Tag Archives: Artificial intelligence

My Fair Data: How the Government Can Limit Bias in Artificial Intelligence

By Josh Sullivan, Josh Elliot, Kirsten Lloyd, and Edward Raff –
The rapid development of artificial intelligence (AI) holds great promise, but also potential for pitfalls. AI can change the way we live, work, and play, accelerate drug discoveries, and drive edge computing and autonomous systems. It also has the potential to transform global politics, economies, and cultures in such profound ways that the U.S. and other countries are set to enter what some speculate may be the next Space Race.

We are just beginning to understand the implications of unchecked AI. Recent headlines have highlighted its limitations and the continued need for human control. We will not be able to ignore the range of ethical risks posed by issues of privacy, transparency, safety, control, and bias.

Considering the advances already made in AI—and those yet to be made—AI is undoubtedly on a trajectory toward integration into every aspect of our lives. As we prepare to turn an increasing share of tasks and decision-making over to AI we must think more critically about how ethics factor into AI design to minimize risk. With this in mind, policymakers must proactively consider ways to incorporate ethics into AI practices and design incentives that promote innovation while ensuring AI operates with our best interests in mind. more>

How to govern AI to make it a force for good

In the interview, Gasser identifies three things policymakers and regulators should consider when developing strategies for dealing with emerging technologies like AI.
Urs Gasser – “Everyone is talking about Artificial Intelligence and its many different applications, whether it’s self-driving cars or personal assistance on the cell phone or AI in health,” he says. “It raises all sorts of governance questions, questions about how these technologies should be regulated to mitigate some of the risks but also, of course, to embrace the opportunities.”

One of the largest challenges to AI is its complexity, which results in a divide between the knowledge of technologists and that of the policymakers and regulators tasked to address it, Gasser says.

“There is actually a relatively small group of people who understand the technology, and there are potentially a very large population affected by the technology,” he says.

This information asymmetry requires a concerted effort to increase education and awareness, he says.

“How do we train the next generation of leaders who are fluent enough to speak both languages and understand engineering enough as well as the world policy and law enough and ethics, importantly, to make these decisions about governance of AI?”

Another challenge is to ensure that new technologies benefit all people in the same way, Gasser says.

Increasing inclusivity requires efforts on the infrastructural level to expand connectivity and also on the data level to provide a “data commons” that is representative of all people, he says. more>

Updates from GE

The Fix Is In: AI Is Solving The Riddle Of Smarter, Faster Maintenance
By P.D. Olson – It might seem like a cushy job to be the man or woman who works out of the carpeted offices of a power plant, coordinating field service crews who traipse out into the elements to fix, say, an idled wind turbine. But it’s far from elementary. “It’s still a judgment call,” says Scott Berg, chief operating officer of ServiceMax from GE Digital. “Dispatchers probably can’t consider all the historic factors and track record of the individual. Your ability to dispatch might be dependent on your personal knowledge of 20 people.”

But starting this year, artificial intelligence will help make some of those decisions less complex. “We call it intelligent dispatching,” Berg says.

ServiceMax leads the global industry of field service management software — an estimated $25 billion market worldwide. The ServiceMax research team is now developing algorithms that will help dispatchers pick the right repair person by scanning each individual’s work history and predicting which technician would be the quickest and most reliable at a particular task.

The new AI-driven suggestions will offer details that most people wouldn’t be able to remember, never mind calculate together with all the other parameters to consider, such as a field worker’s skill set, time available and distance to the site. “We’re running a proof of concept now,” Berg says. more>

The Future of Military Robotics Looks Like a Nature Documentary

By Gregory C. Allen – Every type of animal, whether insect, fish, bird, or mammal, has a suite of sensors (eyes, ears, noses), tools for moving and interacting with its environment (arms, beaks, wings, fins), and a high-speed data processing and decision-making center (brains).

Humans do not yet know how to replicate all the technologies and capabilities of nature, but that these capabilities exist in nature proves they are indeed possible.

Humans do not know what the ultimate technological performance limit for autonomous robotics is. But it can be no lower than the very high level of performance that nature has proven possible with the pigeon, the goose, the monkey, the mouse, or the dolphin.

The United States is far from the only country interested in these capabilities. In 2015, Russian scientists celebrated their development of a robotic “cockroach,” which they said would be an ideal platform for secretly recording conversations and taking photographs. One can easily imagine such a cockroach being outfitted with venom and an injector needle, making it an ideal platform for covert assassination as well. more> https://goo.gl/Wd1Ecv

Updates from GE

Looking For The Unknown: Artificial Intelligence Is Seeking Cancer Patterns That Have Eluded Humans
By Maggie Sieger – The use of AI in healthcare, which was one of the topics discussed at GE’s recent Minds + Machines conference in Berlin, is a fast-growing field. Scientists are using so-called “deep learning networks,” which weave together hundreds, if not thousands, of data points and process this data with multiple algorithms simultaneously, mimicking the human brain.

When crossing the street, pedestrians take into account dozens of factors, including the number and speed of approaching cars, the condition of the pavement, fellow travelers and even the shoes they are wearing or what they are carrying. Deep learning has the potential to do the same thing – but with even more data points and at speeds unmatched by humans.

They are feeding millions of data points into the cloud, including decades of colorectal data collected by national registries, thousands of MRIs and CT scans, gene panels and biomarkers. The software then looks for patterns, connections and correlations with a speed and detail unmatched by humans.

As AI becomes a more common tool in healthcare, medical schools will have to change how they train physicians to make sure they have the new capabilities, skill sets and methodologies to use AI effectively, more> https://goo.gl/2kME5a

Now it’s time to prepare for the Machinocene

BOOK REVIEW

Expressivism, Pragmatism and Representationalism, Author: Huw Price.

By Huw Price – One way or another, then, we are going to be sharing the planet with a lot of non-biological intelligence. Whatever it brings, we humans face this future together. We have an obvious common interest in getting it right. And we need to nail it the first time round. Barring some calamity that ends our technological civilization without entirely finishing us off, we’re not going to be coming this way again.

If we are to develop machines that think, ensuring that they are safe and beneficial is one of the great intellectual and practical challenges of this century. And we must face it together – the issue is far too large and crucial to be tackled by any individual institution, corporation or nation. Our grandchildren, or their grandchildren, are likely to be living in a different era, perhaps more Machinocene than Anthropocene.

Our task is to make the best of this epochal transition, for them and the generations to follow. We need the best of human intelligence to make the best of artificial intelligence. more> https://goo.gl/dHx4jd

Will Democracy Survive Big Data and Artificial Intelligence?

By Dirk Helbing, Bruno S. Frey, Gerd Gigerenzer, Ernst Hafen, Michael Hagner, Yvonne Hofstetter, Jeroen van den Hoven, Roberto V. Zicari, Andrej Zwitter – The digital revolution is in full swing. How will it change our world? The amount of data we produce doubles every year. In other words: in 2016 we produced as much data as in the entire history of humankind through 2015.

Every minute we produce hundreds of thousands of Google searches and Facebook posts. These contain information that reveals how we think and feel. Soon, the things around us, possibly even our clothing, also will be connected with the Internet. It is estimated that in 10 years’ time there will be 150 billion networked measuring sensors, 20 times more than people on Earth. Then, the amount of data will double every 12 hours.

Many companies are already trying to turn this Big Data into Big Money.

It can be expected that supercomputers will soon surpass human capabilities in almost all areas—somewhere between 2020 and 2060. Experts are starting to ring alarm bells.

One thing is clear: the way in which we organize the economy and society will change fundamentally. We are experiencing the largest transformation since the end of the Second World War; after the automation of production and the creation of self-driving cars the automation of society is next. With this, society is at a crossroads, which promises great opportunities, but also considerable risks. If we take the wrong decisions it could threaten our greatest historical achievements.

.. our freedom is disappearing slowly, but surely—in fact, slowly enough that there has been little resistance from the population, so far. more> https://goo.gl/x7HsRQ

Artificial intelligence systems more apt to fail than destroy

By David Stauth – “We’re now talking about doing some pretty difficult and exciting things with AI, such as automobiles that drive themselves, or robots that can effect rescues or operate weapons,” Thomas Dietterich said. “These are high-stakes tasks that will depend on enormously complex algorithms.

“The biggest risk is that those algorithms may not always work.”

Dietterich considers machines becoming self-aware and trying to exterminate humans to be more science fiction than scientific fact. more> http://tinyurl.com/nja5lmz

Before You Automate, Contemplate

Factory Automation with industrial robots for ...

Factory Automation with industrial robots for palletizing food products like bread and toast at a bakery in Germany, robotics (Photo credit: Wikipedia)

By Todd Brun – Faster turnovers, higher line speeds, more throughput, less operator intervention, Big Data, virtualization, “lights out” manufacturing — these are all hot topics in automation circles.

Things to contemplate:

  • Are you thinking outside the box?
  • What functions must your control system deliver?
  • Do you really understand your processes and operations?
  • How can automation support tomorrow’s workforce?
  • Location, location, location
  • Do you leverage what is working well?
  • Is flexibility engineered into your systems?
  • Are you leveraging the available knowledge and skills?

Change is relentless. Change is difficult. Change is sometimes scary. You can’t stop it, but you can embrace it and benefit from it. more> http://tinyurl.com/ohr5362

Do We Live in the Matrix?

By Zeeya Merali – Physicists can now offer us the ability to test whether we live in our own virtual Matrix, by studying radiation from space. As fanciful as it sounds, some philosophers have long argued that we’re actually more likely to be artificial intelligences trapped in a fake universe than we are organic minds in the “real” one.

So should we say yes to the offer to take the red pill and learn the truth €” or are the implications too disturbing?

But if learning that truth means accepting that you may never know for sure what’s real €” including yourself €” would you want to know? more> http://tinyurl.com/kb98qwq