Talk & Panel: Responsible AI: Trust, Fairness, and Transparency in Machine Learning at the appliedAI Ecosystem Meetup in Munich, 14. January 2019

Talk & Panel: Responsible AI: Trust, Fairness, and Transparency in Machine Learning at the appliedAI Ecosystem Meetup in Munich, 14. January 2019

14. Januar 2019 · by · in About, Allgemein, Conference, MeetUp, Project

Around 150 attendees participated in the appliedAI Ecosystem Meetup on Artificial Intelligence in Munich and Partners. Challenging talk on #ResponsibleAI: Trust, Fairness, and Transparency in Machine Learning – and interesting panel with Leon Szeli and Fabian Mader.

AI and ML technologies are used within #industrial environments to enable smarter decisions and to improve performance and precision. Algorithms increasingly govern our social world, transforming data into scores or rankings that decide who gets credit, jobs, dates, policing, and much more. Algorithms alone can’t meaningfully hold other algorithms accountable*. Though, security, trust, and reliability have always been hallmarks of the European market and its industrial ecosystem. Those values will become even more important in the entire lifecycle of AI-related products and processes – let`s discuss recent trends on #Trust, #Fairness, and #Transparency in #MachineLearning

View at LinkedIn – appliedAI


[*Frank Pasquale, University of Maryland Francis King Carey School of Law]
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