New tool helps people choose the right method for evaluating AI models, MIT News
Saliency cards, developed at MIT and IBM, seek to describe a machine-learning model’s behavior and to help users quickly compare methods so they can choose the right one for their task.
Algorithmic bias detection and mitigation: Best practices and policies to reduce consumer harms
Learning to grow machine-learning models, MIT News
New tool helps people choose the right method for evaluating AI models, MIT News
IZA World of Labor - How is new technology changing job design?
New tool helps people choose the right method for evaluating AI models
Sustainability, Free Full-Text
University Policies on AI Writing Tools
Google DeepMind's new AI tool helped create more than 700 new materials
Future of Testing in Education: Artificial Intelligence - Center for American Progress
Why AI and machine learning are drifting away from the cloud - Protocol
NVIDIA AI Foundation Models: Build Custom Enterprise Chatbots and Co-Pilots with Production-Ready LLMs
Minerva: Solving Quantitative Reasoning Problems with Language Models – Google Research Blog
Evaluation guidelines for machine learning tools in the chemical sciences
New tool helps people choose the right method for evaluating AI models, MIT News
New tools are available to help reduce the energy that AI models devour, MIT News
