Masood / Dawe Responsible AI in the Enterprise

Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI
1. Auflage 2023
ISBN: 978-1-80324-966-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 318 Seiten

No detailed description available for "Responsible AI in the Enterprise".

Autoren/Hrsg.

Masood, Adnan

Dawe, Heather

Weitere Mitwirkende

Price, Ed

Adeli, Dr. Ehsan

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - A Primer on Explainable and Ethical AI
- Algorithms Gone Wild - Bias's Greatest Hits
- Opening the Algorithmic Blackbox
- Operationalizing Model Monitoring
- Model Governance - Audit, and Compliance Standards & Recommendations
- Enterprise Starter Kit for Fairness, Accountability and Transparency
- Interpretability Toolkits and Fairness Measures – AWS, GCP, Azure, and AIF 360
- Fairness in AI System with Microsoft FairLearn
- Fairness Assessment and Bias Mitigation with FairLearn and Responsible AI Toolbox
- Foundational Models and Azure OpenAI

Über Autor(innen)

Masood Adnan:
Adnan Masood, PhD is an artificial intelligence and machine learning researcher, visiting scholar at Stanford AI Lab, software engineer, Microsoft MVP (Most Valuable Professional), and Microsoft's regional director for artificial intelligence. As chief architect of AI and machine learning at UST Global, he collaborates with Stanford AI Lab and MIT CSAIL, and leads a team of data scientists and engineers building artificial intelligence solutions to produce business value and insights that affect a range of businesses, products, and initiatives.Dawe Heather:
Heather Dawe, MSc. is a renowned data and AI thought leader with over 25 years of experience in the field. Heather has innovated with data and AI throughout her career, highlights include developing the first data science team in the UK public sector and leading on the development of early machine learning and AI assurance processes for the National Health Service (NHS) in England. Heather currently works with large UK Enterprises, innovating with data and technology to improve services in the health, local government, retail, manufacturing, and finance sectors. A STEM Ambassador and multidisciplinary data science pioneer, Heather also enjoys mountain running, rock climbing, painting, and writing. She served as a jury member for the 2021 Banff Mountain Book Competition and guest edited the 2022 edition of The Himalayan Journal. Heather is the author of several books inspired by mountains and has written for national and international print publications including The Guardian and Alpinist.Price Ed:
Ed Price is a Senior Program Manager in Engineering at Microsoft, with an MBA in technology management. He leads Microsoft's efforts to publish Reference Architectures on the Azure Architecture Center. Previously, he drove datacenter deployment and customer feedback, and he ran Microsoft's customer feedback programs for Azure development, Service Fabric, IoT, Functions, and Visual Studio. He was also a technical writer at Microsoft for 6 years and helped lead TechNet Wiki. He is the co-author of five books, including Learn to Program with Small Basic and ASP.NET Core 5 for Beginners from Packt.