EP73: Samiran Ghosh, Head of Innovation Labs: Why AI continues to fail at value-laden decision making
15 lug 2020 ·
15 min. 14 sec.
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Descrizione
💬 “With AI on a global scale, certain developing nations could leverage the ‘leapfrog effect’. This can occur when a late technological entrant has the two distinct advantages of learning...
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💬 “With AI on a global scale, certain developing nations could leverage the ‘leapfrog effect’. This can occur when a late technological entrant has the two distinct advantages of learning from first movers and of not living with legacy.”
🎙️ This is a conversation with Samiran Ghosh. Samiran has held leadership roles with IBM, Microsoft and McKinsey and he’s worked on the world's largest digital identity program. Samiran has authored chapters on blockchain and AI in books published by Wiley and is a TEDx speaker and Forbes Tech Council member.
🎧 In this episode, Samiran talks about why embedding ethics and morality in machines is so difficult despite having a thousand years of common law. We discuss whether it’s fair that we hold AI decision making to higher standards than human decision making and how difficult it is to ever say whether technology is doing good or bad.
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🎙️ This is a conversation with Samiran Ghosh. Samiran has held leadership roles with IBM, Microsoft and McKinsey and he’s worked on the world's largest digital identity program. Samiran has authored chapters on blockchain and AI in books published by Wiley and is a TEDx speaker and Forbes Tech Council member.
🎧 In this episode, Samiran talks about why embedding ethics and morality in machines is so difficult despite having a thousand years of common law. We discuss whether it’s fair that we hold AI decision making to higher standards than human decision making and how difficult it is to ever say whether technology is doing good or bad.
Informazioni
Autore | Richard Foster-Fletcher |
Organizzazione | Richard Foster-Fletcher |
Sito | - |
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