📚 Quinn's Highlights

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

Pol.is: An Example of Tools for Facilitating Non-Adverserial Debate at Scale Summary: A twitter-like system in Taiwan guides conversations towards consensual outcomes by using k-means clustering. It's a simple proof of concept for fact checking and has been effective in large-scale conversations. The science of plurality can advance to help navigate complexity in diverse opinions. Transcript: Speaker 2 Pol.is i don't know if you guys are familiar with that but it's a system used in Taiwan it's a twitter like format but it deliberately guides conversations towards consensual or partially Consensual outcomes while highlighting the differences that exist in the conversations in a non-judgmental way and it's just a wonderful system and at the same time it's like the Most simplistic proof of concept of the general direction it uses k-means clustering of stated opinions it doesn't use any natural language processing it's like the bargain basement Version of what it's trying to achieve but it still has been transformatively effective for these types of conversations at scale in Taiwan and is being adopted if it survives by the Twitter bird watch folks as the foundations of what they're trying to do for fact checking so i do believe that there is a science here that can advance dramatically i think that we have Not chosen to apply ourselves to it because we've been seduced by oh we're going to do the unbiased algorithm that's going to predict the truth the right way rather than saying no people Are diverse you have a lot of different opinions how do we actually help people navigate that complexity so i really am hopeful that this science what i would call plurality really can Advance and and help us do these things much better and again i'll put in the plug if you're a researcher interested in these things we're trying to build an academic community that really Wants to work on them right to me at when at pluralitynetwork.org

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

COMPLEXITY: Physics of Life

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

Bad Norms and Policies Produce "Legislatice Mediocrity" in Organizations Summary: Encouraging a culture of being teachable and open to listening to others is crucial for innovation and improvement in organizations. While standard operating procedures (SOPs) and efficient systems are appreciated, they should not create taboos or hinder learning, leading to what the speaker refers to as 'legislative mediocrity.' The speaker advocates for a focus on innovation and continuous improvement, rather than being stifled by rigid norms and policies. Transcript: Speaker 1 You want to be teachable and you want to have a culture of being teachable and listening to others. Yeah. That's that's really important. And so I love SOPs. I love I love it when you get a system working well and efficient. But I don't like it when it creates taboos and when it stops people learning. Legislative mediocrity. It drives me nuts. I'm very much let's do innovation. Let's improve.

Organizational Structures That Enable Knowledge Flow With Stuart French

Because You Need to Know Podcast ™

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