Tag: Artificial Intelligence

Latest Read: The Language of Deception

Post author By Don Kasprzak
Post date March 2, 2024

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.

Tags Artificial Intelligence, Justin Hutchens, The Language of Deception

Artificial Intelligence Education Reading

Latest Read: Grokking Machine Learning

Post author By Don Kasprzak
Post date February 10, 2024

Grokking Machine Learning by Luis Serrano. He holds a Masters in Mathematics from the University of Waterloo and PhD in Mathematics from the University of Michigan.

Luis worked as a postdoctoral researcher at the Laboratoire de Combinatoire et d’Informatique Mathématique at the University of Quebec at Montreal.

Today Luis is a research scientist in quantum artificial intelligence at Zapata Computing. He previously worked as a Machine Learning Engineer at Google, Lead Artificial Intelligence Educator at Apple, and Head of Content in Artificial Intelligence and Data Science at Udacity.

The opening chapters provide a good overview to Machine Learning before addressing linear regression. As with previous Grokking series books (below) readers will certainly be learning about supervised algorithms that classifying data.

However Luis is also addressing a much needed understanding of established methods to simplify data clean up in order to make reporting actionable. Likewise, an understanding the basics of Python will make this book’s examples easily understood. To his credit, Luis’ feels that anyone with high school algebra will be able to understand his book.

Tags Artificial Intelligence, Grokking Machine Learning, Luis Serrano, machine learning

Artificial Intelligence Education Reading

Latest Read: AI and the Future of Education

Post author By Don Kasprzak
Post date February 3, 2024

AI and the Future of Education: Teaching in the Age of Artificial Intelligence by Priten Shah.

He holds an M.ED. in Education Policy and Management from the Harvard. Priten is CEO of Pedagogy.Cloud and founder of the civic-focused nonprofit United 4 Social Change.

Priten is addressing the impact of AI upon education in mid 2023. The date is important due to the weekly advances in the AI industry and a near frantic desire for teachers in K12 and Higher Education to understand the impact upon teaching.

Perhaps the challenge to all authors addressing AI’s impact across education is the need for educational systems to protect students while trying to understand the security and privacy impacts AI has upon schools that must meet those privacy mandates for children.

Then again, within the last six to eight months the AI Agents announced by OpenAI, Google, and Microsoft will certainly be viewed by teachers as a threat. It may surprise many that when teachers are requesting access to Microsoft CoPilot, they overlook this AI’s agent functions that will be available to them 24/7 for every class they are enrolled in and includes agent functions for academic support.

Tags AI, Artificial Intelligence, Future of Education, Priten Shah

Artificial Intelligence Education Reading

Latest Read: Leading with AI and Analytics

Post author By Don Kasprzak
Post date January 24, 2024

Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value by Eric Anderson and Florian Zettelmeyer.

Eric is Professor of Marketing, former Chair of the Marketing Department and Director of the Kellogg-McCormick MBAi Program at Northwestern University. He holds a PhD in Management Science from MIT and has taught previously at the University of Chicago and the University of Rochester.

Florian is Professor of Marketing at Northwestern University and directs the Program on Data Analytics. He holds a PhD in Marketing from MIT and previously taught at the University of California at Berkeley, while also briefly working at McKinsey. He is a senior science leader at Amazon leading their Advertising Economics organization.

A very well written book with a targeted audience for organizational leadership. This wonderful introduction is addressing AI and business analytics for leaders who actually rely upon senior managers to execute analytics for their organization.

Perhaps no better example of establishing a comprehensive plan to deploy an Artificial Intelligence Analytics (AIA) Framework. In fact, the key for organizational leadership is to understand what is going on with your data. Ultimately this will provide insights to support any organization’s integration of AI services within their digital transformation.

Tags Artificial Intelligence, data science, Eric Anderson, Florian Zettelmeyer, Leading with AI and Analytics

Artificial Intelligence Education Reading

Latest Read: Unmasking AI

Post author By Don Kasprzak
Post date January 17, 2024

Unmasking AI: My Mission to Protect What Is Human in a World of Machines by Joy Buolamwini.

Joy is a computer scientist and digital activist based at the MIT Media Lab. She founded the Algorithmic Justice League. She is a Rhodes Scholar, a Fulbright fellow, a Stamps Scholar, an Astronaut Scholar, and an Anita Borg Institute scholar. Joy holds a Masters and PhD in Media Arts & Sciences from MIT.

Unmasking AI is Joy’s memoir regarding her graduate work at Harvard. Joy is introducing her project regarding facial recognition. She realized her own face could not be identified unless she actually placed a white Halloween mask in-front of her face as a camera captured and attempted to identify her.

However, her work contributes to demonstrating the in accuracy of AI. Joy research is indeed like Dorthy in The Wizard of Oz, pulling back the curtain on the inaccuracies of AI facial recognition systems. And to some extent, also exposing the growing wealth of companies profiting from these already deployed.

Yet when informing her thesis committee that bias in AI has the potential to harm women and minorities, the perception includes many do not want to acknowledge these errors. Joy even receives feedback which questions the level of harm faulty facial recognition, and if is actually ‘significant’ enough to warrant this research.

Tags Artificial Intelligence, Bias, Joy Buolamwini, Unmasking AI