nhaliday + white-paper + scale + polisci   2

Information Processing: US Needs a National AI Strategy: A Sputnik Moment?
FT podcasts on US-China competition and AI: http://infoproc.blogspot.com/2018/05/ft-podcasts-on-us-china-competition-and.html

A new recommended career path for effective altruists: China specialist: https://80000hours.org/articles/china-careers/
Our rough guess is that it would be useful for there to be at least ten people in the community with good knowledge in this area within the next few years.

By “good knowledge” we mean they’ve spent at least 3 years studying these topics and/or living in China.

We chose ten because that would be enough for several people to cover each of the major areas listed (e.g. 4 within AI, 2 within biorisk, 2 within foreign relations, 1 in another area).

AI Policy and Governance Internship: https://www.fhi.ox.ac.uk/ai-policy-governance-internship/

https://www.fhi.ox.ac.uk/deciphering-chinas-ai-dream/
https://www.fhi.ox.ac.uk/wp-content/uploads/Deciphering_Chinas_AI-Dream.pdf
Deciphering China’s AI Dream
The context, components, capabilities, and consequences of
China’s strategy to lead the world in AI

Europe’s AI delusion: https://www.politico.eu/article/opinion-europes-ai-delusion/
Brussels is failing to grasp threats and opportunities of artificial intelligence.
By BRUNO MAÇÃES

When the computer program AlphaGo beat the Chinese professional Go player Ke Jie in a three-part match, it didn’t take long for Beijing to realize the implications.

If algorithms can already surpass the abilities of a master Go player, it can’t be long before they will be similarly supreme in the activity to which the classic board game has always been compared: war.

As I’ve written before, the great conflict of our time is about who can control the next wave of technological development: the widespread application of artificial intelligence in the economic and military spheres.

...

If China’s ambitions sound plausible, that’s because the country’s achievements in deep learning are so impressive already. After Microsoft announced that its speech recognition software surpassed human-level language recognition in October 2016, Andrew Ng, then head of research at Baidu, tweeted: “We had surpassed human-level Chinese recognition in 2015; happy to see Microsoft also get there for English less than a year later.”

...

One obvious advantage China enjoys is access to almost unlimited pools of data. The machine-learning technologies boosting the current wave of AI expansion are as good as the amount of data they can use. That could be the number of people driving cars, photos labeled on the internet or voice samples for translation apps. With 700 or 800 million Chinese internet users and fewer data protection rules, China is as rich in data as the Gulf States are in oil.

How can Europe and the United States compete? They will have to be commensurately better in developing algorithms and computer power. Sadly, Europe is falling behind in these areas as well.

...

Chinese commentators have embraced the idea of a coming singularity: the moment when AI surpasses human ability. At that point a number of interesting things happen. First, future AI development will be conducted by AI itself, creating exponential feedback loops. Second, humans will become useless for waging war. At that point, the human mind will be unable to keep pace with robotized warfare. With advanced image recognition, data analytics, prediction systems, military brain science and unmanned systems, devastating wars might be waged and won in a matter of minutes.

...

The argument in the new strategy is fully defensive. It first considers how AI raises new threats and then goes on to discuss the opportunities. The EU and Chinese strategies follow opposite logics. Already on its second page, the text frets about the legal and ethical problems raised by AI and discusses the “legitimate concerns” the technology generates.

The EU’s strategy is organized around three concerns: the need to boost Europe’s AI capacity, ethical issues and social challenges. Unfortunately, even the first dimension quickly turns out to be about “European values” and the need to place “the human” at the center of AI — forgetting that the first word in AI is not “human” but “artificial.”

https://twitter.com/mr_scientism/status/983057591298351104
https://archive.is/m3Njh
US military: "LOL, China thinks it's going to be a major player in AI, but we've got all the top AI researchers. You guys will help us develop weapons, right?"

US AI researchers: "No."

US military: "But... maybe just a computer vision app."

US AI researchers: "NO."

https://www.theverge.com/2018/4/4/17196818/ai-boycot-killer-robots-kaist-university-hanwha
https://www.nytimes.com/2018/04/04/technology/google-letter-ceo-pentagon-project.html
https://twitter.com/mr_scientism/status/981685030417326080
https://archive.is/3wbHm
AI-risk was a mistake.
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february 2018 by nhaliday
Political Polarization in the American Public | Pew Research Center
- next few decades are gonna be a slugfest
- also, looks like Ds shifted left, then Rs as well, Ds refused to meet in middle, then both shifted in opposite directions (Ds moreso)

Party Differences in Support for Government Spending, 1973-2014: https://sci-hub.tw/http://journals.sagepub.com/doi/abs/10.1177/1532673X17719718

The Partisan Divide on Political Values Grows Even Wider: http://www.people-press.org/2017/10/05/the-partisan-divide-on-political-values-grows-even-wider/
Sharp shifts among Democrats on aid to needy, race, immigration

sharp uptick in 2010 maybe related to: https://pinboard.in/u:nhaliday/b:5ddfca30723d

https://twitter.com/toad_spotted/status/915959944087826432
https://archive.is/zNZm2
The Great a-Woke-ening of the 2010s has been a powerful force for Democrats.

cf: https://pinboard.in/u:nhaliday/b:8c26cb2a515b

Democrats' delusions of pragmatism: http://theweek.com/articles/729980/democrats-delusions-pragmatism
Democrats like to tell themselves a comforting story.

Democrats are pragmatists, if they do say so themselves, deeply rooted in the reality-based community, beholden to facts, toiling valiantly and soberly to make the country a better, fairer place. Republicans, meanwhile, are ideologues monomaniacally fixated on cutting government spending and taxes for the wealthy, regardless of the consequences, and moving inexorably further and further to the extreme right.

However, if a recent Pew poll is to be believed, this story is nothing but a self-justifying myth. Yes, many Republicans are ideological, and the party has indeed been moving to the right in recent years. But the truth is that Democrats have simultaneously been moving to the left — and doing so with greater unity and, on some issues, more rapidly than Republicans have been moving right.

...

What's new in Pew's poll are the changes in public opinion over time across a range of issues. Not only are Democrats and Republicans further apart than ever (or at least since tracking began, in 1994) on such issues as government regulation of business, benefits to the poor, the fairness of corporate profits, the role of racism in American society, immigration, and environmental regulations, but in most cases the growing gap is more a result of a shift in public opinion among Democrats than it is a product of changes among Republicans.

In some cases (on race and immigration) the biggest shift has come in the past few years, which points to a rebound effect in reaction to Donald Trump's campaign and his presidency. But on most of the issues, the gap has been widening for a much longer time, pointing to a broader trend toward the ideological left among Democrats.
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march 2017 by nhaliday

bundles : abstractdismalityframeguvnormetavague

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