The Ethics of Artificial Intelligence in Education
Subject Areas :
1 -
Keywords: Artificial Intelligence , Applied Ethics, Ethics ,
Abstract :
The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines,
policies, and regulations to ensure the positive impact of artificial intelligence in learning. Throughout the different chapters of the book, an effort has been made to address various dimensions and aspects of artificial intelligence in education, or more broadly, in teaching and learning. The central point of the book is to emphasize that the world needs ethical principles and standards to ensure that transformative technologies serve human goals, not the other way around. This is a clear request that UNESCO has heard from its member states, urging them to ensure that AI creates fair, responsible, and transparent solutions, combats bias, enhances autonomy and agency, and fights against discrimination. The Recommendation specifically underlines the need for a multi-stakeholder construct around data governance and ownership, and pushes for the adoption of a ‘digital commons’ approach to encourage companies to share the data they collect with other stakeholders, as appropriate, for the benefit of research, innovation, or the public
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