This book provides insights on approaches for enhancing ethical practice, professionalism and integrity for future development in academia and beyond. It does so by offering a thorough review of the background and processes to enhance academic integrity in the years of artificial intelligence. The book also explores the future of research integrity and ethics by examining lessons from the past. Ideas from research findings on how to incorporate an integrity culture in continuously changing secondary and higher education are addressed. The chapters are written by international authors who have been working in the fields of integrity sciences, focussing on ways to enhance ethics and integrity amongst students, academics and institutions (including schools). They identify approaches to deter and detect misconduct and discuss the ways to educate academic integrity amongst academic communities. The book addresses best practices from international institutions and how these can be transformed and adopted in different subject areas. Embracing and managing the use of generative artificial intelligence (GenAI) tools in education are key themes throughout. Special attention is given to the ethical use of GenAI, exploring the ways to minimise the misuses via policies and guidelines.

This book provides insights on approaches for enhancing ethical practice, professionalism and integrity for future development in academia and beyond. It does so by offering a thorough review of the background and processes to enhance academic integrity in the years of artificial intelligence. The book also explores the future of research integrity and ethics by examining lessons from the past. Ideas from research findings on how to incorporate an integrity culture in continuously changing secondary and higher education are addressed. The chapters are written by international authors who have been working in the fields of integrity sciences, focussing on ways to enhance ethics and integrity amongst students, academics and institutions (including schools). They identify approaches to deter and detect misconduct and discuss the ways to educate academic integrity amongst academic communities. The book addresses best practices from international institutions and how these can be transformed and adopted in different subject areas. Embracing and managing the use of generative artificial intelligence (GenAI) tools in education are key themes throughout. Special attention is given to the ethical use of GenAI, exploring the ways to minimise the misuses via policies and guidelines.

This book provides insights on approaches for enhancing ethical practice, professionalism and integrity for future development in academia and beyond. It does so by offering a thorough review of the background and processes to enhance academic integrity in the years of artificial intelligence. The book also explores the future of research integrity and ethics by examining lessons from the past. Ideas from research findings on how to incorporate an integrity culture in continuously changing secondary and higher education are addressed. The chapters are written by international authors who have been working in the fields of integrity sciences, focussing on ways to enhance ethics and integrity amongst students, academics and institutions (including schools). They identify approaches to deter and detect misconduct and discuss the ways to educate academic integrity amongst academic communities. The book addresses best practices from international institutions and how these can be transformed and adopted in different subject areas. Embracing and managing the use of generative artificial intelligence (GenAI) tools in education are key themes throughout. Special attention is given to the ethical use of GenAI, exploring the ways to minimise the misuses via policies and guidelines.