Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

Composite AI 176

Composite AI Explainability Neural Network Black Box AI 176

Mlearning.ai

DECEMBER 31, 2023

Unlike traditional ‘black box’ AI models that offer little insight into their inner workings, XAI seeks to open up these black boxes, enabling users to comprehend, trust, and effectively manage AI systems. Simpler models are generally more interpretable, but might not always deliver the highest accuracy.

Explainable AI 52

Explainable AI Explainability Neural Network Machine Learning 52

Pickl AI

DECEMBER 29, 2024

Understanding the consequences of AI misuse and the challenges of unregulated systems is essential to realising its benefits without harm. Examples of AI Misuse and Consequences AI misuse has led to notable failures with far-reaching impacts. These methodologies enhance trust and reliability, making AI systems more equitable.

Responsible AI 52

Responsible AI Black Box AI Artificial Intelligence Artificial Intelligence 52