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3 books on AI for Recruiting [PDF]
Updated: February 02, 2024 | 18 |
Books on AI for Recruiting serve as invaluable resources for startups venturing into the development of AI solutions for the recruitment industry. These resources offer comprehensive insights into how artificial intelligence can enhance various aspects of talent acquisition, including candidate sourcing, resume screening, and interview scheduling. They delve into predictive analytics, natural language processing, and machine learning techniques, shedding light on how these technologies can streamline the hiring process, improve candidate quality, and optimize workforce management. Furthermore, these books often provide practical case studies and best practices, enabling startups to learn from successful implementations and adapt AI solutions to their own recruiting platforms.
1. Artificial Intelligence in Recruiting. A Literature Review on Artificial Intelligence Technologies, Ethical Implications and the Resulting Chances and Risks
2021 by Matthias Rudolph
This book endeavors to bridge the existing research gap by unveiling the impact of AI technologies on the recruitment process and scrutinizing how the ethical dilemmas stemming from the integration of AI-based tools are tackled within the relevant literature. It frames two fundamental research questions: Firstly, it delves into the AI technologies employed in recruiting and their transformative influence on the recruitment process. Secondly, it explores the primary ethical challenges arising from the integration of AI in recruitment and evaluates how these challenges are addressed by proposed AI-based tools. The book's structure comprises chapters that establish the context of recruiting within Human Resources, elucidate key AI and machine learning algorithms pertinent to AI-driven recruiting tools, and scrutinize ethical concerns, with a particular focus on fairness and transparency principles. It then outlines the methodological approach for identifying and selecting relevant literature. The subsequent chapters provide comprehensive answers to the research questions by assessing AI-based recruiting tools in terms of addressing traditional recruiting needs and incorporating fairness and transparency considerations. Finally, the book discusses the key findings, offers implications for both theory and practice, and concludes by highlighting limitations and suggesting potential avenues for future research.
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2. Handbook of Research on Innovative Management Using AI in Industry 5.0
2021 by Garg, Vikas, Goel, Richa
The pervasive influence of artificial intelligence is undeniable, infiltrating virtually every industry, with its reach extending well beyond current boundaries, including into the realms of law, policy, and beyond conventional expectations. Major technology players like Google, Apple, and Facebook are heavily investing in AI integration, emphasizing the need for comprehensive comprehension of AI's multifaceted applications and immense potential. The Handbook of Research on Innovative Management Using AI in Industry 5.0 delves into the novel and advanced facets of artificial intelligence, elucidating its capacity to enhance economic efficiency on both micro and macro scales. This comprehensive resource explores various AI aspects that impact efficacy and output, covering areas such as consumer behavior, information technology, and personalized banking. It serves as an invaluable reference for researchers, educators, policymakers, industry professionals, businesses, and students alike.
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3. AI in Talent Development: Capitalize on the AI Revolution to Transform the Way You Work, Learn, and Live
2020 by Margie Meacham
In her book, "AI in Talent Development," Margie Meacham explores the advantages, applications, and potential pitfalls associated with AI technology while providing practical resources to bolster and enrich learning and performance initiatives. Meacham simplifies the concept by illustrating how we can delegate tasks to a helpful robot "assistant," design task-specific chatbots (like a new manager bot, sales coach bot, or new employee onboarding bot), and construct customized coaching tools using AI-processed extensive datasets. Each of the six chapters concludes with valuable insights and includes a resource guide featuring planning aids, templates, and worksheets. Meacham demystifies the enigma surrounding AI's "black box" - its reputation for being inscrutable and opaque - and highlights how AI can enhance our innate strengths in creativity and critical thinking.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Artificial Intelligence in Recruiting. A Literature Review on Artificial Intelligence Technologies, Ethical Implications and the Resulting Chances and Risks
2021 by Matthias Rudolph
This book endeavors to bridge the existing research gap by unveiling the impact of AI technologies on the recruitment process and scrutinizing how the ethical dilemmas stemming from the integration of AI-based tools are tackled within the relevant literature. It frames two fundamental research questions: Firstly, it delves into the AI technologies employed in recruiting and their transformative influence on the recruitment process. Secondly, it explores the primary ethical challenges arising from the integration of AI in recruitment and evaluates how these challenges are addressed by proposed AI-based tools. The book's structure comprises chapters that establish the context of recruiting within Human Resources, elucidate key AI and machine learning algorithms pertinent to AI-driven recruiting tools, and scrutinize ethical concerns, with a particular focus on fairness and transparency principles. It then outlines the methodological approach for identifying and selecting relevant literature. The subsequent chapters provide comprehensive answers to the research questions by assessing AI-based recruiting tools in terms of addressing traditional recruiting needs and incorporating fairness and transparency considerations. Finally, the book discusses the key findings, offers implications for both theory and practice, and concludes by highlighting limitations and suggesting potential avenues for future research.
Download PDF
2. Handbook of Research on Innovative Management Using AI in Industry 5.0
2021 by Garg, Vikas, Goel, Richa
The pervasive influence of artificial intelligence is undeniable, infiltrating virtually every industry, with its reach extending well beyond current boundaries, including into the realms of law, policy, and beyond conventional expectations. Major technology players like Google, Apple, and Facebook are heavily investing in AI integration, emphasizing the need for comprehensive comprehension of AI's multifaceted applications and immense potential. The Handbook of Research on Innovative Management Using AI in Industry 5.0 delves into the novel and advanced facets of artificial intelligence, elucidating its capacity to enhance economic efficiency on both micro and macro scales. This comprehensive resource explores various AI aspects that impact efficacy and output, covering areas such as consumer behavior, information technology, and personalized banking. It serves as an invaluable reference for researchers, educators, policymakers, industry professionals, businesses, and students alike.
Download PDF
3. AI in Talent Development: Capitalize on the AI Revolution to Transform the Way You Work, Learn, and Live
2020 by Margie Meacham
In her book, "AI in Talent Development," Margie Meacham explores the advantages, applications, and potential pitfalls associated with AI technology while providing practical resources to bolster and enrich learning and performance initiatives. Meacham simplifies the concept by illustrating how we can delegate tasks to a helpful robot "assistant," design task-specific chatbots (like a new manager bot, sales coach bot, or new employee onboarding bot), and construct customized coaching tools using AI-processed extensive datasets. Each of the six chapters concludes with valuable insights and includes a resource guide featuring planning aids, templates, and worksheets. Meacham demystifies the enigma surrounding AI's "black box" - its reputation for being inscrutable and opaque - and highlights how AI can enhance our innate strengths in creativity and critical thinking.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
