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Artificial Intelligence Education Reading

Latest Read: Generative AI : The Insights You Need

Generative AI: The Insights You Need from Harvard Business Review

Generative AI: The Insights You Need from Harvard Business Review

The world discovered Generative AI in the beginning of 2023. ChatGPT introduced over 100 million users to the possibilities of Generative AI. In less than 18 months society has shifted. With Wall Street and Madison Avenue literally banking on new markets, business, education and our globally connected society are witnessing transformation. Microsoft’s $10 billion investment in OpenAI is perhaps the strongest indicator of what GenAI will be expecting to produce. However, there certainly remains a big hill to climb.

New AI startups are creating GenAI business models around generating text, images, code and even animation and video via Sora at rather amazing speeds. GenAI is certainly altering how humans create content on a scale and speed not previously understood by society, government, business and education. So get ready for disruption.

This book will help understand the baseline of GenAI and the potential to change the world. Yet for the organization who decides to jump right in, make sure you understand Chapter 3:?A Framework for Picking the Right Generative AI Project. AI is not the web and GenAI is not html. Organizations must understand risk. Just ask Samsung and you will quickly understand why tech companies are banning GenAI within their internal networks.

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Artificial Intelligence Education Reading

Latest Read: Introduction to Generative AI

Introduction to Generative AI by Numa Dhamani and Maggie Engler.

Introduction to Generative AI by Numa Dhamani and Maggie Engler

Numa holds degrees in Physics and Chemistry from the University of Texas at Austin. She has served as the Principal Investigator on the United States Department of Defense’s research program. Today she is a Principal Machine Learning Engineer at Kungfu.ai.
Numa is an adjunct instructor at Georgetown University.

Maggie holds Masters in Electrical Engineering from Stanford University. She is a safety team member at Inflection AI. Previously Maggie was a Data Science Fellow at the Center for New Data and a Senior Machine Learning Engineer at Twitter. Maggie is also an adjunct instructor at the University of Texas at Austin School of Information.

Perhaps this book should be required reading for any organization’s AI planning team. Yes, your AI staff should have this well understood. However Numa and Maggie convey a grounded understanding of large language models (LLMs). In addition, you will understand the new rush for integrating generative AI (Microsoft and OpenAI) into your organizational workflows. To be fair, they also are addressing organizational benefits, risks, and limitations.

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Artificial Intelligence Education Reading

Latest Read: The Language of Deception

The Language of Deception: Weaponizing Next Generation AI by Justin Hutchens.

The Language of Deception: Weaponizing Next Generation AI by Justin Hutchens

He holds a masters in Computer Security Management from Strayer University and is a candidate Executive MBA at Texas A&M University.

Justin is a former Director, Cybersecurity Implementation & Operations at PwC and Cybersecurity Instructor at The University of Texas at Austin. Today he is a principal at Trace3.

Justin has written an insightful book. In fact, this should be recommended reading for everyone managing AI projects, they’re teams and of course cybersecurity professionals.

So, remember the hype cycle for AI peaked after OpenAI introduced ChatGPT in November 2022? The amazing explosion of ChatGPT’s adoption rate overshadow very basic security flaws within AI systems. Justin is addressing to reveal how AI services are not secure by the companies who are heavily promoting their AI services. And this allows for exploits to thrive since all the attention continues to focus on AI’s hype cycle.

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Education Innovation Reading

Latest Read: Long Life Learning

Long Life Learning: Preparing for Jobs that Don’t Even Exist Yet by Michelle R. Weise.

Long Life Learning: Preparing for Jobs that Don’t Even Exist Yet by Michelle R. Weise

A Fulbright scholar, Michelle holds a Masters and PhD in English from Stanford University and is a former Senior Higher Education Research Fellow at the Clayton Christensen Institute.

She was the former Chief Innovation Officer of Strada Institute for the Future of Work. Today Michelle is principal at her startup Rise and Design.

Michelle is delivering insightful messages for educators, legislators, and anyone interested in the future of jobs across America. While the primary audience is higher education, K12 and legislators should pay attention.

So, everyone above must learn how our global future will require new skills that continue to emerge. AI is certainly hijacking this process even faster that Michelle addressed.

However she does firmly plant the need for educators, industry, and government to collaborate to secure America’s continued economic growth. We must all embrace change at a rapid pace impacting work. In order to stay afloat we must embrace continued learning. So, Long Life Learning reveals the rapid change we are experience today. Simply put the pace has increased since the pandemic. As a result, new learning models are needed starting in K12, expanding into higher education, and culminating in her ‘long life learning’ model.

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Education Innovation Reading

Latest Read: Open Talent

Open Talent: Leveraging the Global Workforce to Solve Your Biggest Challenges by John Winsor and Jin H. Paik

Open Talent: Leveraging the Global Workforce to Solve Your Biggest Challenges by John Winsor and Jin H. Paik

John holds an MBA from the University of Denver. He is Founder and CEO of Open Assembly and visiting Executive at Harvard. He was the former chief innovation officer of Havas.

Jin holds a master’s degree from Harvard University. In addition, he is a co-founder of Altruistic and research scientist at Harvard. He was previously the Head of Labs at the Data, Digital, and Design Institute and founding General Manager at the Laboratory for Innovation Science at Harvard.

John and Jin are certainly delivering a powerful book for organizations. In our post pandemic world, perhaps in fact no greater impact upon the workplace has fundamentally changed the global economy.

While leased office spaces have forever changed, the new normal is hybrid work with AI empowered tools. In fact, by March 2024 most organizations do not yet understand the full impact of AI Agents. These will drastically alter every organization’s idea of work. Perhaps just like the introduction of ChatGPT in November 2022 across the globe. 100 million users within 60 days. AI Agents may have a similar impact upon workflows.

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