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 ...

In this week's "Five questions with" feature, meet Deepshikha Bhati, a Kent State University at Stark faculty member with a ...

Human–AI interaction has rapidly moved from experimental labs into everyday life, shaping how people work, learn, and make ...

Principle: Trust is built on traceability. Government must be able to explain every digital action. Agentic systems should provide clear, auditable logs, not summaries or approximations. Opaque ...

When AI falters, it’s easy to blame the model. People assume the algorithm got it wrong or that the technology can’t be trusted. But here’s what I've learned after years of building AI systems at ...

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 ...

Job insecurity alone does not automatically translate into harmful workplace behavior. The study’s key contribution lies in ...

Global supply chains are being reshaped by forces that are both unpredictable and deeply structural. Geopolitical realignment, trade policy shifts, sustainability demands, and talent shortages are ...

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 ...

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 ...