New Podcast - Ep 1 Tal Zarsky on the Ethics of Big Data and Predictive Analytics

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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
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• 54:30 - 1:00:1 - The gaming the system objection   

Links

• Tal's SSRN profile page with links to his papers

• Tal'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 Zarsky

• Tal'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)