Research
 

Explainability

All Work

3 Questions: To catch financial crimes and bad actors
3 Questions: To catch financial crimes and bad actors
MIT-IBM Watson AI Lab
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3 Questions: To catch financial crimes and bad actors
3 Questions: To catch financial crimes and bad actors
AI in FinanceGraph Deep Learning
 
MIT researchers advance automated interpretability in AI models
MIT researchers advance automated interpretability in AI models
MIT News
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How to assess a general-purpose AI model’s reliability before it’s deployed
How to assess a general-purpose AI model’s reliability before it’s deployed
MIT News
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Reasoning skills of large language models are often overestimated
Reasoning skills of large language models are often overestimated
MIT News
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AI agents help explain other AI systems
AI agents help explain other AI systems
MIT News
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Automated system teaches users when to collaborate with an AI assistant
Automated system teaches users when to collaborate with an AI assistant
MIT News
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New tool helps people choose the right method for evaluating AI models
New tool helps people choose the right method for evaluating AI models
MIT News
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Creating space for the evolution of generative and trustworthy AI
Creating space for the evolution of generative and trustworthy AI
MIT-IBM Watson AI Lab
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Explained: How to tell if artificial intelligence is working the way we want it to
Explained: How to tell if artificial intelligence is working the way we want it to
MIT News
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Does this artificial intelligence think like a human?
Does this artificial intelligence think like a human?
MIT News
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The man who challenges AI every day
The man who challenges AI every day
IBM Research
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The path to real-world artificial intelligence
The path to real-world artificial intelligence
TechRepublic
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Artificial intelligence is struggling to cope with how the world has changed
Artificial intelligence is struggling to cope with how the world has changed
ZDNet
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CLEVRER: The first video dataset for neuro-symbolic reasoning
CLEVRER: The first video dataset for neuro-symbolic reasoning
Neuro-Symbolic AIComputer Vision
 
Class-wise rationalization: teaching AI to weigh pros and cons
Class-wise rationalization: teaching AI to weigh pros and cons
Natural Language ProcessingDeep Rationalization
 
New tricks from old dogs: multi-source transfer learning
New tricks from old dogs: multi-source transfer learning
Transfer LearningExplainability
 
SimVAE: Simulator-Assisted Training for Interpretable Generative Models
SimVAE: Simulator-Assisted Training for Interpretable Generative Models
Generative ModelsExplainability
 
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
Generative ModelsExplainability
 
Deriving Machine Attention from Human Rationales
Deriving Machine Attention from Human Rationales
EMNLPNatural Language Processing
 
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
RobustnessExplainability