You're reading from Responsible AI in the Enterprise

Product typeBook

Published inJul 2023

PublisherPackt

ISBN-139781803230528

Edition1st Edition

Concepts

Artificial Intelligence

Authors (2):

Adnan Masood

Heather Dawe

View More author details

Summary

In this chapter, we covered a lot of ground exploring the governance, compliance, and regulatory landscape. We identified the key action items for an enterprise AI governance framework: identifying what data is available and how it can be used to improve decision-making; creating a governance structure that will ensure the responsible use of AI technologies; establishing clear goals and objectives for the implementation of AI technologies; allocating resources accordingly to support the development and deployment of AI applications; and finally, monitoring and evaluating the performance of AI technologies to ensure they are meeting business objectives.

We proposed the AI STEPS FORWARD framework as a comprehensive approach to responsible AI practices that emphasizes the importance of transparency, fairness, and ethical behavior in AI development and deployment. By offering customizable governance dashboards and checklists, as well as promoting diverse perspectives and continuous...

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Responsible AI in the Enterprise

Published in: Jul 2023Publisher: PacktISBN-13: 9781803230528

Authors (2)

Adnan Masood

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.
Read more about Adnan Masood

Heather Dawe

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.
Read more about Heather Dawe

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Authors (2)

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