Everyday AI

This week, I've been working on the new INSTANT AI: APPLE INTELLIGENCE EDITION Chapter 8: Health & Fitness Insights Powered by AI. As part of this, I've been reviewing and considering the implications of Apple's latest information on Project Mulberry (and its successor project called Project Quartz). Here's my take on how this all comes together: 

INSTANT AI UPDATE 4: BUSY TIME FOR AI! Apple delays Siri, OpenAI expands tools, and six companies leading the AI charge. In this week's AI post, we delve into significant developments shaping the indust

I have long relied on basic accessibility tools that allow me to function normally in my academic and professional pursuits. I’ve been privileged to work with scores of differently-abled colleagues, including those with vision, hearing, emotional, physical, and intellectual challenges. As a consumer of accessibility capabilities and a longtime proponent of a genuinely equal-opportunity workplace, I believe that AI offers breakthrough capabilities for those of all abilities. 

This process is not about pointing out flaws but about learning how to guide the AI more effectively. When assessing any AI chatbot responses, consider the following 5-step criteria we developed called the TRACE method. Think of this as a checklist to quickly evaluate each response.

Crafting effective AI prompts (questions, requests, commands, instructions, etc.) is both an art and a science. In this post, we’ll break down a simple, repeatable framework for writing great prompts, making it easier for you to communicate with your AI chatbot of choice and get the best possible results. To help you remember the key elements, we’ll use the mnemonic CLEAR.