Robots are really good at learning things like racism and bigotry

Robots are really good at learning things like racism and bigotry

  • If you tell a computer system that all white people like the color orange and then tell it to find meaningful patterns to support that, it will.
  • If you tell it that all black people own solid green t-shirts, it doesn’t dispute you, it’ll go prove you right with whatever patterns it can develop from the data it has.
  • Again, chances are you won’t run the risk of creating a bigot-bot unless your robot does something like pass judgement on people, draw conclusions based on race, or tries to resurrect phrenology.
  • That pattern can be interpreted in many ways, but in truth it only means one specific factual thing: there are less women on that website looking for truck driver jobs than men.
  • Theoretically the amount of patterns an AI could see is endless, the computer will literally continue looking for patterns until it has a command to stop, reaches a predetermined stopping point, or runs out of power.

AI systems are being exploited to “prove” the ideas of bigots. Forcing computers to provide patterns to support unscientific results is a very real problem.
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Medicine in the Age of AI

Medicine in the Age of AI
#AI #MachineLearning #DeepLearning #ML #DL #HealthTech #tech

  • I have not seen any significant use of AI in my own clinical practice during my time in Boston, but exciting developments in the last two years hold much promise.
  • One of the potential benefits when integrating AI into medical practice is improvement of clinical decision making and diagnosis.
  • The concept of using AI to provide clinical decision support systems for physicians has been studied in some medical specialties with varying degrees of effectiveness.
  • Comparisons between the paradigms of machine learning based, knowledge based, and hybrid methods have not yielded a clear model on how AI best uses clinical data to arrive at a diagnosis.
  • There is promise that Deep Learning methodology will allow for AI to train much like a medical resident does through a large data set of disease presentations.

A discussion on Dr. Michael Forsting’s article “Machine Learning Will Change Medicine” in the Journal of Nuclear Medicine.
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IBM and MIT to pursue joint research in artificial intelligence, establish new MIT–IBM Watson AI Lab

BREAKING: IBM invests $240 million to establish new AI lab w/@MIT:  @IBMResearch

  • The new lab will be one of the largest long-term university-industry AI collaborations to date, mobilizing the talent of more than 100 AI scientists, professors, and students to pursue joint research at IBM’s Research Lab in Cambridge, Massachusetts — co-located with the IBM Watson Health and IBM Security headquarters in Kendall Square — and on the neighboring MIT campus.
  • IBM and MIT plan to issue a call for proposals to MIT researchers and IBM scientists to submit their ideas for joint research to push the boundaries in AI science and technology in several areas, including:

    In addition to IBM’s plan to produce innovations that advance the frontiers of AI, a distinct objective of the new lab is to encourage MIT faculty and students to launch companies that will focus on commercializing AI inventions and technologies that are developed at the lab.

  • Both MIT and IBM have been pioneers in artificial intelligence research, and the new AI lab builds on a decades-long research relationship between the two.
  • In 2016, IBM Research announced a multiyear collaboration with MIT’s Department of Brain and Cognitive Sciences to advance the scientific field of machine vision, a core aspect of artificial intelligence.
  • Currently, the Computer Science and Artificial Intelligence Laboratory, the Media Lab, the Department of Brain and Cognitive Sciences, and the MIT Institute for Data, Systems, and Society serve as connected hubs for AI and related research at MIT.

IBM and MIT today announced that IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT. The lab will carry out fundamental artificial intelligence (AI) research and seek to propel scientific breakthroughs that unlock the potential of AI.

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The Role of Artificial Intelligence in Growing Business

  • While the merits of providing everyone with a minimum income have been debated for many years, the practicality of the government providing it to the people has been non-existent at least until recently.
  • This is because the many services that government provides already, including welfare, healthcare, and the like are taking up so much in terms of money that simply providing every person with a minimum income seems like a simpler solution.
  • What was once limited to science fiction, Artificial Intelligence (AI) has now become a part of the internet in helping businesses grow.
  • For those in the low-income bracket, the future looks bright thanks to the many avenues available to help people make money through Microsoft, Google, Tesla, and other companies dedicated to providing economic access to the power.
  • Big online companies such as Google and Microsoft for example can use their considerable pull to provide the following;

    While the idea of a secure, minimum income has been around for several decades, it may come true thanks to the internet and the ability of large online companies to provide opportunities for millions of people who otherwise would be limited in how they could earn a living.

How Can We Guarantee a Secure Minimum Income for Everyone? How can it be achieved without damaging the fabric of society?Explore the answers in my article.
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These programmers taught an AI how to understand tattoos

These programmers taught an #AI how to understand tattoos

  • The process involved using a deep-learning framework called Caffe, and feeding it data-sets with images representative of different tattoo styles.
  • Once the initial training session was complete, the AI could identify the style of a tattoo with pretty impressive accuracy.
  • While the AI isn’t implemented into the app yet (they’re still feeding it data) they intend to finish training the AI then go forward from there.
  • AI will help us to classify the remaining 250k pictures… Classification is really important for us because, based on it, we can show users personalized feeds depending on what styles they like, what artists they follow, what those artists are specialized in, etc.
  • Without AI to sort images, a person has to view each one, decide what style it represents, tag the image, and then create hashtags so that other users can find it.

A pair of developers at Tattoodo developed a neural-network capable of processing pictures of tattoos and determining the style of the ink in the images.
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Artificial Intelligence

Forms of creativity will be unleashed that we can not even imagine.

  • In the latest installment of Singularity University’s web series, Future of Everything With Jason Silva, Silva takes a look at artificial intelligence.
  • Surely to transform the world and the human race in ways that we can barely wrap our heads around,” Silva says.
  • Forms of creativity will be unleashed that we can not even imagine, and we’re going to transcend what it means to be human.

In this episode of “Future of Everything With Jason Silva,” Silva takes a look at the transformational potential of artificial intelligence.
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IT leaders’ pragmatism will be the antidote to AI scaremongering

IT leaders' pragmatism will be the antidote to #AI dystopia:  #MachineLearning #AI4socialgood

  • Every development in AI is portrayed as the forerunner to Skynet from the Terminator movies, or something from Blade Runner, Westworld or another vision of a future ruled by robot overlords.
  • Paypal founder and billionaire entrepreneur Elon Musk joined in, warning that AI represented the greatest threat to mankind.
  • Sadly, we’re probably going to have to get used to this for a few years yet, until AI becomes more mainstream, creates as many jobs as it eliminates, and starts to deliver huge benefits to businesses and society – much like new technologies have for the last 50 years.
  • We are, in many ways, starting into an age where what was once science fiction will become a reality – but just because sci-fi writers realised that dystopian visions sell more books than utopian dreams, we’ve become culturally conditioned to the idea that too much new technology is a bad thing.
  • For IT professionals, your job is to understand and explain what AI and other emerging technologies can bring to your business and your customers – and to deliver the enormous potential on offer.

Clearly we are going through the phase in the development of artificial intelligence (AI) technology where rationality and reasoned debate are replaced by science-fiction scaremongering and …
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