AI News, The road to Erewohn artificial intelligence

Pixel Scroll 3/20/18 If You Are Stuck In A Kerfuffle, Pixel A Trench And Scroll Your Way To Freedom

Several days ago, various local and web-based news sources that cover castting calls and filiming announcements in Georgia announced that a project called “Puget Sound” had issued casting calls.

utopian ethnographical forgery of the music of a post-tech tribe based on a far future US coast, merging LeGuin’s poetry with Barton’s Buchla compositions, drones, chants and field recordings.

[Reviewer] Ken Hollings said: ‘The living communicate not just with the discreet ghosts of the recently departed, who require nothing now from us but a change in manners, but the feral ghosts who have not yet existed.’ This is not available on the web unless you have a subscription to The Wire, so there is no link included.

But anyone who wants to read it now can download a pdf copy from this link: The 42-page document includes many “sidebars” about Gerrold’s experiences as a guest that explain the importance of the related entries.

I wait until the last moment before sleep to un-tech because I am a woman who lives alone and has been stalked, so I don’t feel safe in my home on crutches.

The resistance would be networked and coded by women and for women to change the course of history and derange sexism beyond recognition.

Instead, it has been so effective at erasing disabled women1 that even now, in conversation with many feminists, I am no longer surprised that disability does not figure into their notions of bodies and embodiment.

To Haraway, the cyborg is a matter of fiction, a struggle over life and death, a modern war orgy, a map, a condensed image, a creature without gender.

The manifesto coopts cyborg identity while eliminating reference to disabled people on which the notion of the cyborg is premised.

Contemporary science fiction often feels fixated on a sort of pessimism that peers into the world of tomorrow and sees the apocalypse looming more often than not.

At a time when simply reading the news is an exercise in exhaustion, anxiety, and fear, it’s no surprise that so many of our tales about the future are dark amplifications of the greatest terrors of the present.

The project will showcase 10 original fiction stories, five animated adaptations, and five audio adaptations by a diverse roster of authors who take a more optimistic view of what lies ahead in ways both large and small, fantastical and everyday.

Rosarium Publishing’s Bill Campbell invites all to check out Ink author, Sabrina Vourvoulias, on The Skiffy and Fanty Show, “talking about her amazing immigration dystopia, the telltale signs of the rise of authoritarianism, and courage in publishing.” —

Meiran says workers are busy right now, turning the cafeteria at Clifton’s into the Exposition Marketplace, which will have seven different stations that offer salads, sandwiches, hot items and desserts.

Each station in the marketplace will function like a mini-market or a deli with pre-packaged items and/or foods that you can buy for takeaway or eat on the premises.

In an impassioned video posted to Twitter on Tuesday, the Mission Impossible star warned that a default setting on many high-end televisions “makes most movies look like they were shot on high-speed video instead of film”.

Taking a break from filming the new Top Gun film, he appeared alongside director Christopher McQuarrie, who pleads with viewers to do a quick internet search and find out how to change the correct settings.

he said, “there’s a good chance you’re not watching movies the way the filmmakers intended, and the ability for you to do so is not simple to access.”

Motion smoothing, or interpolation, is a technique that artificially adds additional frames to the moving image in order to prevent blurring –

Such is Larson’s new normal while filming the ’90s-set origin story, which sees Carol Danvers pitted between warring alien races —

There’s literally no need to spend the time or money doing so, given the advanced level of enthusiasm that’s already out there for the movie, and is only likely to build as it gets closer to the May release date… For that matter, any attempt to take Avengers 4’s trailer from the Schrodinger’s cat-esque position that it currently enjoys is almost guaranteed to disappoint fans, who have by this point built up their own personal trailers filled with whatever moments are essential to their enjoyment of a good teaser for such an anticipated cinematic event….

That would be counterproductive, because the expectation of one is what’s driving the fever pitch of buzz currently surrounding the fourth movie — the chance that, at any moment, it could arrive and something new and exciting could be revealed.

Gerst listened politely to the first 46 seconds of the song —even bopped along with his fist for a few bars—but then he reached out, shook CIMON’s head, and said, “please stop playing music.” But CIMON didn’t understand (or pretended not to?) and kept right on playing music even after Gerst tried several commands to get CIMON to stop.

As Gerst relays CIMON’s technical difficulties to support staff, the robot sheepishly reminds his new friend to “be nice please.” Taken aback, Gerst strikes a slightly menacing tone: “I am nice!

*Santa reveals a flask and takes a long pull* Santa: 65 million years ago, some dinosaur friends and I were hanging out on the Yucatan Peninsula… —

11 Artificial Intelligence Movies You’ll Definitely Love To Watch

From the classic big assembly machinery to supercomputers with incredible operating systems all the way down to human-like robots, developments of this century have changed our lives in an unmeasurable way and, judging by the rate of these developments, it’s safe to say we’ve only seen the beginning.

Therefore, taking some time to dive into philosophical and moral implications of AI, like in Leigh Whannell’s 2018 science fiction horror film Upgrade, and to truly think about what this constant impact between humanity and technology means, is the primary trait of any self-respecting developer… thankfully most Artificial Intelligence movies are thought-provoking.

And, as we are obsessed with movies set in the future, especially the ones where technology is the lead lady, we’ve decided to create the ultimate list of AI films spanned through the decades that reflect the everchanging spectrum of our emotions regarding the machines we have created: 1.

Metropolis Let’s start at the beginning, and there’s no more grandiose beginning that Fritz Lang’s 1927 epic expressionist Sci-Fi.  With groundbreaking visuals (for its time), and a plot that has stood out the test of time, this film has influenced it all: from Blade Runner to Black Mirror, you can see the echo of its ideas in almost every content created after.

Mainly because this is the first serious Sci-Fi film, giving us not only very advanced machinery to look at (which by the way changed our collective vision of what the future looked like), but also a biting social commentary of the implications of human interaction with machines, inspiring and molding our attitude towards many later real and imaginary AI creations to come.

Fast forward to 1968, when HAL 9000, the epitome of the “evil computer”, decides to kill two astronauts because he is unable to reconcile the order to conceal the true nature of its mission with its self-described incapacity to fail: “No ‘9000’ computer has ever made a mistake or distorted information”.

The film never explains where that (almost) hatred comes from but, even when the machine takes on a human form, the differences between him and humans are quite clear, and not just because of its constant disregard at the idea of maintaining a single unalterable form.

On the other hand, much like Skynet, VIKI is a rebellious and quite dangerous supercomputer, the difference is VIKI’s logic didn’t turn her against us to protect itself, but because it prioritized society’s interests over the individuals, this robot honestly believes it can only serve humanity by ruling it.

There he finds a space-cruise filled with incredibly unhealthy humans and through sheer force of will (something usually reserved for humans), and the discovery of a small plant, takes the feeble population of the cruise back to Earth.

This is not some dystopian warning of the evils of technology, but another view on the lovable AI trend that provides a clear examination on the implications of how we relate to it and how it will change the way we relate to each other.  The robot here is a particular hybrid between some of the other AI’s we’ve discussed on this list.

The film frames AI in an optimistic utopian border, but it still reminds us that technology has the capacity of running amok when unchecked or when created under dubious ethical circumstances, as the film leaves clear that a lot of lonely people are falling in love and creating friendships with seemingly sentient operating systems that leave them completely heartbroken when they leave.

At the end of it all, the idea that computer system can somehow become self-aware and decide that we should be completely destroyed or ruled over, as we cannot take care of ourselves it’s a common trope, but in real life all the AI attacks we have suffered have been for very no threatening stuff.

The Regulation of Artificial Intelligence — A Case Study of the Partnership on AI

Literature Review This literature review is used to develop the argument that an effective self- regulatory system has the potential to be an effective solution to the challenges of AI regulation, and draws on examples from the literature on self-regulation to identify characteristics of an effective self-regulatory system.

The regulation of innovation literature identifies clear challenges in the regulation of emerging technologies, but asserts that “there is nothing about technology… that presents unique regulatory problems” (Bennett Moses 2013, 13;

In its turn, the AI policy literature asserts that the biggest challenge in regulating AI is a critical lack of expertise amongst regulators (Scherer 2016), and suggests solutions in the form of national and international regulatory organisations (Brundage and Bryson 2017).

Public risk describes threats to human health or safety that are “centrally produced, broadly distributed, and largely outside the individual risk bearer’s direct understanding and control” (Huber 1985, 85:227).

The main issue regulators face is a lack of expertise in their relevant technological field, complicating their ability to manage the relationship between existing regulations and a new technology.

However, if the regulator waits to reduce uncertainty about the impact of a new technology, it will probably be more difficult to effectively regulate it, since the mature technology has become entrenched in society (Bennett Moses 2013;

The precautionary principle is a method that advises a ban on any innovation which can cause significant and irreversible harm, even if the risk of that harm occurring is small, until the innovation is proven safe (Butenko and Larouche 2015;

It advocates broad guiding principles instead of precise rules in pursuit of desired regulatory outcomes, creating a more resilient regulatory system which stays connected to technological innovation (Marchant 2011;

An ex-post approach, or regulating by learning from mistakes, is poorly suited to minimizing public risk, particularly when those risks are as significant as those posed by AI development (Scherer 2016;

This creates a prisoner’s dilemma dynamic in which the stable, sub-optimal Nash equilibrium favours development speed over development safety, causing a potential regulatory “race to the bottom” (Bostrom, Dafoe, and Flynn 2017, 6).

Corporations and governments realize that it will be easier, cheaper and faster to build the first Artificial General Intelligence (AGI) than it is to build the first safe AGI, and as a result, corporations and governments are incentivised to pursue the quickest development trajectory (Armstrong, Bostrom, and Shulman 2013;

The competitive pressures create a Nash equilibrium, a stable sub-optimal outcome with regard to public risk mediation, wherein all agents pursue fast AI development (Armstrong, Bostrom, and Shulman 2013).

Securitization describes a strategic move by governments to cast issues “outside or beyond normal politics” in pursuit of national interests (Mcdonald 2008, 569), increasing “the risk that countries may put aside safety concerns” to attract and support the AI industry (Allen et al.

This recognition is reflected in both the UK’s Artificial Intelligence Sector Deal and the European Commission’s review on AI strategy, which state that if they fail to actively develop and attract the AI industry, they risk being relegated to the role of a consumer of other countries’ AI solutions (HM Government 2018;

The multinational character of corporations in the AI industry, in combination with the diffuse and discrete technical nature of AI development, makes it relatively easy for corporations to move AI development work to countries with more conducive regulatory regimes (Scherer 2016).

Concerns are already being raised that the EU’s GDPR “is putting its manufacturers and software designers at a significant disadvantage to the rest of the world” (Allen and West 2018), while a recent report on China’s new AI strategy notes that the government does not want to make the rules too strict for corporations in a way that would inhibit AI development (Ding 2018).

Such an organisation would be expected to draw on international interdisciplinary expertise to “create a framework for the regulation of AI technologies and inform the development of AI policies around the world” (Erdélyi and Goldsmith 2018, 1).

While assessing the efficacy of an international regulatory approach to AI is outside the scope of this investigation, the contemporary difficulties in global coordination do not inspire confidence that it will be an expedient solution to the pressing challenges of AI regulation (Danaher 2015).

The technical features of AI development and application exacerbate the Pacing Problem and the Uncertainty Paradox, while AI development occurs within a competitive dynamic between corporations and states wherein a “regulatory race to the bottom” is the most likely outcome (Armstrong, Bostrom, and Shulman 2013).

A well-designed system for self-regulation can foster collective action and change the incentives for individual corporations away from the choice to solely pursue development speed by increasing the certainty that their competitors are also prioritizing safety over speed.

Both industries are a source of significant public risk, which fosters the perception among industry leaders that “the future prosperity and perhaps even the survival of the industry is dependent on self-control” (Gunningham and Rees 1997, 391).

In particular, to assuage the concern that these principles merely codify existing practices or represent the lowest common denominator of safe AI development and application practices (Rappert 2011), cooperation with academic and third-party experts can ensure that their principles are aligned with both realistic and meaningful self-regulatory objectives (Campolo et al.

The success of extrinsic measures like regulation depends heavily “on how AI developers react to the measures”, while intrinsic motivation is a better predictor of a sustained commitment to shared objectives (Baum 2016;

Moreover, to gain and retain social legitimacy, the self-regulatory system needs to be transparent about its own practices to the wider public, sharing information on the processes of principle-creation, information-gathering and methods of decision making (Cohent and Sundararajantt 2017).

An empirical investigation of Responsible Care has shown that many members only joined the self-regulatory system for symbolic reasons, “free-riding” on the efforts of other members while doing little to comply with common standards (A.

AI Weekly: AI is changing the way we study the stars, grow food, and create art

Too often, technologists become wrapped up in doom-and-gloom predictions about job-stealing, prejudicial, and potentially murderous AI.

In equally uplifting news, the University of California, Berkeley on Monday unveiled a humanoid robot with a depth-sensing camera and motorized arms, all of which can be controlled with virtual reality handsets and trained to manipulate objects using AI.

Pieter Abbeel, a professor and director of the Robot Learning Lab at UC Berkeley and the roboticist leading the project, told The Verge that recent advances in machine learning made possible the new design, which has a bill of materials substantially lower than most comparable alternatives (around $5,000 versus tens of thousands of dollars).

A machine learning algorithm trained on data collected via mass spectrometry and gas chromatography yielded surprising insights, like that plants lit 24 hours a day taste superior to those which experience extended darkness.

Meanwhile, companies like Los Angeles-based Halla are using AI to generate Netflix-like recommendations for grocery, restaurant, and food delivery apps and websites, in part by tapping databases of restaurant dish, recipe, ingredient, and grocery item taste and flavor attributes.

Meanwhile, other researchers are experimenting with systems that can hallucinate foundational sketches of cats, fire trucks, mosquitos, and yoga poses, and companies like Promethean AI are employing machine learning to help human artists create art for video games.

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Existential risk from advanced artificial intelligence | Wikipedia audio article

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Tero Isokauppila: "The Healing Power of Mushrooms" | Talks at Google

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Technological singularity

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David Goldman: Will China overtake the U.S. as the world's leading superpower?

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Involuntary Response

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Existential risk from artificial general intelligence | Wikipedia audio article

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