What Is Augmented Intelligence?

Augmented intelligence uses a combination of human and artificial intelligence to enhance decision-making. Learn more here.

By Linda Pophal

2M Read

How can augmented intelligence be used in HR?

Augmented intelligence represents a number of opportunities to streamline and improve various HR processes. For example:

Talent acquisition. Augmented intelligence can automate resume screening, candidate shortlisting, and even conducting initial interviews. AI algorithms can be used to analyze large volumes of resumes, identify relevant skills and experience, and rank candidates based on predetermined criteria.
Employee onboarding. Augmented intelligence can help HR teams streamline the onboarding process by automating administrative tasks, providing personalized onboarding plans, and offering interactive chatbots to answer common employee questions.
Performance management. AI-powered tools can provide real-time feedback to employees, track their performance metrics, and offer data-driven insights for performance evaluations. This can help HR professionals and managers make more informed decisions about promotions, bonuses, and development opportunities.
Employee engagement and satisfaction. Augmented intelligence can be used to analyze employee feedback through sentiment analysis and surveys. This data can then be used to identify trends, areas of opportunity for improvement, and to develop strategies to enhance employee engagement and satisfaction.

What are the benefits and potential drawbacks of using automated intelligence?

Augmented intelligence can lead to efficiency and improved decision-making.

In relation to talent acquisition it can be used to expedite the hiring process and improve the candidate experience. Augmented intelligence can also be used to reduce bias by relying on data-driven algorithms that reduce human biases and promote fairness in HR processes.

There are, however, some potential drawbacks. These include ethical concerns related to the inadvertent perpetuation of biases based on historical data, privacy and security risks, overreliance on technology, and the lack of human judgment in making decisions.

By clearly understanding the limitations of augmented intelligence, being transparent about its use, and maintaining human oversight and involvement, organizations can reap the benefits from its use while avoiding or minimizing potential downfalls.