The Rise Of 'Fake News' Coincides With Society Outsourcing Its Thinking To Algorithms - Kalev Leetaru, Forbes
"We are outsourcing our thinking to algorithms designed to moderate, monetize, manipulate and mine us."
I had a one-sided conversation with a friend today (it was via email, so there's no response yet) regarding an aspect of this topic. I was reading a chapter related to crowd sourced decision making, how to increase the accuracy of those decisions on an individual level, and what it means for human plus computer interaction and prediction. Along the lines of what's referred to as a centaur. It's my contention that computers as the driver of prediction with human-curated assessment and, more likely, human-based randomization and error insertion, like the the seed in a game, may require the youngest generation to come of age. E.g. a generation that can get past feeling that computers serve humans and the internet is human centric, despite a very obvious tendency to give in to letting computers make the decisions with very little information literacy applied. The internet is too new to most of us (still), and machine learning and AI even moreso, for a sizable segment to be able to critically assess what's being presented and how to counteract bad information, or to even think about those issues to the extent that we do anything other than accept what an algorithm tells us as fact. To the extent that we have blatant echo chambers where contrary information is readily at hand.
Showing posts with label ai. Show all posts
Showing posts with label ai. Show all posts
Sunday, July 07, 2019
Tuesday, July 11, 2017
To Read Today
A few things I've read recently...
Not as interesting as I'd hoped. A comparison of Googling to code versus yet another code-specific search engine (SyntaxDB). Conclusion: Google works pretty well.
Neurons, sigmoid functions, and image cleaning. Not as good as some things I've read and a little heavy on the math if you're not from that side of things. Real examples, however. I like the Tensorflow cat and purse example found elsewhere better - you can really see the layering of work in the API.
Comes to the same conclusions as an earlier article I read. Jobs that involve servicing each other are going to become highly important as computers eliminate other jobs. E.g. social welfare jobs. Touches on minimal income, the have and have-not gap, and other aspects that are common between AI impact writing at the moment. I was intrigued by the topic of AI-driven colonialism. That's sort of crazy and almost dystopic in idea; that countries without the income or population to create self-sustaining AI-driven economies might need to sell themselves, almost like a country-sized asset, to patrons like the US or China. You can squint and see the utopic version of that where countries without good assets gain minimal living standards and participate in a global service (each other) economy. You can not squint and see where it might go down a morlocks slash 1984-population as an asset slash neo-english-virtual-colonialism-two-superpower dystopic path. Interesting times.
I want to try this one with the examples because it looks pretty straight forward, but I'm going to do the Pluralsight class instead.
Absolutely excellent article. He does a great job of explaining blockchain for n00bs. I'm going to use this and the Pluralsight class to create a presentation for my team.
A Search Engine for Programming Language Syntax Is a Pretty Good Idea
https://motherboard.vice.com/en_us/article/4xam5d/a-search-engine-for-programming-language-syntax-is-a-pretty-good-ideaNot as interesting as I'd hoped. A comparison of Googling to code versus yet another code-specific search engine (SyntaxDB). Conclusion: Google works pretty well.
Introduction to Neural Networks
https://medium.com/binary-maths/introduction-to-neural-networks-ead8ec1dc4ddNeurons, sigmoid functions, and image cleaning. Not as good as some things I've read and a little heavy on the math if you're not from that side of things. Real examples, however. I like the Tensorflow cat and purse example found elsewhere better - you can really see the layering of work in the API.
The Real Threat of Artificial Intelligence
https://www.nytimes.com/2017/06/24/opinion/sunday/artificial-intelligence-economic-inequality.htmlComes to the same conclusions as an earlier article I read. Jobs that involve servicing each other are going to become highly important as computers eliminate other jobs. E.g. social welfare jobs. Touches on minimal income, the have and have-not gap, and other aspects that are common between AI impact writing at the moment. I was intrigued by the topic of AI-driven colonialism. That's sort of crazy and almost dystopic in idea; that countries without the income or population to create self-sustaining AI-driven economies might need to sell themselves, almost like a country-sized asset, to patrons like the US or China. You can squint and see the utopic version of that where countries without good assets gain minimal living standards and participate in a global service (each other) economy. You can not squint and see where it might go down a morlocks slash 1984-population as an asset slash neo-english-virtual-colonialism-two-superpower dystopic path. Interesting times.
Starting With Blockchain Chaincode Using Golang
https://dzone.com/articles/starting-with-blockchain-chaincode-using-golangI want to try this one with the examples because it looks pretty straight forward, but I'm going to do the Pluralsight class instead.
The ultimate 3500-word guide in plain English to understand Blockchain
https://www.linkedin.com/pulse/blockchain-absolute-beginners-mohit-mamoriaAbsolutely excellent article. He does a great job of explaining blockchain for n00bs. I'm going to use this and the Pluralsight class to create a presentation for my team.
Labels:
ai,
blockchain,
code,
golang,
neural networks,
reading,
search
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