Data Conference Databasea Query.Farm index
Speakers

Diya Wynn

Employers on the program

  1. 2021–2022Amazon Web Services3 talks
Events2
Conferences1
Talks3
Years active2021–2022

Appearances by year

201920202021202220232024202520262027
  • AWS re:Invent

Talks

DateEventConferenceRoleTitleLinks
Nov 28, 2022AWS re:Invent 2022AWS re:InventbreakoutBuilding more inclusive, responsible AI
as Amazon Web Services
Artificial intelligence (AI) and machine learning help society tackle some of its most challenging problems and help businesses improve customer experiences and…Show less

Artificial intelligence (AI) and machine learning help society tackle some of its most challenging problems and help businesses improve customer experiences and spur innovation. With the growing use and scale of AI comes the recognition that we must all use it responsibly, respecting human rights, human dignity, and fundamental values such as equity, privacy, and fairness.

SlidesVideo
Nov 28, 2022AWS re:Invent 2022AWS re:Inventleadership sessionThe power of responsibility in AI/ML
as AWS
As the world increasingly relies on artificial intelligence (AI) to inform decision-making, how can you advocate for your customers and maintain responsibility…Show less

As the world increasingly relies on artificial intelligence (AI) to inform decision-making, how can you advocate for your customers and maintain responsibility for your technology? Join this session with Aileen Smith, Head of Content Strategy, Diversity Marketing at AWS, and Diya Wynn, Senior Practice Manager, AI/ML Ethics at AWS, to explore a strategy for the practice of responsible AI.

SlidesVideo
Nov 29, 2021AWS re:Invent 2021AWS re:InventbreakoutBuilding better products for people of all identities
as AWS
Join this session for a deep dive into inclusion in machine learning with a panel of AWS experts discussing the topic of responsible and inclusive machine…Show less

Join this session for a deep dive into inclusion in machine learning with a panel of AWS experts discussing the topic of responsible and inclusive machine learning. Learn to think and build responsibly and inclusively in AI/ML and how to mitigate bias in technology.

SlidesVideo

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Dr. Nashlie Sephus212022
Peter Hallinan212022
Aaron Edell2—2022
Aaron Sengstacken2—2022
Aarthi Raju2—2022
Aashmeet Kalra2—2022
Abhay Saxena2—2022
Abhi Khanna2—2022
Abhishek Naik2—2022
Adam Boeglin2—2022
Adam Hesch2—2022
Adam Hill2—2022
Adam Palmer2—2022
Adam Selipsky2—2022
Adi Singh2—2022

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.