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Artificial Intelligence Education Innovation Reading

Latest Read: Prediction Machines

Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb.

Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb

Ajay Agrawal is an economics professor at the University of Toronto’s Rotman School of Management as well as the Professor of Strategic Management.

Joshua Gans is a Professor of Strategic Management at the University of Toronto’s Rotman School of Management. Joshua is also Chief Economist of the University of Toronto’s Creative Destruction Lab.

Avi Goldfarb is the Chair in Artificial Intelligence and Healthcare and Professor of Marketing at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, and a Research Associate at the National Bureau of Economic Research. In addition, Avi’s research focuses on the opportunities and challenges of the digital economy.

Ajay, Avi, and Joshua are certainly diving deep into the disruptive and transformational world of decision making. They are framing AI as a prediction tool. Perhaps most important is today’s economies of scale make this very inexpensive yet is not designed to remove or replace humans from their jobs. Yet the impact of AI will be far reaching across industries, work and the daily lives of global citizens.

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Artificial Intelligence Education Globalization Innovation Reading

Latest Read: Atlas of AI

Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford. Kate has a PhD from the University of Sydney. Kate is a research professor of communication at USC, senior principal researcher at Microsoft Research, and an honorary professor at the University of Sydney.

Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford

She is the inaugural Visiting Chair for AI and Justice at the École Normale Supérieure in Paris, where she co-leads the international working group on the Foundations of Machine Learning. In 2021, she received the Miegunyah Distinguished Visiting Fellowship at the University of Melbourne.

Furthermore, Kate co-founded multiple interdisciplinary research groups including FATE at MSR, AI Now Institute at NYU, and Knowing Machines at USC. Kate has advised policy makers in the United Nations, the Federal Trade Commission, the European Parliament, the Australian Human Rights Commission, and the White House. Atlas of AI was named one of the best books on technology in 2021 by the Financial Times.

Kate is certainly delivering a powerful book addressing hidden costs of artificial intelligence. The list is rather lengthy, detailed and must not be overlooked. From natural resources, labor exploitation, failures of privacy in massive data collections, to undemocratic governance this is certainly eye opening. She is certainly revealing the cost of AI both upon the earth’s mining sites and factories, to snake oil salesmen exploiting workers in third world countries who ‘act as the ai’ in their products.

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Artificial Intelligence Education Reading

Latest Read: Own the AI revolution

Own the A.I. Revolution: Unlock Your Artificial Intelligence Strategy to Disrupt Your Competition by Neil Sahota and Michael Ashley. Neil holds an MBA from University of California, Irvine and is CEO of ACSI Labs.

Own the A.I. Revolution: Unlock Your Artificial Intelligence Strategy to Disrupt Your Competition by Neil Sahota and Michael Ashley

Disappointed to read a book that is about the hype of AI with no content. There is little value in the book outside of Chapter 2 which provides a short history of AI. However, this is the basic theme of his book, tidbits without solid background. Perhaps the book needs to address business risk including the impact of AI hallucination rates.

In addition, the second section of this book is just a series of conversations with Thought Leaders. Too many topics to deliver any solid hypothesis. Neil jumps around asking how AI will impact Medicine, Innovation, Law, Language, Education, Sports, etc.. So, you get the picture.

He closes with insights to the deployment of AI services in major Chinese cities and Saudi Arabia. Did not quite follow this closing chapter either. Pure hype to sell a book.

In conclusion, this book certainly has little value and is poorly written. This book also has a somewhat limited audience since the content is lightweight and does not provide any example how organizations can ‘own’ the revolution by adding value.


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Artificial Intelligence Education Innovation Reading

Latest Read: The Future of Work

The Future of Work: The Insights You Need from Harvard Business Review.

The Future of Work: The Insights You Need from Harvard Business Review

Published in 2021 this HBR series is a collection of published articles from authors addressing how AI is impacting work, how organizations can address a fundamental change to workflows, and how employees can thrive in the age of AI.

The most overlooked element addressed it an organization’s downstream impact upon their workforce. Impacted by the pandemic, the accelerating change of digital transformations is changing. Global social justice movements also changed the idea of ‘work’ across the globe. As a result, organizations must adopt new flexible work arraignments.

However success will be organizational shifts to address an inclusive workforce that can result in stronger relationships to their employees. Multiple authors acknowledge how the pandemic changed the depth of relationships between organizational leaders and their employees.

However the key factor of success will be organizational shifts to address an inclusive workforce that can result in stronger relationships to their employees. Multiple authors acknowledge how the pandemic changed the depth of relationships between organizational leaders and their employees.

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Artificial Intelligence Education Reading

Latest Read: Radically Human

Radically Human: How New Technology Is Transforming Business and Shaping Our Future by Paul R. Daugherty and H. James Wilson.

Radically Human: How New Technology Is Transforming Business and Shaping Our Future by Paul R. Daugherty and H. James Wilson

Paul is Chief Technology & Innovation Officer at Accenture. He holds a BS in computer engineering from the University of Michigan. James is Accenture’s Global Managing Director and former Managing Director of Accenture Research.

So, the real compelling idea for this book is the authors upfront note: we wrote the book just as the pandemic began. As a result everything changed, including the pace of change. As such, they indicate “IT changes we planned to undertake over 12 to 18 months occurred in a matter of days.” This actually serves as a baseline for their view of how AI innovations are turning the world upside.

Their focus is explored via an IDEAS framework. This is a combination of innovation components: Intelligence, Data, Expertise, Architecture, and Strategy. Their position: each are building blocks that lead to a future-oriented business marketplace driven by ‘all things’ AI. In addition, their position is that leading organizations will leverage human-machine collaboration to transform their organizational processes.