Exploring New Frontiers in Talent Assessment

As technologies continue to evolve, the importance of artificial intelligence has continued to increase. Aon understands this evolution and is continuing to explore new frontiers in talent assessment by leveraging AI capabilities. The article below outlines Aon's exploration of AI in talent assessments. 

Dr. Achim Preuss, Director of Portfolio Development, Aon Assessment Solutions


Artificial intelligence in talent assessment is no longer science fiction. 

Employers are using AI to accelerate the recruitment process and free up hiring managers' time for more complex tasks. AI also allows for improved measurement in talent assessment based on the data collected. 

Read more to understand how organizations can leverage AI-enabled talent assessment as a competitive workforce advantage, supporting more effective classification, prediction and decision-making efforts. 

Classification

As an employer, you have an abundance of data about your employees and prospective hires. AI excels at classifying those data and identifying specific behavior patterns. Humans can do the work of classification, but they are often slower and less reliable than AI. 

For example, talent-assessment professionals typically sort through videos to filter out candidates who were not the right fit. AI can speed up that process by classifying videos in a fraction of the time, allowing interviewers to focus on top candidates. 

Natural-language processing is the ultimate classification system. A video assessment's audio information can be analyzed by using real-time speech recognition and clarity of speech. 

Prediction

AI uses different statistical models - sometimes thousands of them at once - to come up with better forecasts. The system thrives on continual changes in information, especially behavioral data. AI can predict likely hiring outcomes based on available data, tell you how accurate those predictions are and update its forecasting to enhance future efforts. 

As it makes each assessment, AI learns to evaluate based on intelligently designed psychometric models linked to solid job analysis. Rather than focusing on specific behaviors and skills when they rate candidate response, like humans do, AI can focus on competencies and identifiable behavioral anchors. 

AI can understand and mimic a human's ratings, and then rate candidates in exactly the same way. This allows for a precise, efficient and bias-free assessment process that is defensible and can be easily explained. AI's ability to accurately and efficiently analyze unstructured data is at the heart of the future of talent assessment. For example, AI's capacity to quickly evaluate candidates' video-interview responses is key to improving candidate experience while improving the precision of measurement. 

Best Next Move

Similar to the way AI makes predictions, this technology can help with decision-making. For instance, one AI model considers what is the "best next move" in any given domain, while another figures out how it will affect the rest of the system if that move is accomplished. These techniques can help organizations make better talent decisions than their competitors. 

More familiarity with AI, what it is and how it's being used within your organization and by your job candidates can lead to broader acceptance. In addition, providing a more human touch throughout the process can help ease any concerns about AI in the selection process. 

Conclusion

AI is rapidly evolving. Mobile-first solutions are on the cusp of cutting the costs of interviewing and recruiting and helping companies make better-informed decisions. According to an Aon survey, 46 percent of respondents agree this is one of the biggest potential benefits of the technology. 

Gamified training and assessment will work harder to engage employees throughout their careers. Adaptive testing will more quickly and easily find workers who fit with an organization's culture. Because of the implementation of AI, talent-assessment executives will have more time to focus on higher-level, long-term talent strategy for an organization. As a result, organizations can leverage AI-enabled talent assessment as a competitive workforce advantage. 

Augmented decision-making is the future of talent assessment. Today's AI technology can rapidly reduce the time required and boost the effectiveness of recruiting and talent assessment. AI and machine learning are key for processing unstructured data and eliminating unconscious bias in a company's talent-assessment strategy. Coupled with best-in-class AI tools and the right advisers, executives can improve the precision and efficiency of talent assessment and recruitment, which ultimately will lead to a better workforce. 

To learn more about AI in Aon's talent-assessment solutions, visit assessment.aon.com

About the Author

Achim Preuss

Dr Achim Preuss is a renowned pioneer in the assessment industry and a visionary practitioner. As Head of Global Solutions at Aon's Assessment Solutions, he is responsible for the company’s global product development and its best practice innovations. Achim co-founded cut-e Group, a global talent management and assessment specialist, in 2002 and was its Chief Technology Officer when the company was acquired by Aon plc in 2017. cut-e and Aon, as Aon's Assessment Solutions, undertake 30 million assessments each year in 90 countries and 40 languages.

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