The Tech industry can be a stormy sea, so I'd like to share a few seawomanship advice to my fellow young and younger women software engineers. In this first part, I talk about performance and promotions, and how to be the captain of your own career. All aboard!
An AI, a software engineer, and a security researcher walk into a bar... It starts as a joke, and ends with concrete recommendations to build effective teams that can shape the future of AI products.
GenAI heightens the need for both AI and security experts to come together. But given their widely diverging views on technology, risk acceptance, and more, can Security and AI ever see eye to eye?
If Mark Twain was alive today, he would have said "Lies, damn lies, and Data Science". Data Science is due for a reckoning with ritualistic Machine Learning. In this article, I talk about all the ingredients that make up this explosive cocktail, and how you can keep your data scientists accountable.
Have you heard about this AI-powered crypto block-chain NFT start-up that uses LLMs to disrupt the pop-corn industry? Yeah, me too.
The goal of this article is to give you a better sense of what is what in AI, where things begin and end. Definitions often rely on arbitrarily choosing where things start and end. But in AI as in Nature, things may be fuzzy and overlap. Unless cited, the nomenclatures and definitions below are my own.
In AI We Trust, or at least, we would like to. We all have become guinea pigs for AI systems, and we are experiencing the kink of an immature regulatory and compliance framework. Let's dive in to where AI regulation is at in Europe and the US, as well as what AI governance should look like.
The sudden democratization of Generative Artificial Intelligence (genAI) tools, especially those backed by Large Language Models (LLMs), has enflamed passions and questioned our fundamental understanding of intelligence, consciousness, and reasoning. For some, LLMs are the latest expression of age-old questions. Can machines think? Can machines become sentient? What is consciousness? From philosophers to Star Trek fans, many have asked those questions. For others, it is an excellent source of click-bait titles
Artificial Intelligence (AI) is now ubiquitous in our daily life, and we have become - willingly or unwillingly - guinea pigs . In the future, the AIpocalypse may yet be an action-packed fight against the Terminator, but for now, it is something closer to a boring dystopia à la 1984.
In this article, I introduce the notions of AI risk, AI harm, and AI threat, and present recent examples of harmful AI. I also point at a few resources to keep you informed and safe .
"AI will take our jobs. AI consumes so much electricity just to generate frivolous things. AI is overhyped"... There are many urgent and legitimate concerns about AI technology, which beg the question: Can AI even do good things for Humanity?
Today, let's look at some good news about the impact of algorithms and data on humanity's well-being.
The sudden democratization of Generative Artificial Intelligence (genAI) tools, especially those backed by Large Language Models (LLMs), has enflamed passionate innovators and snake oil merchants alike.
This blog post aims to help you better understand what is AI, and equip you to fight against sensational claims.