Many entrepreneurs are curious about AI but unsure how to begin. This post offers a grounded starting point for small business owners who want to save time, improve clarity, and protect judgment while experimenting with AI. Through a simple model and four practical examples drawn from a real founder persona, you will learn how to use AI as a thoughtful coworker for writing, research, creation, and learning. The goal is confidence, not complexity.
Fluency with AI tools is not the same as fluency in responsible use. In a recent session with high school students, all of whom used ChatGPT daily, few had explored settings like memory or data sharing, and none had used custom instructions. This gap is not limited to students. In this post, I share practical safety practices and a product thinking mindset that apply to anyone building or using AI. Responsible use is the foundation for responsible building.
This post summarizes a talk demonstrating six practical AI applications with actionable prompting strategies, showcasing how AI can enhance productivity in various professional tasks.
Introducing generative AI to engineers in a concise session highlighted the importance of mindset over mere technical demonstration.
Drawing parallels between AI usage and adolescent curiosity, this post emphasizes the importance of responsible prompting and ethical considerations in AI adoption.
Exploring AI’s role in market research, this post details an experiment assessing AI’s capability to assist in brainstorming, structuring, and analyzing market insights effectively.
A little over a month ago, I set out to take a more focused approach to understanding Large Language Models (LLMs). I used them daily for everyday tasks—summarizing articles, refining emails, creating images—but I wanted to go deeper, with the new and powerful models that are now available. I wanted to answer a fundamental question:…
Irrespective of the role you play on your product team, you can champion the change for responsible innovation. I have curated five tools you can use today to begin the dialogue with your product team.
When referring to Responsible AI, Ethical AI, or Trustworthy AI, I often remind myself that it is not the technology that needs to be responsible, ethical or trustworthy. The humans who are defining, designing, developing and deploying the AI technology are ultimately accountable for anticipating and addressing ethical risks from the use of the technology….
So, you already have a ML model (or are building one) and want to investigate options available to you for evaluating fairness metrics. Where do you start? If you are new to Fairness metrics, I strongly recommend the engaging and easy reading provided at MachinesGoneWrong to understand why it is so difficult to define fairness. At a…
I sometimes ruminate on how my learning journey and insights are different from how I would expect a machine to learn. While the recent launch of OpenAI’s GPT-3 model promises a potential path to Artificial General Intelligence (AGI), I do believe AGI is still a distant dream. Adoption of ethical principles and guidelines while building product is…