📚 Quinn's Highlights

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

When business leaders describe their organisational cultures as embracing what it means to ‘fail fast’ or suggesting that we are all in a ‘learning organisation’, it rings hollow if the aspirations are not lived and structurally supported. Employees see through the public relations of an organisation that markets itself as innovative yet executes the same playbook year after year.

Driving Data Projects: A Comprehensive Guide

Haskell, Christine

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 tension between the ambiguity of individuals' goals and large scale collective organization Transcript: Speaker 2 Here's the pessimistic nightmare. It is really good and healthy for human beings to live in an ambiguous environment with a pluralistic set of goals, many of which are in Kuwait. That is an essential tension with the methods of large scale collective organization. If it's true that for an organization to cohere, it needs to have clear policies so it can act coherently, then we should not expect that kind of ambiguity to survive at scale. And I think what you're describing, so I tend to think about since I'm a philosopher like what makes something constitutively coherent. And what you're describing is a kind of evolutionary process. You know, some organizations are going to be more coherent than others and some people are more interested in coherence. And the people that are more interested in following the strict outcome are going to arise in the organization. And the organizations that have clear outcomes are going to be better at achieving those outcomes. And so our world is going to be full of large organizations staffed with people that have very, very clear specifications of outcomes. And there's something inhumane and bad about that for individuals. But that's what happens when we need to organize in large scale collectives.

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

COMPLEXITY: Physics of Life

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