In AI We Trust?

102 Avsnitt

1. Marco Casalaina (Salesforce): Techno-Optimist not a Techno-Chauvinist

   Publicerades: 2022-02-11
2. Mukesh Dalal, Stanley Black & Decker (SBD): Why all companies will need a Chief AI Officer

   Publicerades: 2022-02-04
3. Meghna Sinha: Why data scientists are like medical professionals; why ignorance is not an option and steps we all must take when making data-based decisions

   Publicerades: 2022-01-28
4. In AI we Trust welcomes its acclaimed new cohost, Kay Firth-Butterfield of the World Economic Forum

   Publicerades: 2022-01-18
5. A year in review: the path toward responsible AI in 2021 (and farewell to Mark episode)

   Publicerades: 2022-01-07
6. Amy Holcroft: How HPE is "living it in action" how the EqualAI Badge program, in collaboration with WEF, has helped this effort

   Publicerades: 2021-12-09
7. Seth Dobrin: How do you establish a human-centered approach to data and AI (and why is this necessary to succeed)?

   Publicerades: 2021-11-11
8. Kat Zhou: What is the role of design in creating inclusive and equitable AI?

   Publicerades: 2021-11-03
9. Alex Kotran: Who needs AI literacy and how can we accelerate it?

   Publicerades: 2021-10-28
10. Meg King of the Wilson Center: Who is ensuring policy makers are able to "speak AI"?

    Publicerades: 2021-10-22
11. David Hardoon: Can AI be ethical?

    Publicerades: 2021-10-14
12. Rep. Yvette Clarke: Why is AI regulation necessary during this time of racial reckoning?

    Publicerades: 2021-10-06
13. Elham Tabassi of NIST: Who ensures the U.S. has strong metrics, tools, & standards for responsible AI?

    Publicerades: 2021-09-28
14. Taka Ariga and Stephen Sanford: What is the U.S. GAO's AI Framework?

    Publicerades: 2021-09-23
15. Vilas Dhar: How can civil society shape a positive, human-centric future for AI?

    Publicerades: 2021-09-16
16. Steve Mills: How can companies walk the walk on responsible AI?

    Publicerades: 2021-08-24
17. Julia Stoyanovich: Can AI systems operate fairly within complex, diverse societies?

    Publicerades: 2021-08-18
18. Oren Etzioni: Why is the term "machine learning" a misnomer?

    Publicerades: 2021-08-10
19. Alexandra Givens: What makes tech to social justice issue of our time?

    Publicerades: 2021-08-05
20. Navrina Singh: How AI is a multi-stakeholder problem and how do we solve for it? (Spoiler: it's all about trust.)

    Publicerades: 2021-07-28