DiscoverData Science on Player FM935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare - Super Data Science: ML & AI Podcast with Jon Krohn
935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare - Super Data Science: ML & AI Podcast with Jon Krohn

935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare - Super Data Science: ML & AI Podcast with Jon Krohn

Update: 2025-10-28
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Jon Krohn speaks to researcher, broadcaster and author Stephanie Hare about how the Hippocratic Oath might apply to artificial intelligence, and a guiding ethos for pushing innovation while protecting users from harm. A code of conduct, she says, could be one approach to ensuring that people are using technology more mindfully and ethically, as well as an opportunity for users to feel that they belong to a wider, global community. Although she sympathizes with people concerned by overregulation undermining innovation, Stephanie also notes that we expect certain standards to be met elsewhere, such as vehicle and drug safety, as well as fair journalistic practices. As Stephanie explains, we need to find a realistic middle ground between innovation and regulation.



This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Gurobi⁠⁠⁠.




Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/935⁠⁠




Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.




In this episode you will learn:



  • (01:23 ) What ‘technology ethics’ is               

  • (14:46 ) Developing a Hippocratic Oath for tech 

  • (42:32 ) How to protect against sensationalism          

  • (53:38 ) How to maintain a balance of growth and infrastructure

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935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare - Super Data Science: ML & AI Podcast with Jon Krohn

935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare - Super Data Science: ML & AI Podcast with Jon Krohn