Summary: I've started a new podcast as part of my Algocracy and Transhumanism project. The aim of the project is to ask three questions: How does technology create new governance structures, particularly algorithmic governance structures?How does technology create new governance subjects, particularly through the augmentation and enhancement of the human body?What implications does this have for our core political values such liberty, equality, privacy, transparency, accountability and so on? The first episode is now available. I interview Professor Tal Zarsky about the ethics of big data and predictive analytics. You can download here or listen below. I will add iTunes and Stitcher subscription information once I have received approval from both. Show Notes 0:00-2:00 - Introduction 2:00-12:00 - Defining Big Data, Data-Mining and Predictive Analytics 12:00-17:00 - Understanding a predictive analytics systems 17:00 - 21:30 - Could we ever have an intelligent, automated decision-making system? 21:30 - 29:30 - Evaluating algorithmic governance systems: efficiency and fairness 29:30 - 36:00 - Could algocratic systems be less biased? 36:00 - 42:00 - Wouldn't algocratic systems inherit the biases of programmers/society? 42:00 - 54:30 - The value of transparency in algocratic systems 54:30 - 1:00:1 - The gaming the system objection LinksTal's SSRN profile page with links to his papersTal's profile page at the University of Haifa'The Real Privacy Problem' by Evgeny Morozov'Transparent Predictions' by Tal Zarsky'Automated Prediction: Perception Policy and Law' by Tal Zarsky'Understanding Discrimination in the Scored Society' by Tal ZarskyTal's taxonomy of objections to automated decision-making'The Logical Space of Algocracy' - by John Danaher'The Threat of Algocracy: Reality, Resistance and Accommodation' by John Danaher'Discrimination in Online Ad Delivery' by Latanya Seeney'The Hidden Biases of Big Data' by Kate Crawford'The Right to Privacy' by Warren and Brandeis (Harvard Law Review 1890)
