Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving their explainability and reliability is constrained by massive resource ...

Banks will leverage Explainable AI (XAI) tools like SHAP and LIME to demystify complex models, making AI-driven decisions and ...

Principle: Trust is built on traceability. Government must be able to explain every digital action. Agentic systems should ...

Trust only grows when companies can track their AI processes, fully explain the methods employed to arrive at outputs, and ...

Stephano Slack LLC, a leader in the accounting and financial services sector, and Seekr today announced a strategic collaboration to deploy secure, explainable AI agents across core advisory and audit ...

AI decisions are only defensible when the reasoning behind them is visible, traceable, and auditable. “Explainable AI” delivers that visibility, turning black-box outputs into documented logic that ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

A research team led by Professor Jaesik Choi of KAIST's Kim Jaechul Graduate School of AI, in collaboration with KakaoBank ...

Thredd CTO Edwin Poot explains how explainable AI and real-time, context-aware decisioning are reshaping digital commerce and ...

Artificial intelligence (AI) and machine learning (ML) are revolutionizing the way we understand and predict soil processes. Yet, while data-driven models ...