Phil 12.21.17

7:00 – 4:00 ASRC MKT

  • And now the days start to get longer!
  • Working on flocking and herding paper. Adding in the adversarial herding parts. Spent a lot of time working on getting a chart that tells the herding story. I’m somewhat ok with this: HerdingImpact
  • Some work on plotting norms using legal documents: Inferring Mechanisms for Global Constitutional Progress
    • Constitutions help define domestic political orders, but are known to be influenced by two international mechanisms: one that reflects global temporal trends in legal development, and another that reflects international network dynamics such as shared colonial history. We introduce the provision space; the growing set of all legal provisions existing in the world’s constitutions over time. Through this we uncover a third mechanism influencing constitutional change: hierarchical dependencies between legal provisions, under which the adoption of essential, fundamental provisions precedes more advanced provisions. This third mechanism appears to play an especially important role in the emergence of new political rights, and may therefore provide a useful roadmap for advocates of those rights. We further characterise each legal provision in terms of the strength of these mechanisms.
    • provisionSpace
  • A Lively Discussion, Even for KSJ: Edmond Awad on His ‘Moral Machine’
    • To collect vast amounts of data on human perspectives about such decisions, Awad and his team launched the Moral Machine website, in which visitors play an interactive game that presents them with a choice of two decisions in a variety of randomly generated crash scenarios. As in the trolley problem, the visitor must choose to swerve or stay the course, sacrificing either the people in the car or one group of pedestrians to save other pedestrians.
    • About Moral Machine
      • Recent scientific studies on machine ethics have raised awareness about the topic in the media and public discourse. This website aims to take the discussion further, by providing a platform for 1) building a crowd-sourced picture of human opinion on how machines should make decisions when faced with moral dilemmas, and 2) crowd-sourcing assembly and discussion of potential scenarios of moral consequence.
      • And this looks like it produced some really good marketing via news coverage
      • “We had four million users visit the website,” Awad said. “Three million of those actually completed the decision-making task, and they clicked on 37 million individual decisions. There’s also the survey that comes after, which is a little bit more work, and we still have over half a million survey responses.” The Scalable Cooperation group plans to publish the full results of the study in an upcoming paper.

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