Kapoor / Chatterjee Platform and Model Design for Responsible AI

Design and build resilient, private, fair, and transparent machine learning models
1. Auflage 2024
ISBN: 978-1-80324-977-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 516 Seiten

No detailed description available for "Platform and Model Design for Responsible AI".

Autoren/Hrsg.

Kapoor, Amita

Chatterjee, Sharmistha

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Table of Contents - Risks and Attacks on ML Models
- The Emergence of Risk-Averse Methodologies and Frameworks
- Regulations and Policies Surrounding Trustworthy AI
- Privacy Management in Big Data and Model Design Pipelines
- ML Pipeline, Model Evaluation and Handling Uncertainty
- Hyperparameter Tuning, MLOPS, and AutoML
- Fairness Notions and Fain Data Generation
- Fairness in Model Optimization
- Model Explainability
- Ethics and Model Governance
- The Ethics of Model Adaptability
- Building Sustainable, Enterprise-Grade AI Platforms
- Sustainable Model Life Cycle Management, Feature Stores, and Model Calibration
- Industry-Wide Use-cases

Über Autor(innen)

Kapoor Amita :

Amita Kapoor is an accomplished AI consultant and educator, with over 25 years of experience. She has received international recognition for her work, including the DAAD fellowship and the Intel Developer Mesh AI Innovator Award. She is a highly respected scholar in her field, with over 100 research papers and several best-selling books on deep learning and AI. After teaching for 25 years at the University of Delhi, Amita took early retirement and turned her focus to democratizing AI education. She currently serves as a member of the Board of Directors for the non-profit Neuromatch Academy, fostering greater accessibility to knowledge and resources in the field. Following her retirement, Amita also founded NePeur, a company that provides data analytics and AI consultancy services. In addition, she shares her expertise with a global audience by teaching online classes on data science and AI at the University of Oxford.Chatterjee Sharmistha :

Sharmistha Chatterjee is an evangelist in the field of machine learning (ML) and cloud applications, currently working in the BFSI industry at the Commonwealth Bank of Australia in the data and analytics space. She has worked in Fortune 500 companies, as well as in early-stage start-ups. She became an advocate for responsible AI during her tenure at Publicis Sapient, where she led the digital transformation of clients across industry verticals. She is an international speaker at various tech conferences and a 2X Google Developer Expert in ML and Google Cloud. She has won multiple awards and has been listed in 40 under 40 data scientists by Analytics India Magazine (AIM) and 21 tech trailblazers in 2021 by Google. She has been involved in responsible AI initiatives led by Nasscom and as part of their DeepTech Club.