Towards Sustainable Artificial Intelligence: A Framework to Create Value and Understand Risk

Author:   Ghislain Landry Tsafack Chetsa
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484272138


Pages:   140
Publication Date:   31 July 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Towards Sustainable Artificial Intelligence: A Framework to Create Value and Understand Risk


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Author:   Ghislain Landry Tsafack Chetsa
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.250kg
ISBN:  

9781484272138


ISBN 10:   1484272137
Pages:   140
Publication Date:   31 July 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: AI in our Society.- Chapter 2 Ethics of the Data Science Practice.- Chapter 3 Sustainable AI Framework (SAIF): Overview of SAIF framework.- Chapter 4 Intra-organizational understanding of AI: Towards Transparency.- Chapter 5 AI Performance Measurement: Think business values.- Chapter 6 SAIF in Action: A Case Study.- Chapter 7 Alternative Avenues for Regulating AI Development.- Chapter 8 AI in the Medical Decision Context: The use case of healthcare.- Chapter 9 Conclusions and discussion.

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Author Information

Ghislain Tsafack is Head of Data Science at Elemental Concept 2016 LTD (EC), where he leads the organization’s AI strategy. As part of this, he leads the company’s work in leveraging the latest advances in AI to help clients create value from their data and auditing AI systems developed by third parties on behalf of potential investors.  Ghislain’s work in the healthcare industry at EC involves supporting the development of data related healthcare products for his clients. This made him appreciate the challenges and the complexity of developing AI systems that people trust to make the right decision for them and stimulated him to write this book.Before joining EC Ghislain held positions as data scientist in the telecommunications and energy sectors. Prior to this, Ghislain worked as an academic at the French National Institute for Research and Automation (INRIA) and the University of Lyon 1. His work primarily focused on analyzing the behaviors of high performance systems to improve their energy efficiency and gave him the opportunity to co-author several scientific books presenting methodologies for improving the energy efficiency for large scale computing infrastructures. He holds a PhD in computer science from Ecole Normale Supérieure of Lyon, France.

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