Rob Futrick, Anaconda CTO, drives AI & data science innovation. 25+ years in tech, ex-Microsoft, passionate mentor for STEM diversity. As artificial intelligence (AI) models grow in complexity ...

Mechanistic interpretability is emerging as a strategic advantage for businesses looking to deploy AI responsibly.

The workshop’s guest speakers addressed various topics in interpretability, including accuracy and intelligibility tradeoffs, knowledge representation, learning Markov models from data, neuro-symbolic ...

As climate risk measurement and management become mainstream in business, accessibility to insights derived from climate data science is more paramount than ever. Data and machine learning power ...

The rise of generative artificial intelligence (AI), particularly large language models (LLMs), has marked a transformative shift in data analysis, interpretation and content generation. These models, ...

Interpretability - It is easier to know the reason behind individual decisions or predictions if the interpretability of a machine learning model is higher. Evaluation of interpretability: Application ...

The analysis shows that high-quality data will be exhausted soon, likely before 2026. While the sources for low-quality data will be exhausted only decades later, it’s clear that the current ...

Google-affiliated researchers developed an open source framework -- Language Interpretability Tool (LIT) -- designed to explore and audit language models.