Applying the Adversarial Robustness Toolbox to AI projects - intro

Applying the Adversarial Robustness Toolbox to AI projects - intro

Channel:
United States IBM Developer
Subscribers:
73,500
Published on ● Video Link: https://www.youtube.com/watch?v=4oUGUC4hIhI


Duration: 25:06
1,010 views
10

Applying the Adversarial Robustness Toolbox to AI projects -
- Beat Buesser

A quick overview of bias in artificial intelligence (AI) covering the topics of reproducibility, robustness, equitability, privacy, explainability, accountability, transparency, and security and how you can meet the developers behind the Adversarial Robustness Toolkit (ART).

Build smart. Build secure. Join a global community of developers at http://ibm.biz/IBMdeveloperYT



Other Videos By IBM Developer


2021-09-03Emerging Technology and Open Source Software | Parul Singh
2021-08-26Hybrid Cloud Authentication Lab: Adding LinkedIn Auth to Red Hat OpenShift Clusters
2021-08-25Linux for Health, Project Alvearie & Watson Health | CTO Ted Tanner and VP of Dev Adam Orentlicher
2021-08-24IBM Cloud Code Engine: go cloud native quickly - the true benefits of Code Engine
2021-08-24IBM Cloud Code Engine: go cloud native quickly - running an application from source code
2021-08-24IBM Cloud Code Engine: go cloud native quickly - the Code Engine conceptual architecture
2021-08-24IBM Cloud Code Engine: go cloud native quickly - Hello World application demo
2021-08-24Build a microservices-based backend with IBM Cloud Satellite - Q&A
2021-08-24Applying the Adversarial Robustness Toolbox to AI projects - more complete example walkthrough
2021-08-24Applying the Adversarial Robustness Toolbox to AI projects - example of use of ART components
2021-08-24Applying the Adversarial Robustness Toolbox to AI projects - intro
2021-08-20James Snell | Node and Open Source Community Updates
2021-08-19Build Smart on Kubernetes - Get Your Badge!
2021-08-19Hybrid Cloud Authentication Lab: Adding Google Auth to Red Hat OpenShift Clusters
2021-08-18Containers and Kubernetes Essentials Workshop
2021-08-18Better Together: A demo for Cloudera Data Platform for IBM Cloud Pak for Data
2021-08-17Application Modernization Step-by-Step
2021-08-17Quantum workflows on OpenShift - demonstration of program integration with Qiskit and quantum
2021-08-17Quantum workflows on OpenShift - introduction to using OpenShift and Qiskit
2021-08-16ISAC-SIMO, a Call for Code Open Source Project
2021-08-16Use Tekton and OpenShift operators to automate application deployment


Tags:
Software Development
Application Development
Artificial Intelligence
Machine Learning
Cloud Computing
Data Analytics
Technology
programming
coding
programming languages
learn coding
learn to code
mobile application
IBM
IBM Developer
IBM Code
open source
open technology