Algorithms, Data & Constructing a Model of the World Explained

Adam and Kristi discuss the power and importance of algorithms. Adam describes the experience of watching a machine learn in real time. We discuss our essay An algorithm for altruism in which we observe worsening wealth inequality globally and particularly the recent trend of declining standards of living. Kristi talks about her motivation toward philanthropy and altruism, observes that access to data is important for the success of communities wanting to make change and describes the emergence of a “data divide” between organisations with access to data and those without. We discuss the three pillars of Data Science; Mathematics and Statistics, Coding, and Domain Knowledge. Adam describes what is Data within the paradigm of Data, Model, Prediction, Decision. We discuss bias in Machine Learning, and the risk that automated systems can perpetuate biases, particularly where they operate without human oversight.

An algorithm for altruism - Griffith Review

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