Argues that the term 'Open Source' is misleading for LLMs and proposes the new term 'PALE LLMs' (Publicly Available, Locally Executable).
Explores the concept of 'intellectual debt' in AI and software systems, comparing it to The Sorcerer's Apprentice and arguing for open society principles as a solution.
Analyzes IBM's punch card role in the Holocaust to draw parallels with modern AI risks and corporate ethics in technology.
An opinion piece arguing against using AI-generated images, highlighting ethical concerns and the negative impact on professional illustrators' livelihoods.
A developer argues that AI should focus on automating tedious tasks to free up human energy for creative and meaningful work.
A reflection on AI tools like ChatGPT and Midjourney, agreeing that AI is useful for generating inputs but not client outputs.
An analysis of GitHub Copilot's ethical and legal implications regarding open source licensing, arguing it facilitates the laundering of free software into proprietary code.
A high-level guide to tools and methods for understanding AI/ML models and their predictions, known as Explainable AI (XAI).
Explores practical processes for building trust and ensuring ethics in AI development, focusing on transparency, bias, and security.
Explores practical aspects of building trust in AI systems, focusing on trust in the development process, results, and the company itself.
Explores the interconnected principles of trust, ethics, transparency, and accountability in the development and deployment of Artificial Intelligence systems.
Analyzes the fallout from Timnit Gebru's firing from Google and debates appropriate community responses in the AI research field.
