OpEd
John Bailey
An AI Healthcare Coalition Suggests a Better ...

In the rapidly evolving landscape of artificial intelligence (AI), the dialogue often veers between the extremes of stringent regulation, like the European Union’s AI Act, and laissez-faire approaches that risk unbridled technological advances without sufficient safeguards. Amidst this polarized debate, the Coalition for Health AI (CHAI) has emerged as a promising alternative approach that addresses the ethical, social, and economic complexities introduced by AI, while also supporting continued innovation.  

An AI Healthcare Coalition Suggests a Better Way of Approaching Responsible AI
John Bailey
Understanding the Capabilities of GenAI

It's difficult to understand some technologies because they're better experienced than described. I've found GenAI to be one example where it's difficult to grasp the full range of capabilities unless you see some of it in action. Over the last year, I've given a number of presentations that tried to contextualize GenAI for the audience by demonstrating relevant use cases. I compiled them in this long master deck, which I periodically update and am sharing in the hope that it may spark some ideas for you.

Understanding the Capabilities of GenAI
John Bailey
Faster, Please! Podcast Discussion on AI

I had a great time joining James Pethokoukis on his podcast, Faster, Please! We touched on a number of areas including how AI can help improve teaching and learning.

Faster, Please! Podcast Discussion on AI
John Bailey
Why AI Struggles with Basic Math (and How ...

Large Language Models (LLMs) have ushered in a new era of artificial intelligence (AI) demonstrating remarkable capabilities in language generation, translation, and reasoning. Yet, LLMs often stumble over basic math problems, posing a problem for their use in settings—including education—where math is essential. However, these limitations are being addressed through improvements in the models themselves along with better prompting strategies.  

Why AI Struggles with Basic Math (and How That’s Changing)
John Bailey
2023 Wrap-Up

As we close out 2023, I find myself reflecting on a year filled with both personal achievements and significant developments in the world of AI. It was an honor to learn that several of my written works were recognized and included in various "best of" lists.

2023 Wrap-Up

An AI Healthcare Coalition Suggests a Better Way of Approaching Responsible AI

An AI Healthcare Coalition Suggests a Better Way of Approaching Responsible AI

In the rapidly evolving landscape of artificial intelligence (AI), the dialogue often veers between the extremes of stringent regulation, like the European Union’s AI Act, and laissez-faire approaches that risk unbridled technological advances without sufficient safeguards. Amidst this polarized debate, the Coalition for Health AI (CHAI) has emerged as a promising alternative approach that addresses the ethical, social, and economic complexities introduced by AI, while also supporting continued innovation.  

Understanding the Capabilities of GenAI

Understanding the Capabilities of GenAI

It's difficult to understand some technologies because they're better experienced than described. I've found GenAI to be one example where it's difficult to grasp the full range of capabilities unless you see some of it in action. Over the last year, I've given a number of presentations that tried to contextualize GenAI for the audience by demonstrating relevant use cases. I compiled them in this long master deck, which I periodically update and am sharing in the hope that it may spark some ideas for you.

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Why AI Struggles with Basic Math (and How That’s Changing)

Why AI Struggles with Basic Math (and How That’s Changing)

Large Language Models (LLMs) have ushered in a new era of artificial intelligence (AI) demonstrating remarkable capabilities in language generation, translation, and reasoning. Yet, LLMs often stumble over basic math problems, posing a problem for their use in settings—including education—where math is essential. However, these limitations are being addressed through improvements in the models themselves along with better prompting strategies.