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Description:
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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 twimlai.com/talk/310 |