Data Transformers Podcast
Data Transformers Podcast
Helping Businesses Responsibly Implement AI
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Episode Title : Helping Businesses Responsibly Implement AI

Episode Summary:

Businesses need to evaluate AI strategy as a key element of corporate strategy and not as a separate strategy. Example, if diversity and inclusion is a core strategy, those values should be part of AI strategy too. Cortnie Abercrombie, CEO & Founder of AI Truth, worked with many businesses as part of IBM’s Digital Transformation team. Cortnie advocates that businesses need to start with a goal. Is this a goal we need to pursue AI for this goal? Could we pull the use case in a way that does more good? Example: Targeting heavy smoking people for additional sales? She also warns businesses that AI models are not just set and forgotten. They need to properly document so they can be explained and maintained.

Topics discussed in this episode:

2:20 – Evaluate AI strategy as a key element of corporate strategy and not as a separate strategy. Example, if diversity and inclusion is a core strategy, those values should be part of AI strategy too.

4:38: Cultural aspects of positions of data scientist and marketing. Social media analytics that marketing wants. But don’t have a clue on what is needed. 

7:10: Data librarians – People who do Data labelling and data sourcing. 

9:10: 90% of what goes wrong is data. Data sourcing, Data labelling. People who are labelling the data may not 

11:20: Who is responsible for ethics in AI? Sometimes there are people who are accountable and sometimes there aren’t. 

12:20: Looking at problems in the context of a business situation. 

14:34 to 16:03: Starts with a goal. Is this a goal we need to pursue AI for this goal? Could we pull the use case in a way that does more good? Example: Targeting heavy smoking people for additional sales?

18:30: Fiduciary responsibility versus ethical responsibility. 

22:30:  Chief legal officers, chief risk officers, chief compliance offers are more involved than chief data officers in data matters.

26:58 to 28:30: Algorithms are not just set it and forget it. Lack of documentation for AI models is a problem.

Resources mentioned in this episode:

AI Truth website: https://www.aitruth.org/ 

Podcast website: https://datatransformerspodcast.com

 

Data Transformers Podcast

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Join Peggy and Ramesh as they explore the exciting world of Data Management, Data Analytics, Data Governance, Data Privacy, Data Security, Artificial Intelligence, Cloud Computing, Internet Of Things.