Media Summary: Upol Ehsan - On Design and Evaluation of Human-Centered Explainable AI Systems In episode 18 of The Gradient Podcast, we talk to What if I told you that you can increase the explainability of an AI system without touching a line of code in the model?

Upol Ehsan On Design And - Detailed Analysis & Overview

Upol Ehsan - On Design and Evaluation of Human-Centered Explainable AI Systems In episode 18 of The Gradient Podcast, we talk to What if I told you that you can increase the explainability of an AI system without touching a line of code in the model? December 6, 2024 Michael Madaio, Google Research To address the potential harms of AI systems, prior work has developed ... ... El-Assady Paper : LEx: A Framework for Operationalising Layers of AI Explanations Ronal Singh, When an algorithm causes harm, is discontinuing it enough to address its harms? This paper introduces the concept of the **The ...

Want to learn how Google develops human-centered AI products—and how to avoid common AI- In this video I will draw upon the work of Dr David Leslie to explore the ethics of systems Expanding Explainability: Towards Social Transparency in AI systems Faez Ahmed Associate Professor, MIT Department of Mechanical Engineering Generative AI is reshaping many industries by ...

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Upol Ehsan - On Design and Evaluation of Human-Centered Explainable AI Systems
HCXAI Workshop and Organizer Introduction
Upol Ehsan on Human-Centered Explainable AI and Social Transparency
Expanding Explainability: Towards Social Transparency in AI systems
Stanford Seminar - Responsible AI (h)as a Learning and Design Problem
HCXAI Session #3: Frameworks
The Algorithmic Imprint | Upol Ehsan, Ranjit Singh, Jacob Metcalf, Mark Riedl @ FAccT 2022
Designing Human-Centered AI Products  (Google I/O'19)
Rationale Generation- creation and evaluation of Explainable AI agents that think out loud
Ethical AI Systems Design
Expanding Explainability: Towards Social Transparency in AI systems
NextGen AI for Engineering Design | Faez Ahmed
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Upol Ehsan - On Design and Evaluation of Human-Centered Explainable AI Systems

Upol Ehsan - On Design and Evaluation of Human-Centered Explainable AI Systems

Upol Ehsan - On Design and Evaluation of Human-Centered Explainable AI Systems

HCXAI Workshop and Organizer Introduction

HCXAI Workshop and Organizer Introduction

Introduction: the origin story

Upol Ehsan on Human-Centered Explainable AI and Social Transparency

Upol Ehsan on Human-Centered Explainable AI and Social Transparency

In episode 18 of The Gradient Podcast, we talk to

Expanding Explainability: Towards Social Transparency in AI systems

Expanding Explainability: Towards Social Transparency in AI systems

What if I told you that you can increase the explainability of an AI system without touching a line of code in the model?

Stanford Seminar - Responsible AI (h)as a Learning and Design Problem

Stanford Seminar - Responsible AI (h)as a Learning and Design Problem

December 6, 2024 Michael Madaio, Google Research To address the potential harms of AI systems, prior work has developed ...

HCXAI Session #3: Frameworks

HCXAI Session #3: Frameworks

... El-Assady Paper #2: LEx: A Framework for Operationalising Layers of AI Explanations Ronal Singh,

The Algorithmic Imprint | Upol Ehsan, Ranjit Singh, Jacob Metcalf, Mark Riedl @ FAccT 2022

The Algorithmic Imprint | Upol Ehsan, Ranjit Singh, Jacob Metcalf, Mark Riedl @ FAccT 2022

When an algorithm causes harm, is discontinuing it enough to address its harms? This paper introduces the concept of the **The ...

Designing Human-Centered AI Products  (Google I/O'19)

Designing Human-Centered AI Products (Google I/O'19)

Want to learn how Google develops human-centered AI products—and how to avoid common AI-

Rationale Generation- creation and evaluation of Explainable AI agents that think out loud

Rationale Generation- creation and evaluation of Explainable AI agents that think out loud

Paper link: ...

Ethical AI Systems Design

Ethical AI Systems Design

In this video I will draw upon the work of Dr David Leslie to explore the ethics of systems

Expanding Explainability: Towards Social Transparency in AI systems

Expanding Explainability: Towards Social Transparency in AI systems

Expanding Explainability: Towards Social Transparency in AI systems

NextGen AI for Engineering Design | Faez Ahmed

NextGen AI for Engineering Design | Faez Ahmed

Faez Ahmed Associate Professor, MIT Department of Mechanical Engineering Generative AI is reshaping many industries by ...

🎯 Outsider's Guide to AI Risk Management Frameworks: NIST Generative AI | irResponsible AI EP5S01

🎯 Outsider's Guide to AI Risk Management Frameworks: NIST Generative AI | irResponsible AI EP5S01

Upol Ehsan