Introducing generative AI to engineers in 20 minutes forces a choice: showcase its power, or build their mindset. I chose mindset. In a recent talk, I walked through three real-world use cases that mirror common student workflows: reading dense papers, exploring new topics, and analyzing data. I demonstrated how AI can be an accelerant—if used…
I was recently invited as a panelist to discuss “Yinz and Machines” at a community event on AI adoption. The conversation took an unexpected turn when one panelist made an analogy that had the room buzzing: Using AI right now is a lot like high schoolers thinking about sex—everyone’s curious, no one’s quite sure what…
Market research is an essential part of my day job developing business and product strategy, yet it can be incredibly time intensive. AI is transforming how we conduct research, accelerating insights while requiring human validation. I wanted to test whether AI could act as a true research partner—helping me brainstorm, structure, and analyze market insights…
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…
Over the last few weeks, social justice topics have exploded across all media in light of recent unfortunate events in the United States. Hand-in-hand, the AI community has also seen a tremendous amount of conversation across multiple social media platforms on algorithmic bias and its implications. While social bias and AI bias are closely interlinked,…
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…
One week into my journey of exploring ethical AI in practice, I know I have only scratched the surface of a potentially high impact domain with tremendous possibilities. AI is here to stay – the genie is out of the bottle. However, we are in the very early stages of defining how man and machine…
Working with Artificial Intelligence (AI) and Data Science (DS) over the past few years, the ethical use of this technology has always been on my radar (if you are new to the widespread nature of AI misuse, check out Cathy O’Neil’s insightful and easy read – Weapons of Math Destruction). I firmly believe in the power…