Mind Matters News and Analysis on Natural and Artificial Intelligence

CategoryMachine Learning

Personal Bitcoin Wallet with euro coins
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Author
Jonathan Bartlett
Date
September 13, 2018
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How Bitcoin Works: The social value of trust

Jonathan Bartlett
September 13, 2018
The idea of employing such a game to guarantee validity in a trustless environment is nothing short of groundbreaking. It is an amazing accomplishment, and I am impressed by it more each time I think about it. However, it does have some drawbacks, which, I think, will ultimately lead to its demise. Read More ›
bird-peak-animal-graffiti-owl-painting-1070252-pxhere.com
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Author
Mind Matters
Date
September 12, 2018
Categorized
Ethics, Machine Learning, Social Factors
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Twitter doesn’t just seem out of control

It actually is.
Mind Matters
September 12, 2018
Ethics, Machine Learning, Social Factors
Social media may be changing the world more than we think. And we may need some social leadership in fighting back against Twitter mobs. It probably won’t emerge from within because bullies are usually cowards. Read More ›
parker-johnson-779902-unsplash
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post
Author
Denyse O'Leary
Date
September 11, 2018
Categorized
Events, Machine Learning, Social Factors
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Google branches out into politics

Unfortunately, the only political model it would likely know is: One-party state
Denyse O'Leary
September 11, 2018
Events, Machine Learning, Social Factors
The unchallenged manipulation of search engine results during elections is a new phenomenon made possible by the domination of the internet by a few big players. Read More ›
owen-beard-786618-unsplash
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Author
Mind Matters
Date
September 10, 2018
Categorized
Machine Learning, Social Factors
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How do robots “care”?

Emotional robots’ cameras and sensors respond to your facial expressions, tone of voice, and movements
Mind Matters
September 10, 2018
Machine Learning, Social Factors
Critics of the emotional robotics industry say that the view of emotions (assumed in the industry to be only six) is oversimplified and that the robots are likely to promote stereotypes. Read More ›
jaredd-craig-744902-unsplash
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post
Author
Michael Egnor
Date
September 8, 2018
Categorized
Machine Learning
Tagged

Can machines really learn?

A parable of a book that learned
Michael Egnor
September 8, 2018
Machine Learning
Machine learning is a powerful and important tool that is likely to be of great value (and perhaps great risk) to man. Machines can be designed to change with time but it is man, and only man, who learns. Read More ›
George Montañez
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post
Author
Mind Matters
Date
September 7, 2018
Categorized
Artificial Intelligence, Events, Machine Learning, Natural Intelligence
Tagged

What is learning anyway?

Machine learning specialist George Montañez reflects on the question in a video excerpt from the CNAI gala
Mind Matters
September 7, 2018
Artificial Intelligence, Events, Machine Learning, Natural Intelligence
Can we make approximations that are so close to ourselves that the fact that they are approximations no longer matters? Read More ›
Building a better future
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post
Author
Jonathan Bartlett
Date
September 6, 2018
Categorized
Artificial Intelligence, Machine Learning, Social Factors
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“Artificial” Artificial Intelligence

What happens when AI needs a human I?
Jonathan Bartlett
September 6, 2018
Artificial Intelligence, Machine Learning, Social Factors
Artificial intelligence often fails at crucial points. It must then be supplemented by human intelligence. Many software systems that look to their users like pure advanced artificial intelligence hide a lot of human effort behind a technological mask. Read More ›
kaleb-kendall-209302-unsplash
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post
Author
Eric Holloway
Date
September 4, 2018
Categorized
Ethics, Machine Learning, Social Factors
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Slaughterbots: How far is too far?

And how will we know if we have crossed a line?
Eric Holloway
September 4, 2018
Ethics, Machine Learning, Social Factors
A greater focus should be on restoring the foundations of our nation over building superweapons. And the key foundation is all human beings' right to life. Read More ›
Team welding Robot movement Industrial automotive part in factory
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Author
Denyse O'Leary
Date
September 1, 2018
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Karl Marx’s Eerie AI Prediction

He felt that capitalism would fall when machines replaced human labor
Denyse O'Leary
September 1, 2018
Because Marx held that the value of goods resided in the labor required to produce them, if goods were produced by automatons, without human labor, the economy would fall apart and capitalism would fail. Read More ›
Pile of colorful children’s alphabet wooden block toys
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Author
Mind Matters
Date
August 31, 2018
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Imagining life after Google

Reviewers of George Gilder's new book weigh in
Mind Matters
August 31, 2018
If we have simply taken the big software, hardware, and social media companies who dominate our lives for granted, the reactions from the business world to Life after Google: The Fall of Big Data and the Rise of the Blockchain Economy should give us a lot to think about. Read More ›
jehyun-sung-477894-unsplash
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Author
Denyse O'Leary
Date
August 30, 2018
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Robogeddon!! Pause.

Wait. This just in: AI is NOT killing all our jobs
Denyse O'Leary
August 30, 2018
Jay Richards, author of The Human Advantage: The Future of American Work in an Age of Smart Machines,sees it as more of a retooling than a meltdown. But retooling does mean change, work, cost, and risk. Read More ›
Lady justice, themis, statue of justice on sky background
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Author
Denyse O'Leary
Date
August 25, 2018
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Ethics for an information society

Because machines can’t learn to solve their own ethical problems
Denyse O'Leary
August 25, 2018
AI (machine learning) was probably faster and cheaper but the whole point of the system was supposed to be justice which, whatever the explanation, proved too difficult to calculate… Read More ›
Chinese crowd
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Author
Denyse O'Leary
Date
August 25, 2018
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AI tools for mass manipulation?

Machine learning can unleash a perfect storm of malice, experts warn
Denyse O'Leary
August 25, 2018
In 2017, a group of 26 AI researchers got together at Oxford and created a report which offers a number of examples of malicious technologies of the near future. Read More ›
Close-up Shot of Hacker using Keyboard. There is Coffee Cups and Computer Monitors with Various Information.
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Author
Denyse O'Leary
Date
August 20, 2018
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Sometimes the ‘bots turn out to be humans

That “lifelike” effect was easier to come by than some might think
Denyse O'Leary
August 20, 2018
Companies sometimes pretend to be using AI or machine learning when they are actually using human employees for various reasons. One reason is that they have promised potential investors more high tech than they can deliver. Sometimes, as we learned recently at The Guardian, it gets a bit sticky... Read More ›
Biometric facial recognition on smartphone. Unlock smartphone as it scans his face.
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Author
Denyse O'Leary
Date
August 20, 2018
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Will AI liberate or enslave developing countries?

Perhaps that depends on who gets there first with the technology
Denyse O'Leary
August 20, 2018
Karl D. Stephan: Zimbabwe, an African country well-known for its human-rights abuses, has received advanced Chinese AI technology from a startup company in exchange for letting the firm have access to the country’s facial-recognition database. So China is helping the government of Zimbabwe to keep tabs on its citizens as well. Read More ›
kevin-364843-unsplash
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Author
Jonathan Bartlett
Date
August 13, 2018
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Who creates information in a market?

Do exchange-traded funds (ETFs)' algorithms make personally gathering information obsolete?
Jonathan Bartlett
August 13, 2018
Algorithmic strategies can only be as good as the information that goes into them.  Ignoring how the information is created causes us to misunderstand the dynamics of value creation.  Algorithms can leverage information, they can’t create it. Read More ›
Cropped shot of call center operator in headset working and talking with client
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post
Author
Denyse O'Leary
Date
August 11, 2018
Categorized
Artificial Intelligence, Machine Learning, Natural Intelligence
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Why machines can’t think as we do

As philosopher Michael Polanyi noted, much that we know is hard to codify or automate
Denyse O'Leary
August 11, 2018
Artificial Intelligence, Machine Learning, Natural Intelligence
Human life is full of these challenges. Some knowledge simply cannot be conveyed—or understood or accepted—in a propositional form. For example, a nurse counselor may see clearly that her elderly post-operative patient would thrive better in a retirement home. But she cannot just tell him so. Read More ›
hugues-de-buyer-mimeure-350387-unsplash
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Author
Denyse O'Leary
Date
August 9, 2018
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Why can’t machines learn simple tasks?

They can learn to play chess more easily than to walk
Denyse O'Leary
August 9, 2018
If specifically human intelligence is related to consciousness, the robotics engineers might best leave consciousness out of their goals for their products and focus on more tangible ones. Read More ›