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
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
Links
- '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
- '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)
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