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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders.

Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader.

Oct 22, 2019

An often forgotten about topic garnered high praise at TWIMLcon this month: operationalizing responsible and ethical AI. This important topic was combined with an impressive panel of speakers, including: Rachel Thomas, Director, Center for Applied Data Ethics at the USF Data Institute, Guillaume Saint-Jacques, Head of Computational Science at LinkedIn, and Parinaz Sobahni, Director of Machine Learning at Georgian Partners, moderated by Khari Johnson, Senior AI Staff Writer at VentureBeat. This episode covers:

  • The basics of operationalizing AI ethics in a range of orgs and insight into an array of tools, approaches, and methods that have been found useful for teams to use
  • The biggest concerns, like focusing more on harm as opposed to algorithmic bias and encouraging specific responsibility for systems
  • Educating the general public on the realities and misconceptions of probabilistic methods and putting into place preventative guardrails has become imperative for any operation
  • The long-term benefits of ethical decision-making and the challenges of established versus startup companies
  • Questions from the TWIMLcon audience, some common examples of power dynamics in AI ethics, and what we as a community can be doing to push the needle in the very powerful world of responsible AI

The complete show notes can be found at