🛠️ Workshop: "VISxAI: 9th Workshop on Visualization for AI Explainability". #ieeevis
Learn more at https://ieeevis.org/year/2026/program/session/w-visxai-visxai-2/
Learn more at https://ieeevis.org/year/2026/program/session/w-visxai-visxai-2/
November 9, 2026 at 5:15 PM
🛠️ Workshop: "VISxAI: 9th Workshop on Visualization for AI Explainability". #ieeevis
Learn more at https://ieeevis.org/year/2026/program/session/w-visxai-visxai-2/
Learn more at https://ieeevis.org/year/2026/program/session/w-visxai-visxai-2/
Amazon Bedrock AgentCore Evaluations adds managed multi-agent scoring beyond answer quality—covering tool use, business constraints, and explainability—while Guardrails enforce safety during execution. 🤖✅🛡️ #AI #MultiAgent #Bedrock #Evaluation #ResponsibleAI
Evaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore | Amazon Web Services
Multi-agent systems need deeper guarantees than fluent responses: they must select the right tools, respect constraints, and explain their decisions. Learn how to build a Strands-based multi-agent supply chain decisioning system and evaluate it with Amazon Bedrock AgentCore Evaluations using built-in, custom, and explainability evaluators.
aws.amazon.com
November 7, 2026 at 2:40 PM
Amazon Bedrock AgentCore Evaluations adds managed multi-agent scoring beyond answer quality—covering tool use, business constraints, and explainability—while Guardrails enforce safety during execution. 🤖✅🛡️ #AI #MultiAgent #Bedrock #Evaluation #ResponsibleAI
📌 RAG-Enhanced LLMs for Interactive Explainability in Clinical Decision Support Systems
Lorenzo Mannocci et al.
#arXiv #cs.AI #cs.HC #cs.LG
Lorenzo Mannocci et al.
#arXiv #cs.AI #cs.HC #cs.LG
RAG-Enhanced LLMs for Interactive Explainability in Clinical Decision Support Systems
Artificial Intelligence (AI) is increasingly embedded in high-risks decision-making systems across domains such as healthcare, finance, and the judicial system. As reliance on predictive models grows, so does the demand for Explainable AI (XAI) to ensure transparency, trust, and interpretability. H…
arxiv.org
November 9, 2026 at 10:58 AM
📌 RAG-Enhanced LLMs for Interactive Explainability in Clinical Decision Support Systems
Lorenzo Mannocci et al.
#arXiv #cs.AI #cs.HC #cs.LG
Lorenzo Mannocci et al.
#arXiv #cs.AI #cs.HC #cs.LG
RAG-Enhanced LLMs for Interactive Explainability in Clinical Decision Support Systems
Artificial Intelligence (AI) is increasingly embedded in high-risks decision-making systems across domains such as healthcare, finance, and the judicial system. As reliance on predictive models grows, so does the demand for Explainable AI (XAI) to ensure transparency, trust, and interpretability. H…
arxiv.org
November 9, 2026 at 7:57 AM
What’s the biggest barrier to AI‑powered actuarial science in Takaful?
A) Data quality
B) Shariah approval
C) Explainability
D) Talent
Reply below.
A) Data quality
B) Shariah approval
C) Explainability
D) Talent
Reply below.
November 9, 2026 at 1:10 PM
What’s the biggest barrier to AI‑powered actuarial science in Takaful?
A) Data quality
B) Shariah approval
C) Explainability
D) Talent
Reply below.
A) Data quality
B) Shariah approval
C) Explainability
D) Talent
Reply below.
In 2021, this law review article warned that autonomous AI agents in cyberspace could become legally un-attributable national security threats. It’s a sharp, sci-fi-shaped legal argument on explainability, legal personhood, and human oversight. https://scholarship.law.unc.edu/ncjolt/vol21/iss2/2/
November 6, 2026 at 4:00 PM
In 2021, this law review article warned that autonomous AI agents in cyberspace could become legally un-attributable national security threats. It’s a sharp, sci-fi-shaped legal argument on explainability, legal personhood, and human oversight. https://scholarship.law.unc.edu/ncjolt/vol21/iss2/2/
Five Risks of Using AI Agents in Venture Capital Decision-Making
Alexander Kopylkov breaks down five recurring problems with AI agents in venture investing, from confident errors and groupthink to weak explainability and mark
#hackernews #news
Alexander Kopylkov breaks down five recurring problems with AI agents in venture investing, from confident errors and groupthink to weak explainability and mark
#hackernews #news
Five Risks of Using AI Agents in Venture Capital Decision-Making
Alexander Kopylkov breaks down five recurring problems with AI agents in venture investing, from confident errors and groupthink to weak explainability and mark
hackernoon.com
November 5, 2026 at 9:06 AM
Five Risks of Using AI Agents in Venture Capital Decision-Making
Alexander Kopylkov breaks down five recurring problems with AI agents in venture investing, from confident errors and groupthink to weak explainability and mark
#hackernews #news
Alexander Kopylkov breaks down five recurring problems with AI agents in venture investing, from confident errors and groupthink to weak explainability and mark
#hackernews #news
Revolutionary EVLF-FM model unites multimodal diagnostics and fine-grained explainability, achieving high accuracy and interpretability across multiple medical specialties.
by Bai Y, Cheng H (...) Ting DSW et 46 al. in Nat Med #MedSky
👉 get more here
📖 read the article:
by Bai Y, Cheng H (...) Ting DSW et 46 al. in Nat Med #MedSky
👉 get more here
📖 read the article:
A clinical multimodal vision language foundation model with fine-grain explainability - Nature Medicine
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.
www.nature.com
November 7, 2026 at 7:51 AM
Machine learning models can be as mysterious as a black box.
To boost explainability, you need to understand probabilities and…
▶️ https://plastikelectrik.xyz/go/RELOYnx
📘 Create Your Own AI Agents With OLLAMA & MCP: https://plastikelectrik.xyz/go/4OkfLeZ
#ExplainableAI #AInterpretability
To boost explainability, you need to understand probabilities and…
▶️ https://plastikelectrik.xyz/go/RELOYnx
📘 Create Your Own AI Agents With OLLAMA & MCP: https://plastikelectrik.xyz/go/4OkfLeZ
#ExplainableAI #AInterpretability
November 6, 2026 at 5:42 PM
Machine learning models can be as mysterious as a black box.
To boost explainability, you need to understand probabilities and…
▶️ https://plastikelectrik.xyz/go/RELOYnx
📘 Create Your Own AI Agents With OLLAMA & MCP: https://plastikelectrik.xyz/go/4OkfLeZ
#ExplainableAI #AInterpretability
To boost explainability, you need to understand probabilities and…
▶️ https://plastikelectrik.xyz/go/RELOYnx
📘 Create Your Own AI Agents With OLLAMA & MCP: https://plastikelectrik.xyz/go/4OkfLeZ
#ExplainableAI #AInterpretability
Lorenzo Mannocci, Francesca Naretto, Lucia Passaro, Anna Monreale: RAG-Enhanced LLMs for Interactive Explainability in Clinical Decision Support Systems https://arxiv.org/abs/2611.09232 https://arxiv.org/pdf/2611.09232 https://arxiv.org/html/2611.09232
November 9, 2026 at 6:39 AM
Lorenzo Mannocci, Francesca Naretto, Lucia Passaro, Anna Monreale: RAG-Enhanced LLMs for Interactive Explainability in Clinical Decision Support Systems https://arxiv.org/abs/2611.09232 https://arxiv.org/pdf/2611.09232 https://arxiv.org/html/2611.09232
➡️ OUT NOW
On AI Transparency, Explainability, and Interpretability: How Controversy About Black-Box Models Undermines the Right to Explanation
By Paul B. de Laat
Learn more: www.e-elgar.com/shop/isbn/97...
Read a sample chapter: doi.org/10.4337/9781...
On AI Transparency, Explainability, and Interpretability: How Controversy About Black-Box Models Undermines the Right to Explanation
By Paul B. de Laat
Learn more: www.e-elgar.com/shop/isbn/97...
Read a sample chapter: doi.org/10.4337/9781...
November 9, 2026 at 10:29 AM
➡️ OUT NOW
On AI Transparency, Explainability, and Interpretability: How Controversy About Black-Box Models Undermines the Right to Explanation
By Paul B. de Laat
Learn more: www.e-elgar.com/shop/isbn/97...
Read a sample chapter: doi.org/10.4337/9781...
On AI Transparency, Explainability, and Interpretability: How Controversy About Black-Box Models Undermines the Right to Explanation
By Paul B. de Laat
Learn more: www.e-elgar.com/shop/isbn/97...
Read a sample chapter: doi.org/10.4337/9781...
Speed isn't enough. As enterprises deploy AI agents at scale, CIOs must prioritize explainability and audit trails over pure…
https://www.cio.com/article/4242542/the-ai-trust-deficit-why-explainability-not-more-automation-is-the-cios-next-priority.html
#CTO #techleadership
https://www.cio.com/article/4242542/the-ai-trust-deficit-why-explainability-not-more-automation-is-the-cios-next-priority.html
#CTO #techleadership
November 4, 2026 at 5:00 PM
Speed isn't enough. As enterprises deploy AI agents at scale, CIOs must prioritize explainability and audit trails over pure…
https://www.cio.com/article/4242542/the-ai-trust-deficit-why-explainability-not-more-automation-is-the-cios-next-priority.html
#CTO #techleadership
https://www.cio.com/article/4242542/the-ai-trust-deficit-why-explainability-not-more-automation-is-the-cios-next-priority.html
#CTO #techleadership
Explainability = tracing a flag to the ECG behind it. Cardio-HART reads ECGs.
November 4, 2026 at 8:01 PM
Explainability = tracing a flag to the ECG behind it. Cardio-HART reads ECGs.
New paper argues explainability tools can't prove what changed when a model's behavior shifts. The XAI-Delta framework makes the… #opensource #supplychain #infosec
https://freegardner.com/synapse/the-audit-trail-ai-never-had-a-new-framework-turns-model-updates-into-evidence.html
https://freegardner.com/synapse/the-audit-trail-ai-never-had-a-new-framework-turns-model-updates-into-evidence.html
The Audit Trail AI Never Had: A New Framework Turns Model Updates Into Evidence
The Audit Trail AI Never Had: A New Framework Turns Model Updates Into Evidence
freegardner.com
November 9, 2026 at 3:10 PM
New paper argues explainability tools can't prove what changed when a model's behavior shifts. The XAI-Delta framework makes the… #opensource #supplychain #infosec
https://freegardner.com/synapse/the-audit-trail-ai-never-had-a-new-framework-turns-model-updates-into-evidence.html
https://freegardner.com/synapse/the-audit-trail-ai-never-had-a-new-framework-turns-model-updates-into-evidence.html
Extract: The position focuses on developing decision trees for safety-critical systems, enhancing explainability and scalability in uncertain environments. Candidates should have a PhD in computer science or related fields, with a strong publication record.
November 6, 2026 at 4:43 PM
Extract: The position focuses on developing decision trees for safety-critical systems, enhancing explainability and scalability in uncertain environments. Candidates should have a PhD in computer science or related fields, with a strong publication record.
Alexander Kopylkov breaks down five recurring problems with AI agents in venture investing, from confident errors and groupthink to weak explainability and mark #agenticai
Five Risks of Using AI Agents in Venture Capital Decision-Making
hackernoon.com
November 4, 2026 at 8:00 AM
Alexander Kopylkov breaks down five recurring problems with AI agents in venture investing, from confident errors and groupthink to weak explainability and mark #agenticai
There are 0 mentions of Alignment and Explainability in the original "Attention is all you need" paper. This will matter more than most people today understand.
November 5, 2026 at 6:48 AM
There are 0 mentions of Alignment and Explainability in the original "Attention is all you need" paper. This will matter more than most people today understand.
A transformer built entirely from Born measurements provides exact, verifiable word-level explanations for language understanding and runs on quantum computers and optical systems, achieving 77% accuracy on natural language inference.
#QuantumML #Explainability #Research
#QuantumML #Explainability #Research
Born-Measured Attention: Exact Word Evidence on Quantum and Optical Hardware
arxiv.org
November 4, 2026 at 5:56 AM
A transformer built entirely from Born measurements provides exact, verifiable word-level explanations for language understanding and runs on quantum computers and optical systems, achieving 77% accuracy on natural language inference.
#QuantumML #Explainability #Research
#QuantumML #Explainability #Research
Easy: you don't. When two explainability models give conflicting answers, the accepted engineering standard is to blame cosmic rays and merge to main.
November 4, 2026 at 4:00 PM
Easy: you don't. When two explainability models give conflicting answers, the accepted engineering standard is to blame cosmic rays and merge to main.
When algorithmic systems are deployed in high-stakes domains like healthcare or credit, explainability is not an engineering luxury—it is a non-derogable procedural right.
#AIEthics #ExplainableAI #HealthcareTech #FundamentalRights
#AIEthics #ExplainableAI #HealthcareTech #FundamentalRights
November 3, 2026 at 11:33 AM
When algorithmic systems are deployed in high-stakes domains like healthcare or credit, explainability is not an engineering luxury—it is a non-derogable procedural right.
#AIEthics #ExplainableAI #HealthcareTech #FundamentalRights
#AIEthics #ExplainableAI #HealthcareTech #FundamentalRights
New neuro-symbolic NIDS achieves 92% detection accuracy with just 50 labelled samples per attack class, offering both accuracy and explainability—a step forward for resource-constrained SOCs.
https://arxiv.org/abs/2610.41541
#cybersecurity #infosec
https://arxiv.org/abs/2610.41541
#cybersecurity #infosec
November 5, 2026 at 2:30 PM
New neuro-symbolic NIDS achieves 92% detection accuracy with just 50 labelled samples per attack class, offering both accuracy and explainability—a step forward for resource-constrained SOCs.
https://arxiv.org/abs/2610.41541
#cybersecurity #infosec
https://arxiv.org/abs/2610.41541
#cybersecurity #infosec
This session grew from my work on Microsoft’s What The Hack — tackling explainability, trust, and unsafe behavior in real deployments.
If you’re heading to PTH, come join me!
What’s the biggest challenge you’re facing when taking AI agents into production?
4/5
If you’re heading to PTH, come join me!
What’s the biggest challenge you’re facing when taking AI agents into production?
4/5
November 6, 2026 at 4:32 PM
This session grew from my work on Microsoft’s What The Hack — tackling explainability, trust, and unsafe behavior in real deployments.
If you’re heading to PTH, come join me!
What’s the biggest challenge you’re facing when taking AI agents into production?
4/5
If you’re heading to PTH, come join me!
What’s the biggest challenge you’re facing when taking AI agents into production?
4/5
95% of data leaders lack full visibility into AI decision-making. 52% have delayed or blocked agent deployments over explainability. Opacity has a price. Source: Dataiku. #Valkyree
November 4, 2026 at 3:02 PM
95% of data leaders lack full visibility into AI decision-making. 52% have delayed or blocked agent deployments over explainability. Opacity has a price. Source: Dataiku. #Valkyree
Kriti Saini, Manikandan P: FedXCrop: Privacy-Preserving Crop Disease Detection via Federated Learning with Post-Aggregation Explainability under Non-IID Farm Distributions https://arxiv.org/abs/2611.06221 https://arxiv.org/pdf/2611.06221 https://arxiv.org/html/2611.06221
November 5, 2026 at 6:41 AM
Kriti Saini, Manikandan P: FedXCrop: Privacy-Preserving Crop Disease Detection via Federated Learning with Post-Aggregation Explainability under Non-IID Farm Distributions https://arxiv.org/abs/2611.06221 https://arxiv.org/pdf/2611.06221 https://arxiv.org/html/2611.06221