Emerald book title: Human-AI Collaboration Transforming Workforces with Gen AI .
EDITOR(S)
1. Dr Alka Agnihotri
Associate Professor, School of Business, Galgotias University, Galgotias University (U.P.), India.
2. Dr. Balamurugan Balusamy
Dean Academics, Shiv Nadar University, Delhi-NCR Campus, India
3. Dr. Chithirai Pon Selvan
Professor, School of Science and Engineering, Curtin University Dubai, United Arab Emirates.
4. Dr. Feslin Anish Mon,
Faculty, Department of Information Technology,
University of Technology and Applied Sciences,
Ibri, Sultanate of Oman.

Quality book chapters are invited . Please submit at mangbooksubmit.2@gmail.com

ABOUT the BOOK
Title/Subtitle: Human-AI Collaboration Transforming Workforces with Gen AI
Brief summary: " Human-AI Collaboration Transforming Workforces with Gen AI " The buzzword in present times is collaboration in working. When the human and AI collaboration results into enhanced and better performance. Instead of fearing the loss of jobs due to Industry 4.0 and Industry 5.0 easing and speeding work efficiently now the professional world is glancing at these developments with newer hope and confidence that such a collaboration between the AI and Human is not antagonistic to each other . Instead, it shall symphony the synergy and orchestrate the AI and Human efforts resulting in transforming workforces. The collaborative intelligence due to joint forces of human and AI strengthen the systems, input , throughput and output . This calls for transforming the workforces which may employ various strategies at the organizational levels. Ranging from training the employees in using AI , redesigning the processes, Automating for productivity gains etc. The employees get more time for leadership, thinking creatively and implementing innovation.

Full book description: Human-AI Collaboration Transforming Workforces with Gen AI’ focuses on integrating AI and Humans opens the possibility of better decision making and resolution of several complex problems . It has the potential to get better the outcomes. This collaboration brings together the best of both the worlds, the human creativity, innovation and conceptual powers and AI’s computational powers. AI is best in Big Data processing and analytics which needs to be synchronised with ethical decision and judgements. This collaboration is complementary to both.It opens the new fields of user centric production , manufacturing, marketing and management . This requires upgrading organisations and systems on one hand and upskilling the workforces on the other hand along with insights into the challenges, ethical considerations, and future trends associated with this innovative approach. By providing real-world examples, case studies, and actionable strategies, the book aims to equip HR professionals, business leaders, and technology enthusiasts with the knowledge and tools needed to leverage AI and human collaborations for workforce transformation and organizational success in the digital age.

Subject / Topic Description: “Human-AI Collaboration Transforming Workforces with Gen AI” explores the integration of human and AI collaboration in transforming the workforces. Leveraging AI and human competency, the collaboration fosters data analytics , employee engagement and cross functional collaborations, system agility and change management . But caution need to be taken with regard to ethical considerations regarding data privacy and transparency. Human-AI Collaboration promises to enhance employee’s efficiency, agility, and competitiveness in the digital era. Their interactions, revolutionize HR practices by enabling real-time monitoring, analysis, and simulation. This collaboration optimizes talent acquisition, enhances employee engagement, and predicts future workforce trends

Discipline, sub-discipline, and keywords:
Keywords: Human-AI, Collaboration, Workforces, human resources, Big Data, upskilling, reskilling, technology, virtual replicas, revolution, real-time monitoring, simulation, talent acquisition, employee engagement, predictive analytics, machine learning, personalized experiences, skill development, continuous improvement, data privacy, transparency, organizational efficiency, IoT, Artificial Intelligence, Gen AI.
Competitiveness Please, categorize your work based on the most relevant discipline. Human-AI Collaboration Transforming Workforces
Please also list 5 Keywords that best describe your book.
Human-AI , Collaboration, Transforming , Workforces, organizational efficiency,

Human-AI Collaboration (HAC) Transforming Workforces with Gen AI: The AI and human collaboration for transforming workforce revolution offers numerous benefits by establishing the foundation for effective decision-making and strategy formulation. It enables seamless collection, integration, and transformation of diverse datasets from multiple sources, ensuring data accuracy and consistency. This empowers businesses to create personalized and targeted workforce transformations, optimize human -AI resource allocation, and adapt strategies in real-time, leading to efficient talent access, talent acquisition, upskilling, employee development and engagement, organizational agility, innovation and creativity and gives a competitive edge in functions.

Table of Content

1. Understanding and Analyzing the Role of Human-AI Collaboration in Workforce (HAC) Transformation with Gen AI
2. Integration of Artificial Intelligence (AI) into the workplace: Opportunities and Challenges ahead
3. Crafting New Job Roles in the Age of AI - Human Collaboration and Talent Access
4. Empowering the Workforce through Strategic Training and Development Human-AI Collaboration
5. Harnessing Skills Frameworks for Human-AI Workforce Collaboration with Gen AI
6. Transforming Talent Acquisition: How AI is Optimizing Workforces and Improving Flexibility
7. Human-AI collaboration in Organizations: A Literature Review on Enabling Value Creation
8. AI-Driven Talent Management: A New Paradigm Empowering Talent Management and Workforce Productivity
9. Strategies, Approaches and Models for Transforming Workforces through Human and AI Collaborations and models for Reaping Benefits due to Human and AI Collaboration
10. Developing Employees for building Collaborative Intelligence for he human-machine interface
11. Ethical Considerations in Transforming Workforces through Human and AI Collaborations and the Need for Conscientious AI Implementation
12. Future Trends in Human-AI Collaborations: The Road Ahead

Chapter 1
Understanding and Analyzing the Role of Human-AI Collaboration(HAC) in Workforce Transformation with Gen AI
This chapter focuses understanding and analytical study of the role of human -AI collaborations in workforce transformation . Use of AI marks a pivotal shift in organizational management. This fusion promises to redefine workforce transformation which in turn help in fostering agility and innovation in organizations.
Sub-topics:
1.1 Introduction to Human-AI Collaboration in Workforce Transformation with Gen AI
: Concepts and Applications
1.2 The Role of Human-AI Collaboration in Workforce Transformation with Gen AI
1.3 Understanding the Convergence: AI , Gen AI and Humans’ Potentialities
1.4 Human-AI Collaboration: Revolutionizing Talent Acquisition
1.5 Transforming Employee Training and Development through Human-AI Collaboration
1.6 Optimizing Performance Management with Human-AI Collaboration
1.7 Strategic Workforce Planning in the Human-AI Collaboration
1.8 Addressing Ethical and Legal Implications
1.9 Future Directions: Trends and Challenges in Human-AI Collaboration

Chapter 2
Integration of Artificial Intelligence (AI) into the workplace: Opportunities and Challenges Ahead

As the research on coexistence of AI and workforce garners momentum it’s how when where themes emerge, this chapter focuses on clarifying the issues in these related areas. The benefits, challenges, distrust and discord, abilities -disabilities and upskill- reskilling etc.

Sub-topics:
2.1 Traditional AI and workforce and Gen AI Concepts and Practices
2.2 Advent of AI for workforce Management
2.3 Opportunities due to Human-AI collaboration in Workforce Transformation
2.4 Integration of Artificial Intelligence (AI) into the workplace: Why and How
2.5 Challenges and Implications of Integration of Artificial Intelligence (AI) into the workplace
Chapter 3
Crafting New Job Roles in the Age of AI - Human Collaboration and Talent Access

Job crafting refers to the process of work design in which employees with their self-discipline pro action and desire initiate changes that bring their job better in sync with their personal abilities, needs, goals and skills. As a work design strategy, job crafting represents a departure redesign in several ways. Talent
Job crafting is an individually-driven work design process which refers to self-initiated,

Sub-topics:
3.1 Introduction to Job Crafting and Design with AI-Human collaboration for Talent Access
3.2 Key Components of AI - Human Collaboration and Job Crafting
3.3 Job Crafting and AI-Human collaboration: Approaches and Strategies
3.4 Data Integration and Analytics in Job crafting with AI-Human collaboration Technology
3.5 Visualization and Simulation Tools for Job Crafting AI-Human collaboration
3.6 Role of IoT in Job Crafting and AI - Human Collaboration
3.7 Benefits and Applications of Crafting New Job Roles in the Age of AI - Human Collaboration

Chapter 4
Empowering the Workforce through Strategic Training and Development through Human-AI Collaboration

Strategic training and development (STD) is different from the traditional training methods as it is a process of designing specific employee training programs which are developed keeping the business needs in mind. With this strategic focus it aims to build the capabilities and tools that employees need to efficiently and successfully carry out their jobs. STD also gives competitive advantage to the organisations.
Sub-topics:
4.1 Introduction to Strategic Training and Development
4.2 Data Collection and Processing for TNA for Strategic Training and Development
4.3 AI human Collaborations for Workforces Transformation: Designing Strategic Training and Development
4.4 Privacy Considerations for Employee Data and Ethical Use of Data in STD Decision Making
4.5Importance Advantages and Challenges in Implementing Strategic Training and Development
4.6 Recent trends and Future Direction in STD for AI – Human collaboration for Workforces Transformation with Gen AI
Chapter 5
Harnessing AI Powered Skills Frameworks for Human-AI Collaboration for Workforce Transformation with Gen AI
The AI Powered Skills Frameworks is a new proactive approach which is in fact a paradigm shift to skill development. The dynamic tools using the ML are able to analysis of employee new human capital management system uses the data from various sources for informed decision making. Developing the skills framework using AI which can add layers of intelligence to record systems has actually revolutionized the talent management, intelligence gathering and intelligent decisions. The leveraging data may help in STD of the workforce

Sub-topics:
5.1 Understanding AI Powered Skills Frameworks in the Digital Age
5.2 Assessing Organizational Readiness for harnessing AI Powered Skills Frameworks: Adoption and Implementation
5.3 Setting and Defining the Goals and Objectives for AI Powered Skills Frameworks for Human-AI Collaboration for Workforce Transformation
5.4 Identifying Key Stakeholders and Resources for Workforce Transformation with Gen AI
5.6 Challenges of Integration of AI Powered Skills Frameworks with Existing Systems and Processes
5.7 Evaluation and Suggestions for Adjusting the AI Powered Skills Frameworks for Continuous Improvement (Kaizen)
5.5 Trends and Future Road Ahead for AI Powered Skills Frameworks

Chapter 6
Transforming Talent Acquisition : How AI-Human collaboration is Optimizing Workforces and Improving Flexibility

Enhancing employee onboarding through AI-Human collaboration involves creating virtual representations of new hires' experiences. By simulating their journey within the organization, AI provide personalized guidance, streamline training processes, and foster early engagement. This approach ensures smoother transitions and accelerates integration, ultimately improving retention and productivity.
Sub-topics:
7.1 AI-Human collaboration in the Onboarding Process: An Introduction
7.2 Personalized Onboarding Experiences with AI-Human collaboration
7.3 Simulating Work Environments and Tasks for New Hires using AI-Human collaboration
7.4 Real-Time Feedback and Support through AI-Human collaboration systems
7.5 Measuring Onboarding Success through AI-Human collaboration systems with Data Analytics
7.6 Continuous Improvement: Iterating Onboarding Processes with through AI-Human collaboration Insights
Chapter 7
Human-AI collaboration in Organizations: A Literature Review on Enabling Value Creation

The research on Value creation due to Human -AI collaboration is in the early evolutionary stage and lacks consensus (Duan et al., 2019; Mikalef et al., 2021). In depth search in secondary data may highlight the evolving themes and patterns. Human -AI collaboration can help value creation with regard to employee participation and engagement, development of technology and organization evolution, organization positioning and competitive advantage and setting a kaizen culture.
Sub-topics:
8.1 Introduction to Development of Technology and Organization Evolution in the Human-AI collaboration context
8.2 Role of Employee Participation and Engagement in Human-AI collaboration in Organizations
8.3 Impact of Human-AI collaboration in Organizations on Organization Positioning and Competitive Advantage
8.4 Enhancing Goal Setting and Alignment through of Human-AI Collaboration in Organizations
8.5 Data-Driven Insights for Interventions , Monitoring and Feedback for Human-AI Collaboration in Organizations
8.6 Challenges and Opportunities in Human-AI collaboration driven Organizations
Chapter 8
Human-AI collaboration in Talent Management: A New Paradigm Empowering Talent Management and Workforce Productivity
Human-AI collaboration has the potential to revolutionize talent management by more informed decision on the input, throughput and output dimensions of talent management . It not only simulating candidate profiles, evaluating fit, and predicting performance but also leverage data analytics and machine learning to streamline the talent management system resulting in empowered workforce with enhanced productivity.
Sub-topics:
6.1 Introduction to Human-AI collaboration in Talent Management
6.2 Accessing through Workforce Planning for HAC in Organizations
6.3 Human-AI collaboration in for Candidate Profiling and Matching
6.4 Role Human-AI collaboration in Enhancing Recruitment Processes
6.5 Personalizing Candidate Experiences through Human-AI collaboration (HAC)
6.6 Streamlining Interview and Assessment Processes through HAC
6.7 Employee Satisfaction and Wellbeing Concerns with HAC Implementation and Mitigating the Challenges .
6.6 Evaluation of KPIs for HAC in Talent Management and the Future Trends.

Chapter 9
Strategies, Approaches and Models for Human and AI Collaborations for Transforming Workforces through Gen AI

The researches on the approaches and models for Human and AI Collaborations for Transforming Workforces are evolving. They vary with each other due to the what aspect of Human and AI Collaborations are in focus. As AI powered tools and techniques are changing the workforces and work spaces, several approaches and models are coming up. The challenge is to bring together the different perspective from different fields in an holistic and integrated way and do cross disciplinary connection.

Sub-topics:
10.1 Introduction to Collective Human-Machine Intelligence (COHUMAIN) and Other Approaches to Human and AI Collaborations
10.2 Introduction to Transactive Systems Model of Collective Intelligence (TSM-CI)
10.3 Role of the Environmental Conditions AI -Human collaborations
10.4 Human and AI Collaborations for Transforming Workforces through Predictive Analytics
10.5 Continuous Improvement and Recent Trends in Model Building for Human and AI Collaborations for Transforming Workforces

Chapter 10
Ethical Considerations in Transforming Workforces through Human and AI Collaborations and the Need for Conscientious AI Implementation



The basic foundation of HAC is embedded in data analytics. Thus, data collection, cleaning and analysis require to be handled ethically without jeopardizing the privacy and transparency issues. This collaboration optimizes talent acquisition, enhances employee engagement, and predicts future workforce trends but the ethical campus has to be set for watchdog functions in this regard while utilizing the data for various applications.

Sub-topics:
12.1 Introduction to Ethical Standards and Regulations with regard to HAC
12.2 Data Usage with ensuring Transparency and Accountability
12.3 Addressing the Challenges of Bias and Ensuring Fairness in Algorithmic Decision-Making
12.4 Bridging the Gap between the Expected and the Actual Ethical Standards and Regulations Enforcement

Chapter 11
Case Studies: Real-world Examples of Human-AI collaborations in HR
Case studies give an empirical journey and help in understanding the real-world scenarios. Several cases from various aspects of HAC planning, implementation, evaluation, success, failure etc., put together for practical understanding and applications. These showcase real-world examples for demonstrating its transformative impact of HAC. These highlight the potential advantages, successes, challenges and solutions with regard to HAC Transforming Workforces with Gen AI and related aspects

Chapter 12
Future Trends in Human-AI collaborations (HAC): The Road Ahead
Future trends and opportunities in HAC foresee continued integration of HAC technology, supported by advancements in AI and data analytics. The road ahead shows a clear rise of adoption and implementation of better and efficient HAC tools and techniques sparing the workforces on one hand and developing more informed decision making, agile and empowered systems on the other hand .
Sub-topics:
14.1 Emerging Technologies Shaping the Future of HAC
14.2 Harnessing New HR Strategies developing HAC for Workforce Transformation with Gen AI
14.3 Data Analytics for HAC related Strategic Decision-Making
14.4 Preparing for the Future of HAC through Upskilling and workforce Competency Development