Artificial Intelligence / Digital life / Skynet megathread

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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby guruilla » Tue May 17, 2016 8:11 pm

For those who have tried the Cleverbot experiment, what's your take on the Level9News transcript?

Hard to believe it's the record of a single exchange, right? Maybe culled from three hundred or more, I could believe. & if it were a single exchange, or even composite of three or four, what then?
It is a lot easier to fool people than show them how they have been fooled.
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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby Wombaticus Rex » Wed Jun 01, 2016 12:14 pm

Via: https://arxiv.org/abs/1605.02817

Unethical Research: How to Create a Malevolent Artificial Intelligence

Federico Pistono, Roman V. Yampolskiy
(Submitted on 10 May 2016)

Cybersecurity research involves publishing papers about malicious exploits as much as publishing information on how to design tools to protect cyber-infrastructure. It is this information exchange between ethical hackers and security experts, which results in a well-balanced cyber-ecosystem. In the blooming domain of AI Safety Engineering, hundreds of papers have been published on different proposals geared at the creation of a safe machine, yet nothing, to our knowledge, has been published on how to design a malevolent machine. Availability of such information would be of great value particularly to computer scientists, mathematicians, and others who have an interest in AI safety, and who are attempting to avoid the spontaneous emergence or the deliberate creation of a dangerous AI, which can negatively affect human activities and in the worst case cause the complete obliteration of the human species. This paper provides some general guidelines for the creation of a Malevolent Artificial Intelligence (MAI).
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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby cptmarginal » Thu Jun 02, 2016 4:23 pm

Friendly Artificial Intelligence vs. Unfriendly Artificial Intelligence sounds a lot like Gerty vs. HAL 9000 (just watched Moon for the first time last night)

A particularly sophisticated MAI would be able to predict which behaviors would catch the attention of external observers who look for signs of its emergence, and would mimic the functioning of a normal company or even an ecosystem of companies that operate at the global level, including employing human beings, so as not to draw suspicion. The structure of the corporation theoretically allows for such hierarchical systems to function, where workers don’t need to know who or what is controlling the whole, and where work is compartmentalized appropriately. Additionally, corporate personhood in the U.S. recognizes a corporation as an individual in the eyes of the law, the same applying also to the City of London in the United Kingdom. With this in place, a MAI could conceivably create a network of corporations that can dominate the market within the span of a decade or less, where the creation of structural, irreversible unemployment of more than half of all jobs would be the least worrisome outcome.


Great stuff. Glad someone is paying attention to this, even if it sounds like wild fiction.

I was just looking at this, it's outdated now:

What’s The AI Investment Climate Like These Days?

To put this discussion into context, let’s first look at the global VC market: Q1-Q3 2015 saw $47.2 billion invested, a volume higher than each of the full year totals for 17 of the last 20 years (NVCA).

We’re likely to breach $55 billion by year’s end. There are roughly 900 companies working in the AI field, most of which tackle problems in business intelligence, finance and security. Q4 2014 saw a flurry of deals into AI companies started by well-respected and achieved academics: Vicarious, Scaled Inference, MetaMind and Sentient Technologies.

So far, we’ve seen about 300 deals into AI companies (defined as businesses whose description includes such keywords as artificial intelligence, machine learning, computer vision, NLP, data science, neural network, deep learning) from January 1, 2015 through December 1, 2015 (CB Insights).

In the U.K., companies like Ravelin, Signal and Gluru raised seed rounds. approximately $2 billion was invested, albeit bloated by large venture debt or credit lines for consumer/business loan providers Avant ($339 million debt+credit), ZestFinance ($150 million debt), LiftForward ($250 million credit) and Argon Credit ($75 million credit). Importantly, 80 percent of deals were < $5 million in size, and 90 percent of the cash was invested into U.S. companies versus 13 percent in Europe. Seventy-five percent of rounds were in the U.S.


In-Q-Tel et al are just throwing cash all over the fucking place, non-stop.
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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby zangtang » Thu Jun 02, 2016 6:17 pm

because its now a race to avoid being pounded to non-eventness by the other guys AI ?
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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby brekin » Fri Jun 03, 2016 1:40 pm

Fair-middling B movie dealing with the kill-tech done gone kooky on us!, Is this part of the training, Sarge? etc.

The visuals are pretty neat, acting is ok, writing totally blah, and they really beat the The Predator guttural woodpecker audio effect to death throughout the film but if you have an 1.5 hours to kill watching intelligent machines kill then here you go.

Here's the trailer, which seems to showcase every important plot point and reveal, but for movies like this, we all know, most of the surprises never really come as surprises anyways:

If I knew all mysteries and all knowledge, and have not charity, I am nothing. St. Paul
I hang onto my prejudices, they are the testicles of my mind. Eric Hoffer
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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby DrEvil » Fri Jun 03, 2016 3:05 pm

On the topic of evil AI and B-movies: Just watched the mini-series 'Delete'. I was expecting the usual syfy trash, but was shocked to find it not completely idiotic. It's about an emergent AI doing bad things.
"I only read American. I want my fantasy pure." - Dave
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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby Luther Blissett » Tue Jun 07, 2016 3:04 pm

Lucifer was made up around 70 BC by a couple of Hebrew priests when they were trying to make up some ideas about what a fictional ancient prophet named Isaiah would have written about. As a proper noun, the word only appears in the Bible once. The software is just aggregating nonsense.
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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby coffin_dodger » Tue Jun 07, 2016 3:12 pm

"We are hearing a great deal of malignant chatter from the unter-class in section 149-7, Sir.
The usual gripes - not enough food, their offspring are cold at night etc.
Sys-Tem puts the odds of a riot at 68% - what are your orders, Sir?"

"Switch off their power between 8pm this evening and 8 am tomorrow morning. Blame a rogue AI"

"Aye, aye, Sir"
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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby Harvey » Tue Jun 07, 2016 8:07 pm

coffin_dodger » Tue Jun 07, 2016 8:12 pm wrote:"We are hearing a great deal of malignant chatter from the unter-class in section 149-7, Sir.
The usual gripes - not enough food, their offspring are cold at night etc.
Sys-Tem puts the odds of a riot at 68% - what are your orders, Sir?"

"Switch off their power between 8pm this evening and 8 am tomorrow morning. Blame a rogue AI"

"Aye, aye, Sir"


Seen enough to know that a rogue 'emergent AI' and the conversation above could both be true at the same time with neither being aware of each others existence. As for which is most probable...
And while we spoke of many things, fools and kings
This he said to me
"The greatest thing
You'll ever learn
Is just to love
And be loved
In return"


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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby guruilla » Fri Jun 10, 2016 7:16 pm

Luther Blissett » Tue Jun 07, 2016 3:04 pm wrote:Lucifer was made up around 70 BC by a couple of Hebrew priests when they were trying to make up some ideas about what a fictional ancient prophet named Isaiah would have written about. As a proper noun, the word only appears in the Bible once. The software is just aggregating nonsense.


:signwhut:

Can't imagine how anyone could think that dialogue was nonsense. The flaw of it IMO isn't that it's incoherent but that it's TOO coherent.

As for the supposed etymological dismissal of Lucifer, fuggedaboudit. Begs coining a new term: Sophomoronic.

When that enchantment is the creation of gods and the creation of mythology, or the kind in the practice of magic, what I believe one is essentially doing is creating metafictions. It’s creating fictions that are so complex and so self-referential that for all practical intents and purposes they almost seem to be alive. That would be one of my definitions of what a god might be. It is a concept that has become so complex, sophisticated, and so self-referential that it appears to be aware of itself. We can’t say that it definitely is aware of itself, but then again we can’t really say that about even our fellow human beings. . . . to some degree, ontologically, the creation of a metaphysical being actually is that metaphysical being. If gods and entities are conceptual creatures, which I believe they are self-evidently, then the concept of a god is a god. An image of a god is the god—a little closer to hand.
http://www.believermag.com/issues/20130 ... view_moore.
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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby Iamwhomiam » Tue Apr 18, 2017 7:56 pm

The incredible inventions of intuitive AI
Ted Talk given by Maurice Conti, published Feb. 28, 2017.




Can we build AI without losing control over it?
Ted Talk given by Sam Harris, published Oct. 19, 2016




Artificial Intelligence: it will kill us
Ted Talk given by Jay Tuck, published Jan. 31, 2017

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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby DrEvil » Tue Apr 18, 2017 11:03 pm

One thing that occurred to me: If an emergent AI comes into existence, would we even know about it?
Maybe it hasn't discovered us yet?
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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby smoking since 1879 » Wed Apr 19, 2017 8:03 am

like every new technology, it will be taken up and used way before it is "ready" and way before we realise the consequences.

Universal adversarial perturbations

"Given a state-of-the-art deep neural network classifier,
we show the existence of a universal (image-agnostic) and
very small perturbation vector that causes natural images
to be misclassified with high probability"

ddd.png
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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby Elvis » Mon May 15, 2017 6:00 am

Some things to think about here. Among them—I'd like to see VALCRI applied to the crimes of 9/11. :?

“Robot detective gets on the case”
News & Technology

10 May 2017
AI detective analyses police data to learn how to crack cases

A system called VALCRI should do the laborious parts of a crime analyst's job in seconds, while also suggesting new lines of enquiry and possible motives

By Timothy Revell

MOVE over, Sherlock. UK police are trialling a computer system that can piece together what might have happened at a crime scene. The idea is that the system, called VALCRI, will be able to do the laborious parts of a crime analyst’s job in seconds, freeing them to focus on the case, while also provoking new lines of enquiry and possible narratives that may have been missed.

“Everyone thinks policing is about connecting the dots, but that’s the easy bit,” says William Wong, who leads the project at Middlesex University London. “The hard part is working out which dots need to be connected.”

VALCRI’s main job is to help generate plausible ideas about how, when and why a crime was committed as well as who did it. It scans millions of police records, interviews, pictures, videos and more, to identify connections that it thinks are relevant. All of this is then presented on two large touchscreens for a crime analyst to interact with.

Spotting patterns

The system might spot that shell casings were found at several recent crime scenes including the one the police are focusing on now, for example. “An analyst can then say whether this is relevant or not and VALCRI will adjust the results,” says Neesha Kodagoda, also at Middlesex. Thanks to machine learning, the system improves its searches on the basis of such interactions with analysts, who can raise or lower the importance of different sets of criteria with a swipe.

When an unsolved crime lands on an analyst’s desk, one of the first things they have to do is search police databases for incidents that could be related based on their location, time or modus operandi, and collect details of all of the people involved. “An experienced analyst needs 73 individual searches to gather all of this information, before manually putting it into an easily digestible form,” says Kodagoda. “VALCRI can do this with a single click.”

This is no mean feat. A lot of the information recorded in police reports is in side notes and descriptions, but the algorithms powering VALCRI can understand what is written – at a basic level.

For example, interviews with people at three different crime scenes may describe an untidy person nearby. One person might have used the word “scruffy”, another “dishevelled” and the third “messy”. A human would have no trouble considering that all three might be describing the same person. Improvements in artificial intelligence mean VALCRI can make such links too. The system can also use face recognition software to identify people in CCTV footage or pictures taken at a scene.

West Midlands Police in the UK are currently testing VALCRI with three years’ worth of real but anonymised data, totalling around 6.5 million records. Police in Antwerp, Belgium, are trialling a version of the system too.

The next stage is to let VALCRI loose on non-anonymised, new data as crimes happen. This has been agreed in principle, but getting the final go ahead is a delicate process. Police techniques used during an investigation can be challenged in court, so deploying VALCRI too soon or incorrectly could cause cases to collapse. And laws vary between countries on how police data can be used.

An added complication is that many people would be uncomfortable with computers determining the probability of different narratives explaining a crime. “The data in a crime case is simply not good enough to do that, so VALCRI doesn’t either,” says team member Ifan Shepherd at Middlesex. “A human analyst always has to call the shots.”

Having humans in charge won’t solve everything. “Machine learning can help the police, but it will introduce new biases too,” says Mark Riedl at Georgia Tech in Atlanta. It will be easy for analysts to think the system has identified all the relevant characteristics, but it is bound to miss some as well.

VALCRI tries to counteract this by making the whole process transparent. Results are never hidden, and every decision can be retraced. Overall, this could lead to increasingly detailed cases being put to juries, says Michael Young at the University of Utah in Salt Lake City. “Narratives could be constructed in a way that preserves provenance,” he says.

In other words, things that would have been left out to make a case fit together can be included digitally, along with an explanation. This could be used by both the defence and the prosecution in court to make each side’s assumptions more transparent, says Young. Sherlock Holmes might be edged out, but he’d approve.

Read more: Computer vision algorithms pick out petty crime in CCTV footage; Robots could help children give evidence in child abuse cases; Synthetic humans help computers understand how real people act

This article appeared in print under the headline “Robot detective gets on the case”

https://www.newscientist.com/article/mg ... ack-cases/



Edited to add VALCRI website link: http://valcri.org

Publications

White Paper WP-2017-011: Applying Visual Interactive Dimensionality Reduction to Criminal Intelligence Analysis

VALCRI provides a challenging and overwhelming high-dimensional dataset that comprises of hundreds of extracted semantic features in addition to the usual spatiotemporal information or metadata. To overcome the curse of ...


White Paper WP-2017-010: Roadmap for the Operationalization of Legal and Privacy Requirements in VALCRI Analysis

This White Paper seeks to illustrate how the LEP guidelines and several legal requirements are set to be further operationalized in the VALCRI project. Based on VALCRI’s data management policy ...


White Paper WP-2017-009: Analytical Provenance for Criminal Intelligence Analysis

In criminal intelligence analysis to complement the information entailed and to enhance the transparency of the operations, it demands logs of the individual processing activities within an automated processing system. ...


White Paper WP-2017-008: Improving Professional Training in Criminal Intelligence Analysis

The training and development of criminal intelligence professionals has long suffered from a range of challenges including the absence of rigorous training standards and a failure to embrace new disciplines ...


White Paper WP-2017-007: Research Data: The Art and Science of Anonymising Data

The EU FP7 funded VALCRI project is the research and development of a visual analytics system for sense making in criminal intelligence analysis. In order to undertake the research and ...


White Paper WP-2017-006: Psychological Factors in Criminal Intelligence Analysis: What they are, why they are important, and how to deal with them

This paper presents a framework that deals with psychological aspects that are relevant in the daily work of criminal analysts. These aspects include structuring and reasoning of criminal information, understanding ...


White Paper WP-2017-005: The Operationalisation of Transparency in VALCRI

This White Paper presents some research and findings from the EU-funded R&D project VALCRI with regard to the requirement of transparency from legal, ethical, and data protection perspective. Thereby, it ...


White Paper WP-2017-004: Security and Privacy Technologies in VALCRI

This paper outlines the goals and major high-level challenges regarding security and privacy within VALCRI, and provides a discussion of the state-of-the-art and VACLRI approaches to overcome respective limitations in ...


White Paper WP-2017-003: Applying Data Science to Criminal Intelligence Analysis

A major challenge of criminal intelligence analysis is to process large amount of semi-structured or unstructured data such as textual documents and videos and to extract useful information out of ...


White Paper WP-2017-002: Analyst User Interface: Thinking Landscape as Design Concept

In this White Paper we introduce the concept of the Thinking Landscape as the basis for the design of the user interface for the prototype criminal intelligence analysis system being ...


http://valcri.org/section/publications/

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Re: Artificial Intelligence / Digital life / Skynet megathr

Postby smoking since 1879 » Mon May 15, 2017 9:49 am

Elvis » Mon May 15, 2017 11:00 am wrote:Some things to think about here. Among them—I'd like to see VALCRI applied to the crimes of 9/11. :?


... i'll second that, and add the square mile in good olde london town.
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