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Embedding Responsible AI in Your Models and Your Team (Anand Rao, Global Artificial Intelligence Lead, PwC)
MP3•Episode home
Manage episode 317883854 series 3279398
Content provided by Domino Data Labs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Domino Data Labs or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Who uses the models that we create and how do they use them? Those key questions underpin the notion of responsible AI.
Since algorithms can have a significant societal impact, it’s vital that data scientists are aware of the broader context in which they may be applied.
In this episode, Anand Rao, Global Artificial Intelligence Lead at PwC, breaks down why responsible AI should be an important consideration for every data science team. Plus, he explains what you need to be successful in AI consulting, and why a portfolio approach to ROI is the best way to demonstrate value to the business.
We discuss:
The difference between AI in the 1980s and today
Why data science leaders should care about responsible AI
The ingredients for an effective data science consulting practice
ROI analysis in data science
Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
Can’t see the links above? Just visit domino.buzz/podcast for helpful links from each episode.
…
continue reading
Since algorithms can have a significant societal impact, it’s vital that data scientists are aware of the broader context in which they may be applied.
In this episode, Anand Rao, Global Artificial Intelligence Lead at PwC, breaks down why responsible AI should be an important consideration for every data science team. Plus, he explains what you need to be successful in AI consulting, and why a portfolio approach to ROI is the best way to demonstrate value to the business.
We discuss:
The difference between AI in the 1980s and today
Why data science leaders should care about responsible AI
The ingredients for an effective data science consulting practice
ROI analysis in data science
Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
Can’t see the links above? Just visit domino.buzz/podcast for helpful links from each episode.
84 episodes
MP3•Episode home
Manage episode 317883854 series 3279398
Content provided by Domino Data Labs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Domino Data Labs or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Who uses the models that we create and how do they use them? Those key questions underpin the notion of responsible AI.
Since algorithms can have a significant societal impact, it’s vital that data scientists are aware of the broader context in which they may be applied.
In this episode, Anand Rao, Global Artificial Intelligence Lead at PwC, breaks down why responsible AI should be an important consideration for every data science team. Plus, he explains what you need to be successful in AI consulting, and why a portfolio approach to ROI is the best way to demonstrate value to the business.
We discuss:
The difference between AI in the 1980s and today
Why data science leaders should care about responsible AI
The ingredients for an effective data science consulting practice
ROI analysis in data science
Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
Can’t see the links above? Just visit domino.buzz/podcast for helpful links from each episode.
…
continue reading
Since algorithms can have a significant societal impact, it’s vital that data scientists are aware of the broader context in which they may be applied.
In this episode, Anand Rao, Global Artificial Intelligence Lead at PwC, breaks down why responsible AI should be an important consideration for every data science team. Plus, he explains what you need to be successful in AI consulting, and why a portfolio approach to ROI is the best way to demonstrate value to the business.
We discuss:
The difference between AI in the 1980s and today
Why data science leaders should care about responsible AI
The ingredients for an effective data science consulting practice
ROI analysis in data science
Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
Can’t see the links above? Just visit domino.buzz/podcast for helpful links from each episode.
84 episodes
All episodes
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