Top Tweets for #ExplainableAI
Beyond Proxy Metrics: MLLMs as Human Surrogates for Explainable AI Evaluation #ExplainableAI #XAI #MLLM #AIResearch #MachineLearning #HumanAI #NeurIPS2026 #JPMorganAI #AIEvaluation #HumanSurrogates #BeyondProxyMetrics
What if users could see why an AI agent retried a task?
A context inspector could reveal inputs, removals, and retries.
Would this improve trust?
Source: https://t.co/WDdQsWsx5S
#UXDesign #AIAgents #ExplainableAI

【論文出版&カバー選出!】AIはXANESスペクトルのどこを見ているのか?|kotsugilab @kotsugilab https://t.co/2oe7uLnXIV #DigitalDiscovery #XANES #MachineLearning #ExplainableAI #XAI #Graphene #Spectroscopy #AIforScience #MaterialsInformatics
2/
Problem: black-box models give a score and no reasons.
✅ Solution: SHAP breaks every prediction into per-feature contributions that add up exactly.
Avg score 0.05, amount +0.30, 3 AM +0.15, merchant age -0.02 = 0.48.
#ExplainableAI
We'll tell you more next Thursday at @ACMMM24 2026 conference. Stop by our poster!
📍 Rio de Janeiro, Brazil · Poster Tm · Nov 12 · 10:30–12:30
🔗 https://t.co/9u9gZ2tUTw
#MedicalDeepfake #Deepfakes #DeepfakesDetection #ExplainableAI #MedicalImaging
You know what Quanti can do. Now see how it thinks. 🧠
Swipe for a look under the hood: Our system architecture & the strict rules we play by.
Transparency isn't a feature; it's our foundation.
🔗 https://t.co/eRyswqT0uA
#ExplainableAI #FinTech

💻 From dataset balance to AI Ethics, Fujitsu Technology Solutions supports #RAIDO’s work towards more explainable, transparent & trustworthy #AI.
���️ Discover the partner and its contribution: https://t.co/WlYceL1wpn
#ExplainableAI #TrustworthyAI #HorizonEurope #AIEthics
🔬 #Research, demonstrations and discussions!
The #RAIDO Final Industry Showcase will highlight the project's platform, tools and practical applications as it approaches completion.
📍 UCL, London | 16 November
🌐 Find out more: https://t.co/ADoa5aRh3W
#ExplainableAI
⚙️ How can complex #AI decisions become easier to understand?
The #RAIDO #XAI Engine uses SHAP, LIME and RISE to provide insights into model predictions across tabular and image datasets.
💻 https://t.co/DrP8i0VKnO
#blogpost #ExplainableAI #AIEthics #MachineLearning
🤖Interesting Work
📚SAEF: An Adaptive and Explainable Feedback System for Personalized Learning
💡by Oubagine et al
#PersonalizedLearning #AdaptiveLearning #Education #LearningAnalytics #ExplainableAI #EducationalTechnology #IntelligentTutoring
🎯https://t.co/ZAeVDtH8s5

Artificial intelligence does not think.
https://t.co/1AWThLlFTw
#LLMs #ArtificialIntelligence #AIReasoning #MachineIntelligence #ExplainableAI #PhilosophyOfAI
What did the AI observe? What did it predict? Where is it uncertain? World-model interfaces should make these three states visible before users act.
https://t.co/l8ATJeZzCK
#LAUXMeetup #ExplainableAI #UXDesign

Beyond the Numbers. Understand the Why.
CogAlpha is being developed with a focus on data sources, clear reasoning, and model limitations.
An answer is a starting point. Understanding its basis matters.
#CogAlpha #ExplainableAI

A handful of questions distinguishes institutions that actually have power from those with only an official policy statement.
Read More:- https://t.co/m5yILiKOac
#ExplainableAI #CreditRisk #RiskManagement #FinTech #AIinFinance #Leadership

👑 #Publications2026 #EditorsChoice #ExplainableAI #CreditRisk - 6 November
✔️ Application of Explainable AI and Uncertainty Quantification in Credit Risk Assessment
👉 https://t.co/9LyYnS80pH
#UncertaintyQuantification #SHAP
#MachineLearning #LoanDefaults #FinancialRisk
WSDM 2027[1/4]|This work establishes when multiple behavioral and textual proxies can support reliable explanations of user preferences, and when the available evidence calls for abstention.
https://t.co/NZVXZkOjQN
#ExplainableAI #UserPreferences #RobustAttribution #WSDM
![Alibaba_AMAP's tweet photo. WSDM 2027[1/4]|This work establishes when multiple behavioral and textual proxies can support reliable explanations of user preferences, and when the available evidence calls for abstention.
https://t.co/NZVXZkOjQN
#ExplainableAI #UserPreferences #RobustAttribution #WSDM https://t.co/fk1dLmOS79](https://pbs.twimg.com/media/HWaJDOQaIAAFciK.jpg)
When a regulator asks why your AI model decided what it did, can you answer? IDL (Inference Data Layer) is the evidence layer that connects your MLOps stack, built to be audited, not retrofitted.
Explore IDL: https://t.co/8X8AqmIF0L
#AIGovernance #MLOps #ExplainableAI #ModelRiskManagement #AICompliance #MachineLearning
🔬 #HighlyCited in Electronics!
⚡ Explainable Deep Learning for Bearing Fault Diagnosis: Architectural Superiority of ResNet-1D Validated by SHAP
🔗 Read at: https://t.co/uCGZLKB0Y3
#BearingFaultDiagnosis #DeepLearning #ExplainableAI #ResNet1D #SHAP #PredictiveMaintenance

📢 Call For Papers
📈 Time Series Mining and Interpretability
🔗 https://t.co/aQDNiGCnLT
📅 Deadline: 30 July 2027
Topics: pattern discovery, forecasting, anomaly detection, explainable AI, temporal attribution, causal analysis
#TimeSeries #ExplainableAI #DataMining

KAEL AI��CPayant and Seekr Bring Explainable AI to Trade Finance
AI credit scores need explanations, not just outputs. CPayant and Seekr are bringing traceable analysis into trade finance, while lenders retain final approval.
#ExplainableAI #TradeFinance
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