A major new systematic review finds that explainability has become the weakest link in the generative AI ecosystem, with ...
Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...
AI’s predictive power is transformative, but its lack of explainability, contextual understanding, and causal reasoning ...
Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...
We study the role of AI transparency and explainability in shaping user trust, comprehension, and decision satisfaction. Our research evaluates how different forms of explanations—such as procedural ...
Hallucinations, lack of traceability, and lack of transparency cited as biggest risks; findings underscore need for glass-box AI tools like Klick Guardrail with audit trails and explainability A ...
Enterprise AI adoption has entered a more pragmatic phase. For technology leaders, the challenge is no longer convincing the organisation that AI has potential. It is ensuring that systems influencing ...
The day is June 20, 2025 . I am standing on a stage at the International Paris Airshow at Le Bourget, pitching and ...
Berlin — New analysis from Transparency International published today reveals how weak access rules and poor transparency safeguards at the UN climate change body (UNFCCC) allow fossil fuel lobbyists ...
Artificial intelligence is transforming how financial institutions manage compliance. Tasks like onboarding, screening, and transaction monitoring are increasingly handled by machine learning models ...
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