The Little Book of Deep Learning

The Little Book of Deep Learning François Fleuret, professor of computer science at the University of Geneva (Switzerland), has written a book about deep learning. His book targets STEM background readers looking for a minimum technical knowledge to understand NLP and generative models. To read the book, please click on this link.

Why Generative AI is more dangerous than you think

Why Generative AI is more dangerous than you think A lot has been written about the dangers of generative AI in recent months and yet everything I’ve seen boils down to three simple arguments, none of which reflects the biggest risk I see headed our way. Before I get into this hidden danger of generative AI, it […]

Lina Khan: We must regulate AI. Here’s How.

Lina Khan: We must regulate AI. Here’s How. Lina Khan, the Chair of Federal Trade Commission, writes in the New York Times on regulation of AI. This article is originally published in the New York Times. Please click on this link to read the full article.

EU Proposes New Copyright Rules for Generative AI

EU Proposes New Copyright Rules for Generative AI In this Reuters article, Supantha Mukherjee, Foo Yun Chee and Martin Coulter write about the new proposal within the EU parliament about copyright of generative AI. To read the full article, please click on this link.

Course: ChatGPT Prompt Engineering for Developers

Course: ChatGPT Prompt Engineering for Developers In this short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including: Summarizing (e.g., summarizing user reviews for brevity) Inferring (e.g., sentiment […]

On TechCrunch: EU lawmakers eye tiered approach to regulating generative AI

EU lawmakers eye tiered approach to regulating generative AI Natasha Lomas from TechCrunch writes about how “EU lawmakers in the European parliament are closing in on how to tackle generative AI as they work to fix their negotiating position so that the next stage of legislative talks can kick off in the coming months.” This […]

AI Cannot Read Your Mind

AI Cannot Read Your Mind Authors: Visar Berisha and Pavan Turaga (Arizona State University) Can AI read your mind? That is the question on many minds these days. A recent study to be published at the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2023 has been cited in popular media as evidence […]

Defining the scope of AI regulations

Jonas Schuett has published a paper titled “Defining the scope of AI regulations” in the journal of Law, Innovation & Technology. According to Jonas, “The paper argues that the material scope of AI regulations should not rely on the term “artificial intelligence”, mainly because existing AI definitions don’t meet the requirements for legal definitions (e.g. […]

KU Leuven AI Summer School: AI and Interdisciplinary

Victoria Hendrickx and Nathalia Smuha write an article on the push towards interdisciplinary in AI. “Interdisciplinary research is becoming increasingly popular, especially in the domain of artificial intelligence (AI) where it is difficult to fathom societal opportunities and risks without considering insights from various disciplines. However, taking an interdisciplinary approach also comes with several challenges, […]