Unite.AI

OCTOBER 20, 2023

Promote AI transparency and explainability: AI transparency means it is easy to understand how AI models work and make decisions. Explainability means these decisions can be easily communicated to others in non-technical terms.

Responsible AI 283

Responsible AI Generative AI AI AI 283

Pickl AI

SEPTEMBER 3, 2024

Explainable AI As ANNs are increasingly used in critical applications, such as healthcare and finance, the need for transparency and interpretability has become paramount. Continuous Learning Given the rapid pace of advancements in the field, a commitment to continuous learning is essential.

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Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Unite.AI

JULY 1, 2024

Additionally, the dynamic nature of AI models poses another challenge, as these models continuously learn and evolve, leading to outputs that can change over time. Transparency and Explainability Enhancing transparency and explainability is essential. This necessitates ongoing scrutiny to ensure consistent audits.

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Explainability BERT AI AI 182

Heartbeat

NOVEMBER 27, 2023

Future Directions and Emerging Technologies in Deep Learning for Medical Image Analysis As deep learning continues to evolve, several exciting future directions and emerging technologies hold immense promise for advancing medical image analysis.

Deep Learning 59

Deep Learning Convolutional Neural Networks Neural Network Explainability 59

How to Learn Machine Learning

JUNE 9, 2024

It enables machines to recognize patterns in training data and learn without human assistance. What makes them fantastic is their ability to learn from their past interactions. This continuous learning enables the ML systems to improve their outcomes and make better predictions on new data over time.

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DataRobot Blog

NOVEMBER 17, 2022

Standardized processes make tracking model updates, maintaining model accuracy through continual learning, and enforcing approval workflows possible. Workflow approval, monitoring, continuous learning, and version control are all part of a good system. Make sure you think about explainable AI and workflow standardization.

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Continuous Learning Explainability Explainable AI Machine Learning 52

Viso.ai

APRIL 25, 2024

Deep learning models are black-box methods by nature, and even though those models succeeded the most in CV tasks, explainability is still poorly assessed. Explainable AI improves the transparency of those models making them more trustworthy. Do the data agree with harmful stereotypes?

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