Tiberio Caetano - Data Ethics

3 September 2019Data is now seen as a key resource and artificial intelligence applications are being used more and more by businesses and governments for decision-making, optimization and automation. It is becoming increasingly clear that if these activities are badly managed, people can suffer harm as a result of bad decisions, thoughtless design, and embedded prejudices. This session will explore the practicalities of:- Understanding the broader impact and risks of data design decisions.- Engaging the right stakeholder groups to ensure these risks are mitigated.- Making trade-offs in the design process.Tiberio Caetano is Chief Scientist at the Gradient Institute. He has spent the last 20 years working on machine learning in numerous roles as a student, researcher, academic, entrepreneur and practitioner. He spent 10 years at NICTA and in 2012 he co-founded Ambiata, a data science NICTA spin-off focusing on applying rigorous scientific methodologies for personalised decision-making using machine learning, causal inference and randomised controlled trials.

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