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Modern Hire Launches Book on the Power of Using AI to Solve Today’s Most Pressing Hiring and Retention Challenges

Modern Hire, the leading enterprise hiring platform for video interviewing and pre-hire assessments, announced the launch of a book Decoding Talent: How AI and Big Data Can Solve Your Company’s People Puzzle. Co-authored by Modern Hire’s Eric Sydell, EVP innovation and Mike Hudy, chief science officer – both I/O psychologists – in collaboration with best-selling author Michael Ashley, the book offers HR practitioners research-based knowledge and strategies for leveraging data and AI to build diverse and successful workforces, while addressing the responsibilities of using AI.

“More organizations are turning to advanced artificial intelligence and machine learning technologies to overcome the talent acquisition pressures and complexities of today and to do so fairly,” said Sydell. “AI is gaining traction among hiring teams, but it continues to be greatly scrutinized and increasingly regulated through legislation to ensure it’s used ethically. For the power of this technology to be fully realized, AI must be carefully harnessed and intentionally applied.”

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Hudy added, “Our intention with this book is to challenge HR teams to rethink their current processes. We want them to understand how to start to apply more ethical, productive approaches to hiring with AI and deep learning tools based on scientific methods. Hiring teams don’t need to become AI experts or creators, they have to empower themselves with understanding how this technology complements what they do, and how it can help them create the ideal talent acquisition model of the future.”

A must-read for businesses facing today’s talent shortages and retention issues, Decoding Talent explains how modern HR organizations can leverage data, analytics, and emerging AI tools to achieve superior hiring outcomes and manage their workforces with greater insight than ever before. Not intended to replace the human decision-maker, AI and machine learning are designed to complement decision-making skills by consolidating and analyzing data to recommend actions.

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“This is a rare and valuable book that clearly explains the benefits, limitations, and social responsibility associated with using complex machine-learning algorithms to build workforces,” said Steven Hunt, PhD, Society for Industrial and Organizational Psychology (SIOP) Fellow. “Using illustrative examples that reflect the authors’ decades of real-world business experience, the book explains these tools in an accessible manner without oversimplifying how they work, underselling their value, or overpromising their potential. It should be basic reading for anyone exploring the use of machine learning as a way to improve hiring effectiveness.”

In the book Sydell, Hudy, and Ashley explain why the traditional resume-based process is out of date, why hiring is difficult, the cost of bad people decisions, how bias interferes in hiring practices, and how AI can address these problems. They introduce a six-step process to guide organizations in how to harness the power of AI and big data to build a more diverse, engaged, and productive workforce.

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