Tuesday Nov 9
10:50 –
11:40
Cinema 1 (First floor)
Who's Afraid of the Black Box Models?
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Prayson is on the mission to help companies gain AI competitive advantage by growing revenue, slashing production timelines, multiplying efficiency and making data-driven decisions.
Take a dive into the deep depths and pitfalls of explainable machine learning, going beyond the illusions of interpretability and explainability.
Draw from Prayson's experience and explore how ethical data handling and counter-factual fairness model testing help in keeping black-box models and yet satisfy GDPR and ALTAI (Guidelines for Trustworthy AI)
Keynotes
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War is Peace, Freedom is Slavery, Ignorance is Strength, Scrum is AgileAllen HolubWednesday Nov 10, 16:10
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Is Software Engineering Still an Oxymoron?Alan KayMonday Nov 8, 09:30
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The Future of FlightAnita SenguptaMonday Nov 8, 13:50
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Continuous Delivery Pipelines: How to Build Better SW FasterDave FarleyWednesday Nov 10, 16:10
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An Average Working Day on Visionary NASA ProjectsKenneth Harris IIMonday Nov 8, 16:10
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The Worst Programming Language EverMark RendleTuesday Nov 9, 19:00