• Lessons from Old Hollywood: How Regulation Fuels AI Creativity

    ….and stop winging. I am getting sick and tired of AI Vendors moaning and complaining. They cry in their lattes about regulations and compliance inhibiting innovation and competitiveness. We just have to look at how entire industries in the past managed to create and innovate under very strict regulations and laws. In the Zoom calls…


  • The AI Privacy Paradox: Navigating Innovation and Ethics in the Age of Regulatory Uncertainty

    Technical leaders stand at a critical juncture where the exponential value of AI systems collides with escalating privacy concerns. The AI privacy paradox – the tension between data-hungry machine learning models and the ethical imperative to protect individual rights – has become the defining challenge of enterprise AI adoption. As governments weigh deregulation to spur…


  • Evaluating AI Vendors: A Strategic Guide Part 2

    When evaluating AI vendors, we must look beyond flashy demos and buzzwords (AI FOMO more on this later). Technical expertise is paramount, but equally crucial is the vendor’s ability to align with your specific business needs and industry challenges. You should seek partners who not only possess cutting-edge AI capabilities but also demonstrate a deep…


  • How to position Trust & Compliance into my company

    Embracing Trust & Compliance Technology: A Necessity for Ethical AI I apologize for the lack of posts over the summer, I have had a busy summer. I have been looking again at some of the base needs your company will require in order to be success and more importantly RISK FREE in using Generative AI…


  • Choosing Ethical Frameworks in the Generative AI Age

    Choosing an ethical AI framework necessitates careful consideration of your organizational needs and ethical concerns, in order to ensure applicability, compliance, and overall fairness. Here are the steps for assessing and choosing an ethical AI framework: 1. Define Purpose: Understand the key objectives and the use-case scenarios for the AI in your organization. This will…


  • Part 2: Ethics in AI

    In attempting to come to grips with where ethics is being applied to AI I have found through formal research approaches that both private and public sector organizations and companies have created frameworks or operating principles for ethical use of data and algorithms. That is the good news.  The bad news is they are not…


  • Part 1: A Journey into Practical Ethics and AI

    Hello World,   I have not posted in a while since I have been a little pre-occupied doing my job.  I read daily and keep so many articles on AI and I see the tide come in and go out on opinion on where AI is in being used and how advanced or how simplistic…


  • AI and Ethical use of data: Data Validity Part 1

    As mentioned yesterday I had the pleasure of taking a course on Ethics and Data Science.  Given that data science is a key area of the Machine Learning area of AI I thought I would expand on the subject as a starting point.  Each bullet I discuss has a more detailed discussion required.  But I…


  • AI and Ethics

                                  On a recent trip to New Orleans for work, we had the privilege of touring the location that houses and builds the floats for the Mardi Gras parade.  I took quite a few photographs but this grouping of money bags…