July 30, 2021
10:00 AM EDT - 1:00 PM EDT
Instructors: Rebecca Dikow, William Mattingly, Mike Trizna
Helpers: Amanda Devine
Artificial Intelligence (or AI) has already become prevalent in our daily lives – from recommendation engines that suggest the next movie to stream, to predictive text that can finish your sentence in emails or text messages. A lot of the technology behind some of these applications are available as open source products, and can be modified to perform research-based or administrative tasks that are specific to the unique types of work that Smithsonian employees do.
However, in order to make sure that AI is adopted ethically, responsibly, and effectively, we want to give you the literacy you will need to critically evaluate AI technologies.
After attending, learners will be able to:
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: 10:00 AM EDT - 1:00 PM EDT, July 30, 2021 Add to your calendar
Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email firstname.lastname@example.org for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Who can attend?: This workshop is open to any Smithsonian staff member, intern or fellow at any Smithsonian Unit.
If the registration form does not appear below, please go directly to our Microsoft Form registration page.
Even though this is technically not a Carpentries workshop, we will be following the Carpentries Code of Conduct. Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
Please be sure to complete these surveys before and after the workshop.
|10:00 - 10:10||Workshop Introduction||🔗|
|10:10 - 10:55||Introduction to AI and Machine Learning for GLAM||🔗|
|10:55 - 11:05||Break|
|11:05 - 11:50||What is Machine Learning good at?||🔗|
|11:50 - 12:00||Break|
|12:00 - 12:45||Understanding and managing bias in the data science lifecycle||🔗|
|12:45 - 13:00||Workshop wrap-up, discussion, and next steps||🔗|