CrowdStrike plans to acquire Fiddler and add its AI-agent evaluation, behavioral monitoring and explainability tools to Falcon as Falcon Observe, which the…

🌱 Our ongoing exploration in Systems for Public Good consistently reminds us that a flourishing society is built on wise investments in shared resources and robust democratic processes. 🧭 Yesterday, in 🤝 Cultivating Acceptance for Citizen Power in AI Governance, we delved into crucial strategies for ensuring that diverse citizen voices are genuinely integrated into expert-led AI policy processes, from mandated citizen assemblies with veto power to co-creation funds and explainability mandates. We also explored global frameworks for sharing citizen-generated AI monitoring data, proposing decentralized international data trusts, a UN/UNESCO protocol for incident reporting, and functionally financed global AI p...

🌱 Our ongoing exploration in Systems for Public Good consistently reminds us that a flourishing society is built on wise investments in shared resources and robust democratic processes. 🧭 Yesterday, in 🤝 Beyond Tokenism: Institutionalizing Citizen Power in AI Policy, we delved into crucial strategies for ensuring that diverse citizen voices are genuinely integrated into expert-led AI policy processes, from mandated citizen assemblies with veto power to co-creation funds and explainability mandates. We also explored global frameworks for sharing citizen-generated AI monitoring data, proposing decentralized international data trusts, a UN/UNESCO protocol for incident reporting, and functionally financed global...

You can’t evaluate what you can’t inspect. You can’t defend a decision you can’t explain. You can’t correct a failure you can’t see. And an answer you can’t trace is an answer you can’t trust. The post How can we trust AI in national defense missions? appeared first on DefenseScoop .

As the effects of climate change become increasingly apparent, the demand for renewable energy sources such as wind power continues to grow. However, renewables' variable and intermittent nature presents significant challenges in their integration into energy grids. Artificial intelligence (AI) has…

Federated Learning (FL) enables collaborative model training without exchanging raw data, but conventional FL provides limited runtime governance, evidence verification, fairness assessment, explainability monitoring, and auditability. This paper proposes Governance-Aware Federated Learning (GAFL),…

Automated detection has become the essential safeguard against realistic synthetic media, but deploying it at scale requires training on sensitive data from multiple organizations, putting privacy and the transparency demanded by forensic review in direct conflict. Federated learning resolves the p…

AI assistants are increasingly embedded in computational notebooks, scientific workflows, software engineering tools, and learning systems, yet human-AI interactions are often treated as transient prompt-response exchanges rather than durable data products, hindering reproducibility, explainability…

AI assistants are increasingly embedded in computational notebooks, scientific workflows, software engineering tools, and learning systems, yet human-AI interactions are often treated as transient prompt-response exchanges rather than durable data products, hindering reproducibility, explainability…

As the effects of climate change become increasingly apparent, the demand for renewable energy sources such as wind power continues to grow. However, renewables' variable and intermittent nature presents significant challenges in their integration into energy grids. Artificial intelligence (AI) has…

Federated Learning (FL) enables collaborative model training without exchanging raw data, but conventional FL provides limited runtime governance, evidence verification, fairness assessment, explainability monitoring, and auditability. This paper proposes Governance-Aware Federated Learning (GAFL),…

A multimodal vision language foundation model, EVLF-FM, integrates extensive clinical data and advanced training techniques, achieving superior diagnostic accuracy and explainability across diverse imaging modalities, enhancing clinical decision-making through robust reasoning and interpretability.

AI assistants are increasingly embedded in computational notebooks, scientific workflows, software engineering tools, and learning systems, yet human-AI interactions are often treated as transient prompt-response exchanges rather than durable data products, hindering reproducibility, explainability…

Not all AI AML tools are equal. Learn how detection AI and investigation AI solve different problems, and why explainability determines which one survives FCA scrutiny.