Achieving Organizational Diversity, Equity, and Inclusion with AI

Achieving Organizational Diversity, Equity, and Inclusion with AI

Sandeep Kautish (Physics Wallah Limited, India), Ankur Gupta (Model Institute of Engineering and Technology, India), Sahil Sawhney (Model Institute of Engineering and Technology, India), and Ashok Kumar (Model Institute of Engineering and Technology, India)
Pages: 320
DOI: 10.4018/979-8-3693-3960-2
ISBN13: 9798369339602|ISBN13 Softcover: 9798369350867|EISBN13: 9798369339619
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Description & Coverage
Description:

While artificial intelligence has become a useful tool for businesses and organizations to achieve significant growth and improvement, it can also be useful in reducing unconscious bias in organizations. As artificial intelligence gains the ability to mitigate bias within hiring practices and employee relationships, intelligent technologies enable more diverse, equitable, and inclusive practices. Today, business owners aim to create an equitable workplace while improving organizational processes through effective technology.

Achieving Organizational Diversity, Equity, and Inclusion with AI explores the significance of artificial intelligence and data science tools through diversity and inclusivity efforts. It provides insights into the role AI can play in bias mitigation, inclusivity practices, and business value creation. This book covers topics such as worker retention, workplace culture, and business sociology, and is a useful resource for business owners, industry professionals, counselors, hiring managers, academicians, and researchers.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Business Benefits
  • Business Sociology
  • Contemporary Job Markets
  • Culture and Population
  • Data Analytics
  • Diversity and Equity
  • Inclusive Practices
  • Mental Health
  • Organizational Culture
  • Organizational Development
  • Skills-Based Hiring
  • Worker Retention
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Editor/Author Biographies
Sandeep Kautish is an academician by choice and comes along with 18+ Years of work experience in academics including about 09 years in academic administration in various institutions in India and abroad. He earned his bachelor's, master's, and doctorate degrees in Computer Science on Intelligent Systems in Social Networks. He holds a Diploma in Management also. His areas of research interest are Decision Support Systems, Business Analytics, Machine Learning, Data Mining, and Information Systems. He has 46 publications in his Scopus account and his research works have been published in reputed journals i.e. Springer, Elsevier, Taylor & Francis, Hindawi, and IGI Global with high impact factor and SCI/SCIE/Scopus/WoS index. His research papers can be found at IEEE Transaction on Industrial Informatics (Impact Factor: 10.215), IEEE Access (SCI, Impact Factor: 3.715), Computer Standard & Interface (SCI, Elsevier, Impact Factor: 3.721), Journal of Ambient Intelligence and Humanized Computing (SCIE, Springer, Impact Factor: 3.662)), Wireless Personal Communications (SCIE, Springer, Impact Factor: 2.017), Multimedia Tools and Applications (Springer, SCIE, Impact Factor: 2.577).
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