| |
|
| |
| DETAILS |
|
FactSheets for AI services are like nutrition labels for food. Concerns about safety, transparency, & bias in AI are widespread. Part of the problem is a lack of standard practices to document how an AI service was created, tested, deployed & evaluated; how it should operate; & how it should (and should not) be used. The AI FactSheets concept provides a framework to document machine learning models & AI services.
Register on Crowdcast
https://www.crowdcast.io/e/factsheets-for-ai
Learn how to document models using FactSheets, taking two models as examples. By the end of the session system architects, application developers as well as data scientists will gain an understanding for how to describe, compare, assess & select models for a particular use case or application.
What you will learn
In this hands-on workshop developers will learn:
* What are factsheets?
* Why it is important?
* Methodology for creating factsheets
* AI Lifecycle Governance
* Resources to know more about the factsheet
Who should attend
Developers, Data Scientist or anyone who is interested in learning about factsheet & AI Governance
Speaker
Saishruthi Swaminathan, Data Scientist & Developer Advocate, IBM
Host
Upkar Lidder, Data Scientist & Developer Advocate, IBM
Register on Crowdcast
https://www.crowdcast.io/e/factsheets-for-ai
|
|
|
|
|
|
|
|
