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Chapter 1 What Does Artificial Intelligence–Powered ChatGPT Bring to Academia? A Review

  • Karunarathnage Sajith Senaka Nuwansiri Karunarathna , Narayanage Jayantha Dewasiri , Mananage Shanika Hansini Rathnasiri and Rubee Singh
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Artificial Intelligence Enabled Management
This chapter is in the book Artificial Intelligence Enabled Management

Abstract

Purpose: This chapter aims to provide a comprehensive picture of the adoption of ChatGPT in academia, primarily focusing on the dark side of this emerging technology. This confession on ChatGPT relates to the four major stakeholders in academia: learners, teachers, researchers, and libraries. Methodology: A narrative review was conducted based on extant literature on ChatGPT to provide a comprehensive overview of the negativities carried by the tool to academia. Findings: Academia is one of the severely affected fields by ChatGPT. The paper reveals that all the critical stakeholders of academia, including students, teachers, researchers, and library staff, have been challenged by this emerging application. These roles are now topsy-turvy with the implementation of ChatGPT. Though there are various rumblings, the authors were able to unveil critical drawbacks of the technology in terms of high-tech plagiarism, tarnishing skills, hallucination, security and privacy issues, supplanting the jobs, promoting unfair teaching, the difficulty of using the tool, lack of accountability and lack of accuracy, and integrity of writing. Practical Implications: The adoption of ChatGPT is inevitable in academia. Therefore, by identifying the consequences of ChatGPT, the learners, teachers, researchers, and libraries can align their roles to mitigate the adverse impacts on academia. Although academia is in a hurry to adopt the changes the ChatGPT brings, our insights provide some avenues to re-think.

Abstract

Purpose: This chapter aims to provide a comprehensive picture of the adoption of ChatGPT in academia, primarily focusing on the dark side of this emerging technology. This confession on ChatGPT relates to the four major stakeholders in academia: learners, teachers, researchers, and libraries. Methodology: A narrative review was conducted based on extant literature on ChatGPT to provide a comprehensive overview of the negativities carried by the tool to academia. Findings: Academia is one of the severely affected fields by ChatGPT. The paper reveals that all the critical stakeholders of academia, including students, teachers, researchers, and library staff, have been challenged by this emerging application. These roles are now topsy-turvy with the implementation of ChatGPT. Though there are various rumblings, the authors were able to unveil critical drawbacks of the technology in terms of high-tech plagiarism, tarnishing skills, hallucination, security and privacy issues, supplanting the jobs, promoting unfair teaching, the difficulty of using the tool, lack of accountability and lack of accuracy, and integrity of writing. Practical Implications: The adoption of ChatGPT is inevitable in academia. Therefore, by identifying the consequences of ChatGPT, the learners, teachers, researchers, and libraries can align their roles to mitigate the adverse impacts on academia. Although academia is in a hurry to adopt the changes the ChatGPT brings, our insights provide some avenues to re-think.

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Acknowledgments VII
  4. Contents IX
  5. Part I: Introduction to Data Enabled Management
  6. Chapter 1 What Does Artificial Intelligence–Powered ChatGPT Bring to Academia? A Review 1
  7. Chapter 2 Education Policies Through Data Driven Decision Making: Accelerating Inclusive Education for People with Disabilities 15
  8. Chapter 3 The Role of Artificial Intelligence in the Emerging Digital Economy Era 33
  9. Chapter 4 A Review of Machine Learning Methods for Diagnosis and Classification of Thyroid Disease 51
  10. Chapter 5 A Question and Answering System Using Natural Language Processing and Deep Learning 65
  11. Part II: Role of AI and Big Data in Management Functions
  12. Chapter 6 The Reinvention of HRM Practices Through Artificial Intelligence: Opportunities and Challenges in the Digital World of Work 87
  13. Chapter 7 Challenges and Artificial Intelligence–Centered Defensive Strategies for Authentication in Online Banking 105
  14. Chapter 8 Catalyzing Human Potential: The Crucial Role of AI in Modern HR Management 119
  15. Chapter 9 Exploring How Artificial Intelligence is Changing the HRM Landscape: Refuting the Fiction with Reality! 131
  16. Chapter 10 Artificial Intelligence in HR: Employee Engagement Using Chatbots 147
  17. Part III: Application of AI in Different Sectors
  18. Chapter 11 An Empirical Analysis of Artificial Intelligence Applications of Manufacturing Companies in Turkey 165
  19. Chapter 12 A Comprehensive View of Artificial Intelligence (AI)–Based Technologies for Sustainable Development Goals (SDGs) 183
  20. Chapter 13 Leveraging Artificial Intelligence for Enhanced Risk Management in Banking: A Systematic Literature Review 197
  21. Chapter 14 Exploring the Influence of Artificial Intelligence on the Management of Hospitality and Tourism Sectors: A Bibliometric Overview 215
  22. Chapter 15 Artificial Intelligence in Healthcare Sector in India: Application, Challenges and a Way Forward 233
  23. Chapter 16 Application of Artificial Intelligence and Machine-Learning Algorithms for Forecasting Risk: The Case of the Indian Stock Market 249
  24. List of Figures 263
  25. List of Tables 265
  26. About the Editors 267
  27. Index 269
https://doi.org/10.1515/9783111172408-001

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Acknowledgments VII
  4. Contents IX
  5. Part I: Introduction to Data Enabled Management
  6. Chapter 1 What Does Artificial Intelligence–Powered ChatGPT Bring to Academia? A Review 1
  7. Chapter 2 Education Policies Through Data Driven Decision Making: Accelerating Inclusive Education for People with Disabilities 15
  8. Chapter 3 The Role of Artificial Intelligence in the Emerging Digital Economy Era 33
  9. Chapter 4 A Review of Machine Learning Methods for Diagnosis and Classification of Thyroid Disease 51
  10. Chapter 5 A Question and Answering System Using Natural Language Processing and Deep Learning 65
  11. Part II: Role of AI and Big Data in Management Functions
  12. Chapter 6 The Reinvention of HRM Practices Through Artificial Intelligence: Opportunities and Challenges in the Digital World of Work 87
  13. Chapter 7 Challenges and Artificial Intelligence–Centered Defensive Strategies for Authentication in Online Banking 105
  14. Chapter 8 Catalyzing Human Potential: The Crucial Role of AI in Modern HR Management 119
  15. Chapter 9 Exploring How Artificial Intelligence is Changing the HRM Landscape: Refuting the Fiction with Reality! 131
  16. Chapter 10 Artificial Intelligence in HR: Employee Engagement Using Chatbots 147
  17. Part III: Application of AI in Different Sectors
  18. Chapter 11 An Empirical Analysis of Artificial Intelligence Applications of Manufacturing Companies in Turkey 165
  19. Chapter 12 A Comprehensive View of Artificial Intelligence (AI)–Based Technologies for Sustainable Development Goals (SDGs) 183
  20. Chapter 13 Leveraging Artificial Intelligence for Enhanced Risk Management in Banking: A Systematic Literature Review 197
  21. Chapter 14 Exploring the Influence of Artificial Intelligence on the Management of Hospitality and Tourism Sectors: A Bibliometric Overview 215
  22. Chapter 15 Artificial Intelligence in Healthcare Sector in India: Application, Challenges and a Way Forward 233
  23. Chapter 16 Application of Artificial Intelligence and Machine-Learning Algorithms for Forecasting Risk: The Case of the Indian Stock Market 249
  24. List of Figures 263
  25. List of Tables 265
  26. About the Editors 267
  27. Index 269
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