Remove Algorithm Remove Black Box AI Remove ML
article thumbnail

Enhancing AI Transparency and Trust with Composite AI

Unite.AI

Several times black-box AI models have produced unintended consequences, including biased decisions and lack of interpretability. Composite AI is a cutting-edge approach to holistically tackling complex business problems. It achieves this by integrating multiple analytical techniques into a single solution.

article thumbnail

Copyright, AI, and Provenance

O'Reilly Media

I can also ask for a reading list about plagues in 16th century England, algorithms for testing prime numbers, or anything else. The problem with Lanier’s concept of data dignity is that, given the current state of the art in AI models, it is impossible to distinguish meaningfully between “training” and “generating output.”

AI 132
article thumbnail

Unlocking the Black Box: LIME and SHAP in the Realm of Explainable AI

Mlearning.ai

Let’s embark on this enlightening journey together, unraveling the mysteries of AI, one explanation at a time. What is Explainable AI? It is a research field on ML interpretability technique whose aims are to understand machine learning model predictions and explain them in a human understandable terms to build trust with stakeholders.