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Automated Employment Decisioning Tool (AEDT)

What Is An Automated Employment Decisioning Tool (AEDT)? The Simple Definition

A program that uses machine learning, statistical inference, artificial intelligence, or data analytics to replace or assist decision-making.

The Technical Definition

An Automated Employment Decisioning Tool (AEDT) refers to a software or system that uses algorithms, machine learning, artificial intelligence, or other computational methods to assist in or make decisions related to employment processes.

These decisions can include hiring, firing, promotions, or job assignments. The tool may analyze resumes, evaluate candidates’ responses in interviews, or assess employee performance. It aims to streamline the decision-making process, increase efficiency, and potentially reduce human bias.

However, it is crucial to regularly audit and evaluate these tools to ensure they do not perpetuate bias or discrimination.

Explain It Like I’m Five

Imagine you have a super smart toy robot that can help you choose which games to play with your friends. You tell the robot about the games and about your friends, and then it thinks really hard and tells you which game would be the best for everyone to have fun.

An Automated Employment Decisioning Tool (AEDT) is like that toy robot, but for grown-up jobs. When people want a new job, they tell the company about themselves, and this smart tool helps the company decide who would be the best person for the job. It looks at all the information and tries to make a fair choice so that everyone gets a chance to work and do what they are good at.

Use It At The Water Cooler

How to use “automated employment decisioning tool” in a sentence at work:

“Our HR department recently implemented an automated employment decisioning tool (AEDT) to streamline the hiring process, ensuring that we evaluate all candidates fairly and efficiently based on their skills and experience.”

Related Terms

Machine Learning

Additional Resources

New York DFS AI Regulation, What Insurers Need To Know

New York DFS AI Regulation, What Insurers Need To Know

A must-read for insurance professionals. Instead of combing through pages and pages of legislation, this overview highlights everything you need to know. Understand fairness principles, and what is required for regulatory compliance for insurers licensed in New York. Stay informed about the best practices in AI governance to prevent discrimination and ensure transparency in insurance processes.

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