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Ai Ethics, Future, Life


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#1 cre8pc

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Posted 31 October 2016 - 11:04 AM

I found myself sucked into the topic of AI over the weekend.  AI was a popular topic at PubCon and I wasn't sure why other than several keynote speakers seemed to target their talks to people under 28 years old.

 

The takeaways were that AI and virtual reality, and mobile are THE things we should be focused on and if we're not, we're not going to survive the future.  One of them pointed out that today's young people have never known life without computers, video games and cell phones.  

 

Advanced technology has existed since WWII, but the public is not allowed to know what's already out there, or where it is located. There are volumes of books and now videos out there filled with declassified documents, testimonies, verbal histories, video interviews, photos, etc. I'm not talking about conspiracies or theories.  I'm referring to the slow release of actual evidence and the increase in "whistle blowers" who want to get their experiences out before they pass away.  (I'm the daughter of an engineer and inventor with a very high IQ who was there as well.)  

 

Despite the warnings that AI may be dangerous in the hands of dangerous people, countries and organizations, there seems to be a movement that wants it badly.  I don't like anything that removes humanity from humans, so I'm always skeptical.

 

This article may be of interest.

 

Top 9 ethical issues in artificial intelligence

#2 iamlost

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Posted 31 October 2016 - 12:16 PM

Once more unto the breach, dear friends, once more...

 

Please stop exacerbating the problem: NONE of that is currently - or for the foreseeable future - AI, rather it is: machine learning or machine learning systems.

See also my rant at https://www.cre8asit...oogle/?p=359811

 

Let's simplify things and remove the hype:

1. if humans make it it will be prone to error and bias.

2. the info-tech revolution is, will continue to be, as disruptive as was the industrial revolution.

3. without enforced universal human rights practicable universal AI rights can not exist.

4. AI does NOT yet exist, machine learning systems exist; until we can faultlessly C3I MLSes AI potentiality will remain critically flawed.

The End.

For the moment.

 

Machine learning systems exist, they are promulgating, and they are largely unregulated black boxes. I expect that MLSes will cause enough grief that regulation will follow years behind the curve. As I have seen no evidence of AI or what even AI might actually turn out to be that I withhold comment and enjoy the commentary written as science fiction these last hundred years...



#3 cre8pc

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Posted 31 October 2016 - 01:03 PM

Meh.

 

Have you seen WestWorld on HBO?  Now THAT is some fun crazy stuff...  :dazed:



#4 bobbb

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Posted 01 November 2016 - 12:19 PM

As is usual, security protocols, or "evil genies" as in part 7 of the article, will be the last thing on everyone's mind. The rush to get to production will ensure this. "It works, get it out". Those who created the Internet never had security in mind.
 

Imagine an AI system that is asked to eradicate cancer in the world. After a lot of computing, it spits out a formula that does, in fact, bring about the end of cancer – by killing everyone on the planet.

From what I read, last week's DDoS was mainly from unsecured IoT devices and/or devices with default userid/pwds.

http://www.reuters.c...r-idUSKCN12L1ME

https://www.theguard...ernet-of-things

There was an article here a while ago (I think) about someone who made an Internet census of compromised or vulnerable gadgets using just devices with default userid/pwds which he infected then uninfected. That paper is still online internetcensus2012.bitbucket.org/paper.html



#5 Grumpus

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Posted 02 November 2016 - 03:08 AM

 

AI was a popular topic at PubCon and I wasn't sure why

 

RankBrain is probably why. 

 

Earlier this year, I spent a good amount of time trying to explain to some of my clients about everything that was going on with the RankBrain/Hummingbird roll out. I'm lucky, I suppose, because there is really nothing new going on there - it is stuff Google has been trying to do for 15 years. This made it fairly easy for me to look at all the tech notes and speculation, sift through it, and figure out what was happening - and what to do about it. Interestingly enough, the way to thrive in the new era of SEO is to follow decade old advice from myself and some other folks right here at Cre8asite.

 

There will always be interest in things that people find it difficult to understand. After all, it's human nature to try to make sense of things.

 

 

Have you seen WestWorld on HBO?

 

I haven't watched this yet, but the original movie is one of my favorites. My parents were never really into science fiction, so my exposure to it was limited until I started finding it myself in used book stores. I'm fairly certain that the only reason I ever saw this movie was because my Mom had a crush on James Brolin.

 

Michael Crichton (the creator of Westworld) has a long and glorious history of taking powerful questions about humankind's quest for knowledge and the potential dangers and turning them into popular movies. I tend to find most of them unsatisfying (especially Jurassic Park) because they ask the questions, but then only show us trying to survive the repercussions with grand action and adventure. There's really very little exploration of the original question. I think my favorite move of his was Looker - about making the perfect TV commercial that would make everyone want to buy whatever was being sold.

 

None of the warnings, ideas, and goals have changed over the years, though. In my life, there is a sort of new surge in these ideas happening now and then there was one again back in the late 70's and early 80's as home computing became reality. The 60's was a great time for science fiction which explored these ideas - probably fueled by things coming out of the Space Race. The late 40's and early 50's gave us another surge, fueled by nuclear science and the start of the Cold War. The ideas of the dangers of our quest for knowledge go back much further though - probably to the dawn of time. I suppose the first time it became popularized would have to be Mary Shelley's Frankenstein (also considered to be the first Science Fiction novel - at least in the terms of how we look at science fiction today).

 

I could go on and on in this topic - it's one that has always fascinated me. I won't continue to bore you all with it.

 

Suffice it to say, our quest for these types of things is not going to end any time soon. Mankind is inherently lazy. As such, we have always invested a lot of time in trying to make things easier. We started by making crude tools and it has simply (and quite logically) evolved into what we're seeing now.

 

G.



#6 cre8pc

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Posted 02 November 2016 - 10:53 AM

RankBrain is probably why. 

 

 

When the Google Rep refers to that "black box" where "we no longer have any idea what it's doing", I just throw up my hands in frustration because in the land of Google Make Believe, SEO's will find magical fairy dust to sprinkle out to every unsuspecting site owner.

 

WestWorld is just plain fun but it does contain the same messages the same as 2001 did for example, where computers take over. The creator of WestWorld believed he could create consciousness, which is what HAL was able to do.  There are lots of other movies/books that warn of the same thing.  Some of our favorite shows from the SciFi cable station are on robots that we have gulped up on Netflix.

 

Somewhere I saw the point that self driving cars would reduce the number of accidents.  That stuck with me, since I pretty much hate the idea of not being able to drive and depending on a computer.  

 

It's the ethics that humans are in no way ready to tackle.  We can't be ethical in our present human forms.  What could possibly be more insane that letting us create ethical computers?  Do any investigation into classified military stuff and you will find a treasure trove of technology already developed using machine learning (I will behave and not call it AI). Nano tech. Computer chips planted into humans. Spy technology that learns and makes decisions.  It's not all going to be to help us but I wish it was.  I'd love cures for diseases, and technology that will make me 28 again.

 

You laugh. :saywhat:


Edited by cre8pc, 02 November 2016 - 10:56 AM.


#7 Grumpus

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Posted 02 November 2016 - 12:28 PM

Have you watched "Person of Interest"? (The full run is now on Netflix, btw) - it's a great show that explores these ideas - humans teaching ethics to AI, and then realizing the flaws and Catch-22's of ethics in general. That's deep in the heart of the show, but on the outside, it's fun action/adventure (JJ Abrams Style) to boot.



#8 bobbb

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Posted 02 November 2016 - 01:01 PM

What a coincidence and point 9 of the article

9. Robot rights. How do we define the humane treatment of AI?


I just happened to watch Star Trek TNG this week "The Measure of a Man" where there was a trial about the rights of the android Data. In the end he (and not it) was declared to have rights like humans and was not just the property of Starfleet.

 

https://en.wikipedia...ext_Generation)


Edited by bobbb, 02 November 2016 - 01:02 PM.


#9 cre8pc

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Posted 17 November 2016 - 05:29 PM

When I see AI in a headline, I go to see if it is something I can post here to ruffle up "It's not AI Kim" iamlost  B:)

 

This is Google not doing AI. It's machine learning. Machine Learning. Not AI.  (I am not drinking.)

 

Google can help. It just launched an AI Experiments site that puts machine learning to work in a direct (and often entertaining) way. The highlight by far is Giorgio Cam -- put an object in front of your phone or PC camera and the AI will rattle off a quick rhyme based on what it thinks it's seeing. It's surprisingly accurate, fast and occasionally chuckle-worthy.

 

Google AI experiments help you appreciate neural networks



#10 iamlost

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Posted 24 December 2016 - 02:12 PM

I feel like rambling so I'll bite (again) on this shiny that Kim loves to dangle...

I'm going to put this about as simply as I know how:
Machine learning is a method of data analysis via automated analytical model building. Machine learning algorithms can identify 'hidden' insights via iterative learning - the more times it repeats an action the more it improves the control signal(s).

What this means, in reality, is that an algorithm can provide different results based on inputs.
For example, all those 'recommended for you' lists/carousels on Amazon, FaceBook, Netflix et al. The more things you buy/watch the more the algorithm 'learns' and improves the control signal attached to your personalisation account/'knowledge' (perfection would be each person only buying/watching from the recommendation list). A subsidiary control signal being that based on all people who watched/bought a particular something - and then, you, a new customer does - it can provide a generalised recommendation list 'just for you'.

I (and other webdevs) have been doing similar to provide 'personalised' contextual content for years based simply on past traffic from a given referrer. And I've written here at Cre8 about various aspects of my journey over the years. See The Living Adapting Site, Cre8, 14-October-2015, for the latest (public) iteration.
Note: and Will Context Fell Google?, Cre8, 09-May-2012 for the philosophical underpinnings of my endeavours.

And so have most of the ad networks.
 
The so called 'hidden' insights (see mention at beginning) are simply the ability through iteration of recognising existing patterns hidden in masses of data aka better filtering of signal from noise. The algorithms are highly specific if complex, i.e. drive car, play Go. What they are NOT is generalised. Neither iteration nor the application from memory is actual intelligence; if it were Babbage's mechanical Analytical Engines would qualify, all since being simply a matter of degree, not yet of kind.

Neural networks are quite fascinating, primarily for two reasons:
1. they frequently fail to learn.
Note: these rarely get publicly reported, success is what garners funding.
2. often what happens between input and output is unknown; the content/status of particular nodes is frequently a mystery.

The latest version, the differentiable neural computer (DNC), combines learning/pattern recognition and long term complex data structure (often graphs) differentiable (function whose derivative exists at each point) memory (how's your calculus?). However amazing, and it is, DNC results remain constrained within it's specific training/learning aka having learned to navigate rapid transit does not (yet) allow the leap to a walk through the park or down city sidewalks.

All that said, it's an utterly fascinating subject and, for some of us, a highly profitable competitive advantage. Kim, of course, is more concerned about ethical behaviour than actual usage - and that I'm afraid has little to do with the programs and much with the programmers and the user of the programs. Machines are neither intelligent nor sentient. Ethics about their composition and use is, currently, and for the foreseeable future, a matter of the ethics of the people involved. Based on a typical gradient 10-20% actively take ethics into account, 10-20% actively don't, and 60-80% are oblivious until frightened and then follow the loudest voice over the metaphoric cliff.

At this point in time the problem we face is NOT whether there is general artificial intelligence but rather whether there is general human intelligence. I tend to think not.
Bah Humbug.

Progress doesn't come from early risers -- progress is made by lazy men looking for easier ways to do things.
---Robert Heinlein, Time Enough for Love



#11 cre8pc

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Posted 27 December 2016 - 11:06 AM

At this point in time the problem we face is NOT whether there is general artificial intelligence but rather whether there is general human intelligence. I tend to think not.

 

 

Indeed.



#12 cre8pc

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Posted 05 April 2017 - 08:22 AM

Dangling a carrot  :rolleyes:

 

For all of humanity’s scientific, economic and artistic achievements, we have neglected this ultimate self-improvement project, Harari said. Our bodies and brains, after all, still run on the same hardware and software that evolved some 200,000 years ago.

Alphabet’s GOOG, +0.14% GOOGL, +0.11% Google already has a unit devoted to overcoming death, Harari noted. 

 

 

How upgrading humans will become the next billion-dollar industry

#13 bobbb

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Posted 05 April 2017 - 10:40 AM

"Resistance is futile" -- Locutus of Borg



#14 wiser3

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Posted 05 April 2017 - 08:07 PM

This Google unit devoted to overcoming or curing death has been popping up a lot lately. It's a misleading tag line that is really getting under my skin. Goggle and every other sane person on the planet realizes we are no where near eliminating death. Dig a little deeper into the actual Google literature, instead of the edited bits that keep getting copy/pasted from various sensationalist locations, and you'll discover the real goals of the unit.

 

The units goal is to research the underlying causes of ageing and develop ways to combat them with the goal of increasing healthspan. There is no point to increasing lifespan if you spend the last 30 years hooked up to machines or confined to a wheelchair in a vegetative state. I think most of us can agree aging is only worthwhile if your healthy and active.

 

Besides, if people stopped dying where would put them all? Nature would surely correct that problem when we run out food and kill the planet by pure numbers. As it is were already killing the planet largely due to overpopulation. Half of all the nutrients produced on Earth are eaten by just one species.



#15 bobbb

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Posted 05 April 2017 - 08:21 PM

Half of all the nutrients produced on Earth are eaten by just one species.

And there was a study or documentary on how much food is actually wasted in North America by dumping it into the garbage. Good food not rotten stuff.

 

http://news.national...science-ngfood/

At 2.8 trillion pounds, that's enough sustenance to feed three billion people. In the United States, the waste is even more egregious: More than 30 percent of our food, valued at $162 billion annually, isn't eaten

Edited by bobbb, 06 April 2017 - 10:02 AM.


#16 glyn

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Posted 07 April 2017 - 01:53 PM

Longer lives, more clicks.

#17 bobbb

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Posted 07 April 2017 - 06:31 PM

More ads for adult diapers





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