performance involves collecting and analyzing large amounts of employee data, raising concerns about privacy. This means you need to work with your IT team to implement robust data protection measures and comply with relevant data privacy regulations. You should communicate clearly with employees, share how their data will be used, and emphasize the security measures in place to protect sensitive information. Using GenAI could unintentionally make existing inequalities in the organization worse. You need to keep a close eye on equity issues by checking for any disparities in the AI driven performance decisions. Make sure that…

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