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Top news of the week: 07.07.2022.

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@MIRIBerkeley shared
On Jul 7, 2022
RT @KeiranJHarris: In his 2017 book Life 3.0, @tegmark was pretty upbeat about our ability to safely develop powerful AI systems. But his optimism peaked while he was writing the last chapter, and he now says recent developments have put us in the “worst-case scenario”... https://t.co/YXshQiummY https://t.co/aMo2DOONvf
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Max Tegmark on how a ‘put-up-or-shut-up’ resolution led him to work on AI and algorithmic news selection

Max Tegmark on how a ‘put-up-or-shut-up’ resolution led him to work on AI and algorithmic news selection

In the 2010s he wrote two best-selling books, Our Mathematical Universe: My Quest for the Ultimate Nature of Reality, and Life 3.0: Being Human in the Age of Artificial …

@dw2 shared
On Jul 7, 2022
@ProfSteveFuller @ESYudkowsky I don't "suppose" that increased AI *will* be "hostile to humanity". I assemble reasons why increased AI *might* take actions that are deeply detrimental to human flourishing. It's probabilistic, rather than any sure thing. https://t.co/yojeaHOHMg https://t.co/YAGmTKOQFI
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The Singularitarian Stance

The Singularitarian Stance

The Singularitarian Stance The Singularitarian Stance is an integrated set of views regarding the potential emergence of AGI (Artificial General Intelligence). This set of views is what I ...

@techreview shared
On Jul 7, 2022
The invasion of Ukraine has prompted militaries to update their arsenals—and Silicon Valley stands to capitalize. https://t.co/LlA8tykEvj
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Why business is booming for military AI startups

Why business is booming for military AI startups

The invasion of Ukraine has prompted militaries to update their arsenals—and Silicon Valley stands to capitalize.

@DeepMind shared
On Jul 4, 2022
In a new @NatureHumBehav paper, our team trained an AI system to distribute resources according to human preferences, fostering cooperation and fairness. Read more at https://t.co/h2iByPSb9i and https://t.co/hfoB8lrmBa 1/
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Human-centred mechanism design with Democratic AI

Human-centred mechanism design with Democratic AI

Koster, Balaguer et al. show that an AI mechanism is able to learn to produce a redistribution policy which is preferred to alternatives by humans in an incentivized game.

@random_walker shared
On Jul 5, 2022
It's not just journalists who don't understand ML accuracy measurement. In a brilliant paper, @aawinecoff & @watkins_welcome explain how VCs have extremely superficial ideas about accuracy and how startup founders respond to these misinformed expectations: https://t.co/H6RWsqfLgm https://t.co/NfhptPeSlg
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Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups

Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups

The authors subsequently discussed the in-vivo codes as well as relevant theory and chose to focus the next analysis phase on five core themes: 1) the "AI hype cycle" or how …

@random_walker shared
On Jul 5, 2022
Another important angle: decision-making systems aren't adopted in a vacuum but rather in existing institutions. We need to know the pros and cons of the algorithmic tool versus whatever bureaucratic process it's meant to replace. A recent related paper: https://t.co/BD2YuelmR8
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What is the Bureaucratic Counterfactual? Categorical versus Algorithmic Prioritization in U.S. Social Policy

What is the Bureaucratic Counterfactual? Categorical versus Algorithmic Prioritization in U.S. Social Policy

Categorical versus Algorithmic Prioritization in U.S. Social Policy Rebecca A. Johnson∗ McCourt Policy School, Georgetown University Washington, DC, USA [email protected] …

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