The Ethics of Machine Learning - Interview with Tiberio Caetano (Co-Founder & Chief Scientist at Ambiata)


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With companies starting to pay the price for inadvertent unethical outcomes created by their systems and engineering, there is a need for data scientists, actuaries and professionals to respect the discipline of ethics. "Artificial Intelligence" (AI) conjures fear, excitement and confusion in humans. In this podcast episode, Tiberio Caetano, Co-Founder and Chief Scientist at Ambiata, one of the most respected data science companies in Australia, clears up some of the confusion by unpacking the complex problem of ethics. Tiberio is interviewed by Anthony Tockar, Director at Verge Labs and Curator of the Data Digital Track at the upcoming General Insurance Seminar (GIS2018). Tiberio explains two sub-problems within ethics: the valuation problem, which is about the desirability of a given world, and the causation problem which is more of a navigation problem about what one has to do to obtain the result they want. Ethics can also be conceptualised through the lens of descriptive ethics, which is about what people think is right and wrong (and this varies depending on time, place and culture), and that of normative ethics which is about improving the world in an objective way, more in line with converging ideas of human rights and fundamental morality. Download Transcript here;

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