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A batch of the best highlights from what Quinn's read, .

While Algorithmic Decision-Making Does Suffer From Bias, It Offers the Potential for Unparalleled Transparency In the Decision-Making Process Summary: Algorithms offer a transparent and accountable way for decision making. They can detect bias and perpetuated patterns, but must be transparent, independently audited, and not proprietary or snake oil. Transcript: Speaker 1 And then the response comes back saying yes but if you're basing it on historical data then you're feeding in biases of the past which you're going to propagate into the future there Is a kind of new attitude about all this which is kind of orthogonal to these two axes which I personally find pretty compelling and it's come up in from a couple of different places independently I could drop a few names but let me just say that the attitude is that algorithms at their best offer a new way for decision making to be transparent and accountable that's at their best So you know if an algorithm is something that everyone understands how it works everyone understands why we are chose to use this algorithm how it was trained and it's something which Can be independently audited it's even something which could be tinkered with to see if it could be made more fair and more accurate that kind of algorithm could raise the standard of Decision making in many areas and let us detect bias where it crops up and also help us detect where historical patterns are being perpetuated and what we might do to fix that but the big But is they have to be transparent they have to be independently audited they can't be proprietary and opaque and hidden behind veils of intellectual property and they also can't just Be snake oil right so there is a lot of snake oil out there there's a lot of products being put out to market which have not in any sense been independently verified or validated and where Their users and customers frankly don't really know whether their results ought to be interpreted the way they ought to be interpreted and so there needs to be a lot more critical thinking Aimed at these

Glen Weyl & Cris Moore on Plurality, Governance, and Decentralized Society

COMPLEXITY: Physics of Life

The Problem of Scale Clash in Human Collaboration Summary: The problem goes beyond ideal scale of humanity. Different things we want involve different scales. Science works on a huge scale for problems like climate change while other things work on medium or small scales. There is a clash of different scales and no optimal scale. The big scales tend to win and squash out the small scales. However, over long time scales, these complex systems tend to implode. It's about a dynamic balance where different forces coexist. How do we handle this in light of global coordination, bioregional organization, and personal relationships at the neighborhood level? Transcript: Speaker 2 I think the problem is even worse than what you're describing I'm going to try to pessimize what you said I mean when you ask me a question like have we gone past the ideal scale of humanity That implies that there is an ideal scale that we could plausibly hit if we could somehow convince people to scale back. For me the real worry is there's no ideal scale of humanity because different things we want to be involved in demand different scales science works really big good on a huge scale solving Problems like climate change our massive scale problems that everyone has to get together on and then there are other things that work at medium or small scales and there's just this Unsolvable scale clash my real worry is that different parts of us and our needs call us to different scales and there is not an optimal scale and so I have to participate in these different Scales or in tension with each other and also the big scales tend to win because they get really powerful and so they squash out the small scales. Speaker 3 Over short time scales though right because over long time scales those like you know this is the Bob May will a complex system large complex system be stable question it's like at some Point those things tend to implode so it's not about like an equilibrium so much as it is about a a dynamic balance or a zone at which these different forces are able to coexist how do you Deal with all of this in light of both the need for global coordination and bioregional organization and neighborhood level personal relationships etc.

Paul Smaldino & C. Thi Nguyen on Problems With Value Metrics & Governance at Scale

COMPLEXITY: Physics of Life

The Golden Rule Doesn't Account for Other's Preferences and Interests The Golden Rule fails to consider individual differences, particularly in power dynamics. It assumes treating others as we want to be treated is ethical, but ignores the possibility that they may have different preferences based on their unique characteristics and circumstances. Transcript: Speaker 1 The golden rule does not adequately take into account these differences, especially of power. People commonly say, why is it ethical to treat others as we would want to be treated? They may be different than us and may want to be treated differently.

The Golden Rule

In Good We Trust

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