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Elemental Collision

Elemental Collision

Written by: Dave Graham
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Elemental Collision is about technology, life and the impact each have on each other. The intersection and collision of these two major topics has a massive effect on community, how we do business and how we enjoy life. This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacyAll rights reserved Philosophy Science Social Sciences
Episodes
  • Bias in the Machine: Addressing Bias in an AI-Driven World
    Mar 2 2021
    This is the keynote presentation for the https://www.nisciencefestival.com/e21485-bias-in-ai (Bias in AI session), part of the Tech and Digital Section of the https://www.nisciencefestival.com/ (NI Science Festival) held on 23-February, 2021. This session covers where bias comes from, some common examples of cognitive biases, current examples of both sociological bias as well as endemic bias in technology companies, a cycle for disrupting bias in AI development, and a call to action. This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacy
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    24 mins
  • Learning through Adversity
    Feb 23 2021
    Not everything we do will succeed. In fact, more often than not, we will experience what most call "failure" or "adversity." The challenge when this comes is to push on, learn the lessons afforded by the situation at hand and, well, shape your world consequently. Ben Lindsay of STAND has learned these lessons and is here to tell his story. It would do all of us well to hear what he has to say. This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacy
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    37 mins
  • Bias in Hiring: Changing Processes One Step at a Time
    Feb 9 2021
    Another incredible individual attempting to reinvent the hiring process is Michael Blakley from Equitas. From his past in recruiting folks for Aldi to his present at Equitas, his pursuit of equitable hiring practices, using AI to eliminate bias is to be commended. This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacy
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    26 mins
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