Human-AI Decision Systems

Irving Wladawsky-Berger

I recently read The Human Strategy , a very interesting article on Human-AI decision systems by MIT Media Lab professor Sandy Pentland. Perhaps the most critical function of any organization or society is its decision systems,” wrote Pentland. “In

Systems thinking & complexity

Dave Snowden

The idea of systems and thinking systematically, about the properties of the whole being different from the parts and the dependency on interaction between system elements has been around for a long time. But general systems theory traces back to the start of the twentieth century.

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Never Under-Estimate the Immune System

John Hagel

Every large and successful institution has an immune system – a collection of individuals who are prepared to mobilize at the slightest sign of any “outside” ideas or people in order to ensure that these foreign bodies are neutralized and that the existing institution survives intact and can continue on course. In more stable times, institutional immune systems are very effective at keeping institutions focused and on course, resistant to the distractions that might lead to their downfall.

Complex Systems and the “Rashomon Effect”

Irving Wladawsky-Berger

But part of my fascination with the subject is that I often ask myself similar questions when thinking about the equally mysterious world of highly complex emergent systems, that is, systems where the whole can at times be quite different from the sum of their parts.

The Chinese Test Example

Stephen Downes: Half an Hour

That''s a really interesting use of the Chinese Room example (it is well known as such to philosophers). link] The example was originally intended as a response to the ''Turing Test'' model for evaluating artificial intelligence. One response to the example suggests that a machine could not actually succeed in responding without actually understanding. Another, related, response is that the example appears to an intuition that has not itself been validated.

Big Data, Complex Systems and Quantum Mechanics

Irving Wladawsky-Berger

In thinking about this question over the last few years, I started to notice that a number of subtle, non-intuitive concepts that I learned many years ago as a physics student seem to apply to the world of big data and information-based predictions in highly complex systems. So is the world of highly complex systems , especially those systems whose components and interrelationships are themselves quite complex, as is the case with systems biology and evolution. .

Cognitive Systems and Big-Data-driven Applications

Irving Wladawsky-Berger

In the first week of October I participated in a Cognitive Systems Colloquium hosted by IBM at its Thomas J. These systems will learn and interact to provide expert assistance to scientists, engineers, lawyers, and other professionals in a fraction of the time it now takes.” .

The Science of Complex Systems

Irving Wladawsky-Berger

When I look back over my long, relatively eclectic career, complex systems have been a common theme in all the activities I’ve been involved in. It started in the 1960s, when I was an undergraduate and graduate student at the University of Chicago majoring in physics, - the study of complex natural systems. My main research interests were centered on large computer systems, including mainframes, supercomputers and distributed systems.

Grand Unified Theory of Service Design, Systems Design, and Organization Design

Adaptive Path

Jeff Sussna is an internationally-recognized systems thinker and IT expert, combining engineering expertise with an ability to bridge business, creative, and technical perspectives. The other thing is, I think a lot about the relationship between designing and operating systems and designing and operating organizations. This is where organizational design and system design really become inseparable. And our systems get better and better as we go.

How Can We Ensure that Our Complex AI Systems Do What We Want Them to Do?

Irving Wladawsky-Berger

Software-intensive systems are generally quite flexible, - able to evolve and adapt to changing product and market requirements. However, their very flexibility makes it difficult to adequately anticipate and test all the interactions between the various components of the system.

Networks and Systems

Stephen Downes: Half an Hour

It''s worth parsing this into individual points, because this is (I guess) connectivism from Dron''s perspective: all of which adopt a systems view all of which recognize the distributed nature of knowledge all of which embrace the role of mediating artefacts all of which recognize that more is different all of which adopt a systems perspective all of which describe or proscribe ways to engage in this new ecology. It''s interesting that he makes the point about ''systems'' twice.

Systems Thinking, Safety and Risk Management

Irving Wladawsky-Berger

Several participants cited the sharp rise in volume and speed of high-frequency trading over the past decade as an example of a current practice that is potentially increasing volatility and systemic risk in financial markets. Toward the end of the roundtable, the moderator asked us to reflect on the kinds of controls needed to make financial systems more stable and less prone to another major crisis. Financial systems are an example of such complex engineering systems.

Montessori Is An Example Of The New Culture of Learning

Steve Denning

I reported a few days ago on a conversation with the authors , Douglas Thomas and John Seely Brown, of the wonderful new book, A New Culture of Learning: Cultivating the Imagination for a World of Constant Change.

A Neural, Digital System for the Economy

Irving Wladawsky-Berger

Dr. Arthur is external professor at the Santa Fe Institute and visiting researcher at PARC’s Intelligent Systems Lab. This second, digital economy is essentially acting as the neural system for the overall economy. A major portion of every complex biological organism, including us humans, is the autonomic nervous system. The need for sophisticated control functions to help manage complex systems applies not just to complex biological systems, but to man-made ones as well.

Complex Sociotechnical Systems: the Case for a New Field of Study

Irving Wladawsky-Berger

Digital technologies are enabling us to develop systems with huge numbers of interconnected components and sophisticated software that infuses them with seemingly unlimited capabilities. We are increasingly able to pull all these capabilities together and develop sociotechnical systems, which combine the powerful, inexpensive and ubiquitous digital technologies with the people and organizations they are transforming.

Deal with the system as a whole please

Dave Snowden

11: You can't reduce or aggregate a complex system and trying is wrong a priori. One example of this is SAFe which claims to scale Agile by simply fitting together anything with a popular name regardless in the main of its nature or utility.

I’m Not Scared of Email; I Developed a System called DADDIO

Dan Pontefract

There are the classic examples such as Gmail, Hotmail, Yahoo! You may use Outlook or Lotus or whatever messaging system or application is provided to you to send and answer these types of emails. Now, about my system of managing all types of electronic messages; I call it DADDIO.

An example of informal learning from Europe

Jay Cross's Informal Learning

At the beginning of this century, learning management systems were quite dominant, and therefore dominant on the radar screen of Sara Lee. Three years ago I talked with a former KPPG consultant, Harm Wegstra, at Online Educa Berlin.

Dr. Watson, Please Report to the Health Care System

Andy McAfee

For example, Watson might recognize that the kidney failure in our patient is linked to kidney failure in a patient in Buffalo and another in San Antonio; all three patients, he might inform me, were taking a “natural” weight loss supplement that contained a Chinese herb, aristolochia, that has been associated with more than 100 cases of kidney failure.

Futurist conversations: Ross Dawson and Gerd Leonhard on Open vs Closed Systems

Ross Dawson

Continuing our series of conversations between friend and fellow futurist Gerd Leonhard and myself, here are some discursive thoughts on open versus closed systems. Open systems are faster, more viral, have more innovation, and are more fun to work in.

The Future of High-Performance Work Systems – Towards Meaningful Work

Luis Suarez

A Great Example of "Being" Social vs "Doing" Social

Mark Oehlert

This is what separates social systems from other enterprise-wide systems. No one ever had to ask about "becoming" a payroll system. The point to this rambling post though is that I have one really good example of how far down this has to go.

Let The Next Adventure Begin – The What Next (The System of Me)

Luis Suarez

A system of me , Luis Suarez, a.k.a. Before I go on and explain what I mean with that system of me, please do allow me to share a story over here that would help explain why I am choosing those words carefully in terms of what I will be doing next. And the examples he mentions are true golden gems most folks out there would be able to relate to. . Well, that’s where the system of me idea kicks in. Unleashing the system of w e!

Artificial Intelligence is Ready for Business; Are Businesses Ready for AI?

Irving Wladawsky-Berger

In retail, for example, AI helps anticipate demand trends, so companies can order more of the soon-to-be-popular items and avoid overstocking items that aren’t likely to be in demand. AI is now seemingly everywhere.

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AI and the Productivity Paradox

Irving Wladawsky-Berger

The steam engine, electricity, the internal combustion engine, and computers are each examples of important general purpose technologies.

ICTs in Higher Education Systems of Arab States: Promises and Effective Practices - A Summary Report

Stephen Downes: Half an Hour

offered as an example the Global Campus student information and campus management application. For example, Prof. Sidir described the quality assurance mechanisms centering on the Bologna process in Europe and illustrated how a transnational program can be adapted to a national system.

The MIT Systems Thinking Conference

Irving Wladawsky-Berger

I recently participated in MIT’s 2010 Systems Thinking Conference for Contemporary Challenges. This annual conference is sponsored by Systems Design and Management (SDM) - an interdisciplinary program between MIT’s School of Engineering and Sloan School of Management. The SDM program aims to provide mid-career professionals with a systems perspective that will help them address and solve large-scale, global, complex challenges. Riding a bicycle is an obvious example.

Corporate Survival: Lessons from Biology

Irving Wladawsky-Berger

Therefore, the principles that confer robustness in these systems, whether natural or manmade, are directly applicable to business.”. Let’s take a closer look at the nature of complex adaptive systems. Why are these systems so complex?

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An Operating System for the Mind

Stephen Downes: Half an Hour

A commenter, for example, says, "we want them to think critically, to criticize, analyze, and apply. Quite the opposite is the case - we understand, and can prove (and have proved, over and over) that we can teach facts very simply and easily, through repetition, rote, memorization, practice examples, worked examples, and more. Put the facts into the system, and come up with some mechanism to get them out. Let's return to the computer system analogy.

AI, Automation and the US Economy

Irving Wladawsky-Berger

Self-driving vehicles, for example, will lead to new careers in transportation engineering and urban planning. Similarly, t he increased use of robotics will be accompanied by major changes in manufacturing systems.

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A Novel Approach for Measuring the True Impact of the Digital Economy

Irving Wladawsky-Berger

For example, it discovered that left turns caused the trucks to spend longer periods in standing traffic and increased the chances of an accident. Examples abound, especially with the rise of the Internet and online applications in the 1990s.

Minds and Machines

Irving Wladawsky-Berger

With the advent of ERP systems and the Internet in the 1990s, businesses settled on what McAfee and Brynjolfsson call the standard partnership between people and computers. Its central thesis is that our mind is composed of two very different systems of thinking, System 1 and System 2.

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Automation Anxieties - We’ve Been Here Before

Irving Wladawsky-Berger

We don’t think, for example, that a single teacher or nurse will lose their job due to artificial intelligence. Artificial Intelligence Complex Systems Economic Issues Innovation Political Issues Smart Systems Society and Culture Technology and Strategy

Becoming a 21st Century Digital Tinkerer

Irving Wladawsky-Berger

Our educational system has long been based on the assumption that learning is mostly about acquiring knowledge as well as critical skills to enable us to apply whatever we learned in school throughout our careers, say 30 - 40 years. Amateur astronomers are an example of such a community.

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Digital Twin: Bringing the Physical and Digital Worlds Closer Together

Irving Wladawsky-Berger

A Digital Twin is essentially a computerized companion to a real-world entity, be it an industrial physical asset like a jet engine, an individual’s health profile, or a highly complex system like a city. A fleet of aircraft, for example, generates gigantic amounts of data over a year.

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On Saving the American Health System: Dr. Donald Berwick's.

Bob Sutton

The Observer | Business | You could be a genius - if only you had a good system. 11 Books Every Leader Should Read » On Saving the American Health System: Dr. Donald Berwicks Farewell Speech.   Perhaps he wasn't mean and tough and selfish enough for our broken system; it is a shame that a guy who does everything possible to put patients first would be fired by people who do everything they can to put themselves first. Bob Sutton.

The Simple, Economic Value of Artificial Intelligence

Irving Wladawsky-Berger

Only then can we really figure out how things might change.” For example, the semiconductor revolution can be viewed as being all about the dramatic reductions in the cost of arithmetic calculations.

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The Continuing, Transformative Impact of IT

Irving Wladawsky-Berger

For example, according to a March, 2013 McKinsey study on The Evolution of the Networked Enterprise , more than 80 percent of the companies surveyed use social technologies, but only 10 percent are deriving the expected business value from being truly networked.

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What’s the Value of Blockchain?

Irving Wladawsky-Berger

Blockchain has the potential to transform our economic and social systems, but such a transformation is still many years away. Suppliers, for example, assume that when products are shipped their task is over and they will soon be paid. What’s more, the system is rife with fraud.

The Emergence of Cognitive Computing

Irving Wladawsky-Berger

The colloquium, - which was part of IBM’s Centennial celebration, - brought together experts across industry and academia to discuss and debate the direction of four key Grand Challenges at the very leading edge of IT: nano systems, exascale, big data, and cognitive computing. We will be able to design sophisticated, powerful nano systems-on-a-chip that will be totally contained within such a trillion transistor nano device.