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#Explainable AI

Showing: 149 courses
Stanford University

Explaining Model Decisions and Fixing Them Through Human Feedback

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Explore algorithms for explaining deep network decisions, building user trust, incorporating domain knowledge, learning grounded representations, and correcting unwanted biases in AI models.
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21 Lesons
58 minutes
On-Demand
Free-Video
Stanford University

How Can You Trust Machine Learning?

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Explore a framework for trustworthy AI based on Clarity, Competence, and Alignment. Learn about explainable ML, rigorous model evaluation, and aligning AI behaviors with human values.
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1 Lesons
52 minutes
On-Demand
Free-Video
Massachusetts Institute of Technology

Jacob Andreas - Natural Language Explanations of Deep Networks

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Explore strategies for generating natural language explanations of deep networks, covering medical diagnosis, multiagent communication, and neuron descriptions in AI systems.
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17 Lesons
1 hour 13 minutes
On-Demand
Free-Video
University of Central Florida

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

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Explore techniques for interpreting and explaining deep learning models, focusing on LRP rules, Taylor decomposition, and properties of effective explanations in AI systems.
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14 Lesons
32 minutes
On-Demand
Free-Video
University of Central Florida

How Can I Explain This to You? An Empirical Study of Deep Neural Net Explanation Methods - Spring 2021

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Empirical study comparing deep neural network explanation methods, examining usability, stability, and privacy risks across various visual explanation frameworks.
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25 Lesons
37 minutes
On-Demand
Free-Video
University of Central Florida

Textual Explanation for Self-Driving Vehicles

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Explore self-driving vehicle technology through an explainable driving model, focusing on network architecture, preprocessing, and evaluation of vehicle control and explanation generation.
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18 Lesons
28 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Production Machine Learning Monitoring: Outliers, Drift, Explainers and Statistical Performance

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Dive deep into advanced ML model monitoring techniques, including outlier detection, concept drift, explainability, and performance metrics for robust production deployments.
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1 Lesons
32 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Build High Performance MLOps With ML Monitoring and AI Explainability

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Discover techniques for enhancing MLOps through ML monitoring and AI explainability. Learn to identify model failures, address operational issues, and streamline model deployment using advanced analytics.
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1 Lesons
42 minutes
On-Demand
Free-Video
Broad Institute

Time Series Machine Learning for Deployment in Healthcare

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Explore time series machine learning applications in healthcare, focusing on ICU data analysis, explainability tools, and real-time evaluation for improved patient outcomes.
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27 Lesons
59 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Quality Assurance in Machine Learning: Enhancing Trust and Reliability

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Explore quality assurance in machine learning, its importance, and strategies for enhancing AI trustworthiness through lessons from other disciplines and best practices in MLOps and data science.
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1 Lesons
28 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Build High Performance MLOps With ML Monitoring and AI Explainability

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Discover techniques for enhancing MLOps through ML monitoring and AI explainability. Learn to identify model failures, address operational issues, and streamline model deployment using advanced analytics.
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1 Lesons
36 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Deploying and Managing Machine Learning Models at Scale - A Hands-On Workshop

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Deploy and manage ML models at scale. Hands-on workshop covers creation, deployment, monitoring, and management using real-life scenarios. Gain practical experience with Seldon Deploy, explainers, and outlier detection.
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1 Lesons
48 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Explainability for Transparent Conversational Information-Seeking

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Explore transparent conversational information-seeking through explainability techniques, enhancing user trust and understanding in AI-driven search and recommendation systems.
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1 Lesons
14 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Sequential Recommendation with Collaborative Explanation via Mutual Information Maximization - Lecture 1

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Explore sequential recommendation with collaborative explanation, maximizing mutual information for enhanced explainability in search and recommendation systems.
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1 Lesons
19 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Interpretability for Deep Learning: Theory, Applications and Scientific Insights

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Dive into deep learning interpretability, exploring methods to enhance transparency, safety, and trustworthiness in AI deployment while uncovering scientific insights in various domains.
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1 Lesons
56 minutes
On-Demand
Free-Video
Schmid College, Chapman University

Making AI Systems Trustworthy Through Intuitive Design and Human Interaction

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Explore key technical approaches for building trustworthy AI systems, focusing on intuitiveness, interaction, explainability, and human domain knowledge integration for more reliable and transparent artificial intelligence.
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1 Lesons
1 hour 53 minutes
On-Demand
Free-Video
TEDx

科技：如何面對快速進步的科技？ChatGPT教我的事

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探討如何應對快速變化的科技時代，分享AI研究經驗和實際應用案例。強調成為科技的主人，並介紹創新打擊假新聞的方法。
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1 Lesons
14 minutes
On-Demand
Free-Video
TEDx

Czego nie widać w technologii? - Zaufanie, ostrożność i przełomy technologiczne

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Wykład o zaufaniu, ostrożności i przełomach w technologii. Mateusz Chrobok dzieli się spostrzeżeniami na temat bezpieczeństwa, sztucznej inteligencji i jej wpływu na nasze życie.
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1 Lesons
19 minutes
On-Demand
Free-Video
ANITI Toulouse

Explaining Classifiers Under Constraints

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Découvrez les méthodes pour expliquer les classificateurs sous contraintes, présentées par des experts en intelligence artificielle.
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1 Lesons
25 minutes
On-Demand
Free-Video
ANITI Toulouse

FOCUS TECHNIQUE: ANITI Gems AI - Library for Machine Learning Model Explainability

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Découvrez ANITI Gems ai, une librairie innovante pour expliquer les modèles de Machine Learning. Apprenez à interpréter et comprendre les décisions des algorithmes d'IA.
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1 Lesons
56 minutes
On-Demand
Free-Video
Paul G. Allen School

Robotics Seminar - Bradley Hayes - University of Colorado Boulder

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Explainable AI techniques for human-robot collaboration, focusing on shared expectations, interpretable models, and safe task planning to create trustworthy autonomous teammates in various domains.
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39 Lesons
58 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Modeling Hierarchies of Sound for Audio Source Separation and Generation - 2024 JSALT

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Explore hierarchical sound modeling for audio source separation and generation. Learn about extracting components, controlling models, detecting data memorization, and building interpretable controls.
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1 Lesons
1 hour 25 minutes
On-Demand
Free-Video
1littlecoder

SHAP and Shapley Values for Interpretable Machine Learning - Kaggle 30 Days of ML Day 18

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Explore SHAP and Shapley Values for interpretable machine learning. Learn local interpretation techniques, Python implementation, and visualization methods for explainable AI.
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1 Lesons
21 minutes
On-Demand
Free-Video
1littlecoder

Interpretable Machine Learning Use-Cases - Kaggle 30 Days of ML Day 15

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Explore machine learning explainability, interpretability, and use cases for model insights. Learn about feature importance, debugging, and building trust in AI systems.
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11 Lesons
29 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Enhancing Machine Learning Applications with Wisdom of the Crowd

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Explore ensemble techniques to boost ML model performance, explainability, and usability for complex problems by leveraging multiple specialized models.
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1 Lesons
28 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Simplifying Machine Learning Lifecycle Management in Healthcare

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Explore end-to-end ML lifecycle in healthcare using Azure services. Learn data ingestion, model creation, deployment, and visualization for real-time patient predictions and batch scoring.
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1 Lesons
2 hours 12 minutes
On-Demand
Free-Video
Open Data Science

Beyond Interpretability: An Interdisciplinary Approach to Communicate Machine Learning Outcomes

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Explore an interdisciplinary approach to Explainable AI, moving beyond technical interpretations to enhance AI interpretability through socio-technical perspectives and academic-industry collaboration.
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5 Lesons
28 minutes
On-Demand
Free-Video
Paul G. Allen School

Interpretable Machine Learning Approaches for Multi-Year Climate Variability

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Explore interpretable machine learning techniques for identifying and understanding predictable multi-year climate variability, focusing on neural networks and explainable AI in climate science research.
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1 Lesons
52 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Detection of Mesoscale Oceanic Eddies Over Bay of Bengal Using Explainable Deep Learning

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Explore deep learning techniques for detecting mesoscale oceanic eddies in the Bay of Bengal, with a focus on explainable AI methods to enhance understanding of eddy dynamics and their impact on regional climate.
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1 Lesons
29 minutes
On-Demand
Free-Video
Alan Turing Institute

Ethics and Explainability in Climate AI - From Theory to Practice

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Explore ethical considerations and explainability challenges in applying AI to climate science, featuring insights from leading experts in a thought-provoking panel discussion.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Explainable AI for Climate Science - Opening the Black Box to Reveal Planet Earth

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Discover how explainable AI techniques can revolutionize climate science research, from weather prediction to understanding human impacts on Earth's systems through advanced machine learning applications.
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1 Lesons
59 minutes
On-Demand
Free-Video
Data Science Conference

The Synthetic Data Advantage - Getting Both AI Privacy and Explainability

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Discover how synthetic data revolutionizes AI development by enabling privacy-preserving machine learning, streamlined data access, and enhanced explainability while exploring practical implementation techniques.
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1 Lesons
1 hour
On-Demand
Free-Video
UofU Data Science

Application-Grounded Evaluations of Explanations in AI Systems

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Explore evaluation methods for AI explanations, focusing on simulatability, reliance metrics, and team performance in practical applications for enhanced decision-making.
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7 Lesons
1 hour 19 minutes
On-Demand
Free-Video
UofU Data Science

Introduction to Machine Learning Model Explanations and Interpretability

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Explore key concepts in data science explanations, from gradient-based highlighting to contrastive editing, covering essential techniques for understanding and interpreting complex models.
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11 Lesons
1 hour 21 minutes
On-Demand
Free-Video
UofU Data Science

Gradient-Based Input Attribution Methods and Their Applications

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Explore gradient-based input attribution methods, from fundamental concepts to practical applications, limitations, and advanced extensions in machine learning model interpretability.
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9 Lesons
58 minutes
On-Demand
Free-Video
UofU Data Science

An Overview of Local Explainability Methods and Their Evaluation in AI

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Explore key methods and evaluation approaches for local explainability in AI, from confidence scores and input attribution to concept-based explanations and practical applications.
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15 Lesons
1 hour 23 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Building Trustworthy AI with Common Sense - Lecture

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Explore building trustworthy AI with common sense for robust decision-making, discovery, and misinformation tackling. Learn about CARE principles and neuro-symbolic architectures for explainable, adaptive AI systems.
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31 Lesons
55 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Pragmatic Interpretability - A Human-AI Cooperation Approach

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Explore pragmatic interpretability in machine learning, focusing on human-AI cooperation, selective explanations, and incorporating human intuition to enhance decision-making and model understanding.
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1 Lesons
53 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Expert-Informed, User-Centric Explanations for Image Classification with Deep Learning

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Explore expert-informed, user-centric explanations for image classification using deep learning. Gain insights into diagnostic feature labeling and its applications in various fields.
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24 Lesons
51 minutes
On-Demand
Free-Video
USC Information Sciences Institute

We Need to Determine Who is Responsible When AI Makes a Mistake

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Explore AI accountability, explainability, and regulation in social media analysis, emphasizing teamwork and ethical considerations for future advancements.
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1 Lesons
20 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Grassroots Responsible AI - Operationalizing AI Ethics

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Operationalize responsible AI using ML observability techniques. Implement model transparency, analyze effects of changes, and use explainability to determine issues. Gain insights from thought leaders on ethical AI approaches.
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1 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Conf42

The Next Frontier - Observability in ML Systems

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Explore the frontier of ML systems observability, covering key components, challenges, and future trends in various domains including LLMs and computer vision.
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21 Lesons
15 minutes
On-Demand
Free-Video
ACM SIGPLAN

Explainable Program Synthesis by Localizing Specifications

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Explore explainable program synthesis through subspecifications, enhancing implementation understanding with logical formulas. Learn algorithms for constructing and verifying subspecifications, their properties, and impact on code comprehension.
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1 Lesons
17 minutes
On-Demand
Free-Video
ACM SIGPLAN

WheaCha: An Explanation Method for Models of Code

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Explore WheaCha, a novel method for explaining code model predictions by separating input programs into 'wheat' and 'chaff', demonstrating its efficiency and usefulness in identifying defective models.
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1 Lesons
17 minutes
On-Demand
Free-Video
ACM SIGPLAN

FOLD-SE: An Efficient Rule-based Machine Learning Algorithm with Scalable Explainability

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Explore FOLD-SE, an efficient rule-based ML algorithm for classification tasks, offering scalable explainability and competitive performance with state-of-the-art methods.
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1 Lesons
37 minutes
On-Demand
Free-Video
TensorFlow

Introduction to Explainable AI

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Explore Explainable AI, interpretable ML methods, and Integrated Gradients in this comprehensive talk. Gain insights into attribution baselines and future research directions.
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5 Lesons
46 minutes
On-Demand
Free-Video
1littlecoder

What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial

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Explore interpretable machine learning with Python, covering LIME and SHAP techniques for explainable AI. Learn why ML explainability matters and how to implement it in your projects.
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8 Lesons
41 minutes
On-Demand
Free-Video
Open Data Science

Explainable AI - Methods, Applications & Recent Developments

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Explore Explainable AI methods, applications, and developments with Dr. Samek. Learn about Layer-wise Relevance Propagation for various data types and neural architectures, and discuss challenges in the field.
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17 Lesons
43 minutes
On-Demand
Free-Video
Bolei Zhou

Human-Centric AI for Computer Vision and Machine Autonomy - ICCV'21 Tutorial

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Explore human-centric AI in computer vision, covering explainable models, interpretable neural networks, and interactive machine learning for improved AI systems and autonomous machines.
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26 Lesons
39 minutes
On-Demand
Free-Video
Bolei Zhou

Modeling Conceptual Understanding in Image Reference Games - CVPR 2020 Tutorial

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Explore image reference games, conceptual understanding modeling, and machine theory of mind in this tutorial on interpretable vision and multi-agent communication.
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18 Lesons
31 minutes
On-Demand
Free-Video
1littlecoder

Partial Dependence Plots in Machine Learning Explainability - Day 17 of Kaggle's 30 Days of ML

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Explore Partial Dependence Plots for interpretable machine learning. Learn to visualize, build, and interpret PDPs, including 2D plots, to enhance model explainability and insights.
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1 Lesons
28 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

AI Explainability 360 - First Half of the Tutorial

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Explore AI Explainability 360 toolkit: understand machine learning models, enhance transparency, and gain insights into AI decision-making processes for more responsible and ethical AI applications.
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1 Lesons
1 hour 32 minutes
On-Demand
Free-Video
Alan Turing Institute

Turing Lecture - Algorithmic Accountability - Professor Ben Shneiderman, University of Maryland

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Exploring algorithmic accountability and human-centered oversight for safer AI systems. Emphasizes comprehensible, predictable, and controllable designs to prevent failures and improve safety in critical services.
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29 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

This AI Recognises Moods in Songs and Explains How It Does It

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Explore a deep learning architecture for recognizing and explaining moods in songs, focusing on mid-level features, datasets, and potential applications in music emotion analysis.
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17 Lesons
38 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Explainable Structured Machine Learning in Similarity, Graph and Transformer Models

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Explores techniques for explaining complex machine learning models, focusing on similarity, graph, and transformer structures. Discusses applications in knowledge evolution, gender bias, and task-solving.
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1 Lesons
53 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Towards Higher-Order and Disentangled Explainable AI

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Explore advanced techniques in Explainable AI, including higher-order explanations and disentangled components, to enhance the interpretability of complex machine learning models.
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1 Lesons
43 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

AI for the Sciences - Recent Developments for XAI - IPAM at UCLA

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Explore recent advancements in Explainable AI for scientific applications, focusing on novel insights and developments presented by Klaus-Robert Müller at IPAM's workshop.
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1 Lesons
47 minutes
On-Demand
Free-Video
Open Data Science

The Missing Link- How AI Can Help Create a Safer Society and Better Businesses

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Explore how AI and NLP can enhance crime-solving, improve business efficiency, and create safer societies by automating information linking and reducing investigative time.
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18 Lesons
37 minutes
On-Demand
Free-Video
Databricks

Automated and Explainable Deep Learning for Clinical Language Understanding

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Explore advanced deep learning techniques for clinical NLP, including automated model training, explainable AI, and scalable architectures to extract critical healthcare insights from unstructured medical notes.
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19 Lesons
35 minutes
On-Demand
Free-Video
tinyML

Avoiding Loss of Quality in Tiny Models - Neuton.ai Partner Session

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Explore compact AI models without sacrificing quality. Learn to assess model quality, understand decision-making logic, evaluate training data, and interpret model outputs for tinyML applications.
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23 Lesons
1 hour 2 minutes
On-Demand
Free-Video
AGU

Explainable AI for the Geosciences

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Explore machine learning interpretation techniques in geoscience, focusing on climate science applications and their potential for scientific discovery and increased trust in AI outputs.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Linux Foundation

Trusted and Responsible AI - Explainability, Adversarial Attacks, Bias, and Fairness

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Explore key aspects of responsible AI: explainability, adversarial challenges, bias mitigation, and fairness. Learn strategies for building trustworthy and ethical AI systems in real-world applications.
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15 Lesons
37 minutes
On-Demand
Free-Video
Linux Foundation

Fostering Trust via Explainable ML Inferences

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Explore the role of explainable ML inferences in building trust between service providers and consumers, with a practical framework for implementation and quantification.
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1 Lesons
41 minutes
On-Demand
Free-Video
Alan Turing Institute

Explainable AI in Healthcare: Oxford-Style Debate - November 2023

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Engaging Oxford-style debate on the necessity of explainable AI in healthcare, featuring expert speakers discussing its role in shaping the future of medical technology.
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1 Lesons
54 minutes
On-Demand
Free-Video
Linux Foundation

The Search for Transparency and Accountability in the Age of AI - RAI and XAI as Essential Tools

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Explore responsible AI and explainable AI as essential tools for building ethical, transparent, and trustworthy systems. Uncover techniques to interpret complex models and foster accountability in AI development.
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1 Lesons
39 minutes
On-Demand
Free-Video
Lennart Svensson

Language and Video-Generative AI in Autonomous Driving - Guest Lecture by Wayve

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Explore Wayve's innovative approach to autonomous driving, featuring language and video-generative AI advancements. Learn about GAIA-1 and LINGO technologies, and their applications in self-driving vehicles.
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6 Lesons
40 minutes
On-Demand
Free-Video
Paul G. Allen School

Integrating AI and Machine Learning in Life Sciences - Allen School Colloquia

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Exploring AI integration in life sciences, covering explainable AI, COVID-19 detection, cancer precision medicine, and biological discovery through advanced machine learning techniques.
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35 Lesons
53 minutes
On-Demand
Free-Video
Linux Foundation

Defending Against Adversarial Model Attacks Using Kubeflow

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Learn to protect AI models from adversarial attacks using Kubeflow. Explore threats, defenses, and practical implementations in this comprehensive presentation by IBM experts.
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15 Lesons
43 minutes
On-Demand
Free-Video
Linux Foundation

Responsible AI in Banking

0 rewiews
Explore ethical AI implementation in banking, covering bias mitigation, explainability, and continuous evaluation for responsible machine learning practices.
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12 Lesons
23 minutes
On-Demand
Free-Video
Open Data Science

Measuring Interpretability in AI - Transforming Black Box Systems into Transparent Tools

0 rewiews
Explore novel metrics for measuring AI interpretability in unsupervised and supervised methods, enhancing transparency in topic models and question-answering systems for broader applications.
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5 Lesons
41 minutes
On-Demand
Free-Video
Alan Turing Institute

Explainable Data-Centric AI

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Explore the next generation of AI systems through Data-Centric AI, focusing on data selection, engineering, and curation for robust, fair, and responsible AI with sustainable performance.
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1 Lesons
31 minutes
On-Demand
Free-Video
Open Data Science

Interactive Explainable AI - Enhancing Trust and Decision-Making

0 rewiews
Explore interactive Explainable AI techniques, human factors in AI decision-making, and practical strategies for enhancing XAI services. Learn to understand and trust AI predictions for effective decision-making.
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7 Lesons
37 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

How Can We Make Trustworthy AI

0 rewiews
Explore strategies for developing reliable and ethical AI systems, focusing on transparency, accountability, and responsible implementation in various domains.
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1 Lesons
49 minutes
On-Demand
Free-Video
Open Data Science

Towards Explainable and Language-Agnostic LLMs

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Innovative approach to creating explainable, language-agnostic LLMs by integrating symbolic representations with empirical power, addressing limitations in true language understanding and AI interpretability.
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7 Lesons
36 minutes
On-Demand
Free-Video
IEEE

SHERPA: Explainable Robust Algorithms for Privacy-Preserved Federated Learning in Future Networks

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Explore robust algorithms for privacy-preserved federated learning in future networks, focusing on explainable and secure data collaboration techniques.
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1 Lesons
15 minutes
On-Demand
Free-Video
Devoxx

Machine Learning and Symbolic Reasoning - Integrating AI Technologies

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Explore the synergy of Machine Learning and Symbolic AI, combining data-driven insights with human-readable rules for transparent, explainable, and powerful AI applications.
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1 Lesons
34 minutes
On-Demand
Free-Video
Alan Turing Institute

Better Images of AI: Improving Visual Representations - Session 5

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Exploring the impact of realistic AI imagery on public perception. Experts discuss improving AI representation, addressing misconceptions, and promoting AI literacy through visual design.
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34 Lesons
58 minutes
On-Demand
Free-Video
Fields Institute

Forerunners of Cancer Hallmarks - Explainable Machine Learning in Early Cancer Diagnosis

0 rewiews
Explore explainable machine learning techniques for early cancer detection, focusing on identifying precursor signs of cancer hallmarks to improve diagnostic accuracy and patient outcomes.
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1 Lesons
22 minutes
On-Demand
Free-Video
Wolfram

XAI: A Model to Explain StyleGANs

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Explore an innovative explanation model for StyleGANs using active shape and appearance models in this computational essay.
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1 Lesons
30 minutes
On-Demand
Free-Video
Valence Labs

Crippen's logP as a Quantitative Molecular Benchmark for Explainable AI Heatmaps

0 rewiews
Explore Crippen's logP as a quantitative benchmark for explainable AI heatmaps in molecular modeling. Learn about atomic attribution methods and their applications in chemical property prediction.
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9 Lesons
54 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Model Distillation for Faithful Explanations of Medical Code Predictions

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Explore knowledge distillation techniques for generating faithful explanations of medical code predictions, enhancing trust in machine learning models for clinical decision-making.
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1 Lesons
12 minutes
On-Demand
Free-Video
Labroots

Leveraging What We Know: Knowledge Discovery and Knowledge Exploitation as Complementary Aspects of Explainable AI

0 rewiews
Explore how Large Language Models and neuropsychiatric knowledge can be leveraged for psychiatric evaluation, diagnosis, and treatment prediction in various mental health conditions.
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1 Lesons
32 minutes
On-Demand
Free-Video
Labroots

Challenges and Opportunities of Artificial Intelligence in Neuroscience

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Explore AI's impact on neuroscience with experts discussing challenges, opportunities, and explainability. Gain insights into the intersection of artificial and natural intelligence.
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1 Lesons
56 minutes
On-Demand
Free-Video
Labroots

Explainable AI with Applications for Brain Imaging and Drug Discovery

0 rewiews
Explore explainable AI techniques for deep neural networks, focusing on saliency backpropagation. Learn applications in biomarker discovery from fMRI data and drug mechanism prediction.
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1 Lesons
36 minutes
On-Demand
Free-Video
WeAreDevelopers

The State of Production Machine Learning in 2024

0 rewiews
Explore challenges and best practices in production machine learning systems, covering deployment, explanation, security, monitoring, and scaling. Gain insights into the ML tooling ecosystem.
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1 Lesons
27 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Reasons, Values, Stakeholders - A Philosophical Framework for Explainable AI

0 rewiews
Explore a philosophical framework for explainable AI, examining the interplay between reasons, values, and stakeholders to enhance transparency and ethical considerations in artificial intelligence systems.
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1 Lesons
21 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Explainable AI in Industry - Practical Challenges and Lessons Learned

0 rewiews
Explore practical challenges and industry insights on implementing explainable AI, featuring expert perspectives from leading tech companies and researchers.
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1 Lesons
1 hour 27 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Impossible Explanations? Beyond Explainable AI in the GDPR from a COVID-19 Use Case Scenario

0 rewiews
Exploring AI explainability challenges in GDPR compliance using COVID-19 scenarios, emphasizing justifiability over technical explanations in legal and ethical contexts.
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6 Lesons
19 minutes
On-Demand
Free-Video
Strange Loop Conference

Explainable AI - The Apex of Human and Machine Learning

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Explore the emerging field of Explainable AI, its importance in high-risk domains, and how it bridges the gap between human cognition and machine learning for more intuitive and understandable AI systems.
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10 Lesons
42 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Designing Theory-Driven User-Centric Explainable AI

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Explore a framework for human-centered, decision-theory-driven explainable AI, bridging algorithm-generated explanations with human decision-making theories in high-stakes applications like healthcare and criminal justice.
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1 Lesons
22 minutes
On-Demand
Free-Video
GOTO Conferences

Explainable AI Explained for Developers

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Discover the importance of Explainable AI for developers, learn practical tools for interpreting machine learning models, and understand its business implications in this insightful presentation.
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11 Lesons
32 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Automated Rationale Generation - A Technique for Explainable AI and Its Effects on Human Perceptions

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Explore automated rationale generation for explainable AI, including data collection, neural network training, and user perception studies. Insights on human preferences for AI explanations.
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1 Lesons
22 minutes
On-Demand
Free-Video
Devoxx

Explainable AI Analysis Visualization - Applications from Brain Computer Interfaces to ChatGPT

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Explore cutting-edge applications of explainable AI, from brain-computer interfaces to ChatGPT, with a focus on analysis and visualization techniques.
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1 Lesons
55 minutes
On-Demand
Free-Video
Devoxx

Explainable AI Analysis & Visualization - Applications from Brain Computer Interfaces to ChatGPT

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Explore explainable AI analysis and visualization techniques, from brain-computer interfaces to ChatGPT, enhancing understanding of AI decision-making processes and applications.
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1 Lesons
50 minutes
On-Demand
Free-Video
PASS Data Community Summit

Visualization Best Practices for Explainable AI

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Explore machine learning visualization techniques for explainable AI across industries, covering model understanding, data analysis, and performance evaluation using Jupyter, Python, and Power BI.
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25 Lesons
58 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Explainable AI with Machine Teaching

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Explore the shift from Machine Learning to Machine Teaching, addressing explainability, data access, and algorithm control. Learn about transformative industry applications and real-world examples.
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10 Lesons
21 minutes
On-Demand
Free-Video
Open Compute Project

Explainable AI to Increase Safe Use of AI - A Case of Manufacturing

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Explore how explainable AI enhances safety and transparency in manufacturing processes, focusing on practical applications and implementation strategies.
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1 Lesons
29 minutes
On-Demand
Free-Video
Data Science Conference

Business Value Through Explainable AI (XAI)

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Discover how explainable AI frameworks enhance business value across supply chain, manufacturing, and finance through practical applications of transparent machine learning techniques.
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1 Lesons
20 minutes
On-Demand
Free-Video
ACM SIGPLAN

PL4XGL: A Programming Language Approach to Explainable Graph Learning

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Explore a novel programming language approach to explainable graph learning, addressing limitations in GNN explainability through a graph description language and interpretable classification model.
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1 Lesons
15 minutes
On-Demand
Free-Video
ANITI Toulouse

Trust and Loyalty of AI-Based Decisions

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Explore the critical aspects of trust and loyalty in AI decision-making processes, examining their implications and challenges.
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1 Lesons
26 minutes
On-Demand
Free-Video