Towards Sustainable Artificial Intelligence: A Framework to Create Value and Understand Risk 1st ed. Edition PDF
Preview Towards Sustainable Artificial Intelligence: A Framework to Create Value and Understand Risk 1st ed. Edition
So far, little effort has been devoted to developing practical approaches on how to develop and deploy AI systems that meet certain standards and principles. This is despite the importance of principles such as privacy, fairness, and social equality taking centre stage in discussions around AI. However, for an organization, failing to meet those standards can give rise to significant lost opportunities. It may further lead to an organization’s demise, as the example of Cambridge Analytica demonstrates. It is, however, possible to pursue a practical approach for the design, development, and deployment of sustainable AI systems that incorporates both business and human values and principles.
This book discusses the concept of sustainability in the context of artificial intelligence. In order to help businesses achieve this objective, the author introduces the sustainable artificial intelligence framework (SAIF), designed as a reference guide in the development and deployment of AI systems.
The SAIF developed in the
book is designed to help decision makers such as policy makers, boards,
C-suites, managers, and data scientists create AI systems that meet
ethical principles. By focusing on four pillars related to the
socio-economic and political impact of AI, the SAIF creates an
environment through which an organization learns to understand its risk
and exposure to any undesired consequences of AI, and the impact of AI
on its ability to create value in the short, medium, and long term.
The list of books you might like
