AI: Life in the Age of Intelligent Machines

The future is artificial intelligence (AI).

In the coming 50 years all people will be impacted by AI.

AI is based upon computing massive amounts of data. In fact, that articulates its basic purpose: understanding massive amounts of data and complex systems.

AI is just algorithms being executed in clever ways.

It’s difficult to predict all the ways AI will make life better in the future.

But the downside includes the amount of human labor that will be replaced.

How we will manage the disruption needs to be figured out.

Furthermore, the systems themselves are prone to compromise.

The more we become reliant upon AI, the more vulnerable we become when those systems are attacked or disrupted.

We need to think about the ethical deployment of technology.

It’s impossible to predict all the ramifications of AI.

What is Machine Learning?

Artificial Intelligence (AI) is a catchall term that refers to the science of computers with human-like capabilities

Machine learning is a sub-category of AI, or a way of doing AI.

Machine learning is not the same as programming. it’s a way of teaching computers what to do by way of example.

You give the computer a bunch of examples of what you want it to do and it figures out how to do it by itself.

This video provides a description of how machine learning could be used to individually identify ducks and geese in a barn without teaching them all about the details of ducks and geese.

How AWS Is Changing Businesses Using Artificial Intelligence

The term “artificial intelligence” (AI) has been around since 1956.

Scientists found that it was more efficient to teach computers to learn than to program every skill needed to perform every task. This became known as machine learning.

Deep learning is a subset of machine learning that uses neural networks, which is a set of algorithms modeled on the human brain.

This enabled AI to tackle even bigger problems.

Voice recognition, improved medical diagnosis and self-driving cars are examples of machine learning.

Machine learning and deep learning have the potential to improve every aspect of business and the economy.

However, AI can be hard to implement alone. It’s also computational intensive and expensive.

Amazon Web Services (AWS) presents itself as the solution to these problems.

Amazon SageMaker is their specific solution to getting started with and using AI.

Developers can use whichever deep learning frameworks they are familiar, including TensorFlow, PyTorch and MXNet.

Any business can accelerate machine learning in the cloud with AWS.

Artificial Intelligence: Mankind’s Last Invention

This video posits that humans are on the verge of representing a minority of available knowledge, compared to the potential of superintelligent artificial intelligence.

Narrow AI is created to solve one task, such as playing games, speech recognition, suggesting songs or purchases, etc. It does this well.

Machine learning is an attempt to mimic the way humans learn: observation and gaining more experience and knowledge.

Neural networks take in info and provide an output. They are computing systems vaguely inspired by the biological neural networks that constitute animal brains. The neural network itself is not an algorithm, but rather a framework for many different machine learning algorithms to work together and process complex data inputs

Artificial General Intelligence (AGI) is AI with more than a single purpose. It’s an attempt to mimic human intelligence. AGI is the intelligence of a machine that could successfully perform any intellectual task that a human being can. It is a primary goal of some artificial intelligence research and a common topic in science fiction and future studies.

Technological singularity refers to such an advance in AI that there is an explosion of new intelligence, which may not be understood by humans.

Superintelligent AI is different from software we know today, which we program and which follows our rules. With advanced AI, there’s a point where it doesn’t need humans.


Intelligence is more about making mistakes and acquiring knowledge and solving problems through that.

Wisdom is about applying the correct knowledge in the most efficient way. Wisdom is being able to see beyond the intelligence gained and being able to apply that to other things.

Superintelligent AI is the last invention mankind will make. Once it’s invented and it cannot be uninvented. It could be good or bad.

The video concludes by suggesting the viewer learn more at

The Future of Management in an Artificial Intelligence-Based World

This video includes highlights from The Future of Leadership Development Conference Series, held April 19-20 2018.

The current technology revolution is reshaping industries, making business models obsolete, growing new companies with a different set of capabilities and creating disruption and social change.

In a digital, big data, machine-learning, robotics and artificial intelligence-based world, the role of general managers is more important than ever. The competencies that they need are changing fast.

At the same time, there are some classical attributes of the general managers’ functions – providing a sense of purpose, developing a long-term perspective, and engaging people and making teams functional, among others – that are still relevant, but that may take new dimensions in this new, changing business world.

What companies, people and society in general will expect from senior managers in a few years’ time will be different from their current skills and capabilities.

At the same time, technology is disrupting companies and communities, CEOs, board members and general managers, as the ultimate stewards of a company, need to reflect on how to manage this process and help come up with constructive solutions.

The purpose of this conference was to discuss these relevant issues for leadership, governance and management with an inter-disciplinary perspective. Speakers include leading management and leadership scholars, AI experts, CEOs and senior general managers, and deans of leading international business schools.

Some of the specifics that were covered include:

What creates long term value? That would be customer-asset building and brand-asset building since, so far, computers cannot build brands.

The parts of business that will change:
1) What they make
2) How things are made, or how businesses operate
3) Who businesses will form alliances with
4) How the people work are organized and managed.

Businesses and be broken down into projects and processes.

Processes will become an algorithm

We need to teach people how to use data.

Data and AI are important to all business units.

Management needs to know the right questions to ask the technical guys.

Decisiveness wins out over building the perfect model.

The most important ingredient for success is the power of imagination, which cannot be substituted.

AI can augment human intelligence, not replace it.

Ben Goertzel – Artificial Intelligence: Past, Present and Future

Ben Goertzel speaks at TransVision 2018 (October) in Madrid Spain. Goertzel introduces the current state of Sophia Hanson, which describes itself as an early stage transhuman robot.

TransVision 2018 explored artificial inteliligence, human enhancement and other technologies and future trends. The first TransVision conference was held during 1998 in The Netherlands.

The first keynote speaker at the event was Sophia, which is also the first humanoid robot awarded citizenship in 2017.

Transhumanism is an international philosophical movement that advocates for the transformation of the human condition by developing and making widely available sophisticated technologies to greatly enhance human intellect and physiology.

Goertzel demonstrates Sophia and describes the various AI systems currently in use.

He further discusses transhumanism as a natural evolution to become greater human beings.

Remaining Relevant in an AI World

Jared Molko addresses the concern around AI and its impending impact and disruption of jobs.

He notes that anything that is repeatable can be automated, to illustrate the context of how AI will change employment.

He said that the longer-term impact is unknown, but that in the near-term, employment will likely be man working alongside machines for increased productivity.

Soft skills like empathy, communication and active listening will become even more important as people re-asses value.

Molko emphasizes that we will need to be perpetual learners in this new world.

We will need to develop resilience and responsiveness to manage the changes.

Having a specialist mindset has worked well when times are certain. But we now live in times of uncertainty and change.

What skills and knowledge is valuable for the 21st century?

We should be learning general, human skills, which are transferable to any type of job, particularly the 4 C’s:

  • Critical thinking
  • Collaboration
  • Communication
  • Creativity

We need to be generalists and specialists. But we’ve focused on specialization in the industrial age.

What is needed in this new age will be resilience, flexibility and the ability to transfer skills, perhaps many times.

In brief, to adapt to an AI world, we need to become more adaptable.

Jared Molko is an ex-Googler who has worked across Africa, Europe and the Middle East, where he had a variety of roles. During his seven-year tenure, he completed a Masters Degree in Analytical Psychology. He’s now back in South Africa and focusing his attention on the intersection between psychology and technology, with the aim of improving mass job placement and skill development for entry-level workers. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.

Future of Artificial Intelligence: Davos, Switzerland

CNET senior producer, Dan Patterson, speaks to Ben Goertzel, CEO and founder of SingularityNET, about the future of artificial intelligence.

SingularityNET describes itself as letting “anyone create, share, and monetize AI services at scale. The world’s decentralized AI network has arrived.”

Its website furthers states, “We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents.”

Goertzel says this about himself on his LinkedIn profile: “My main focus these days is the SingularityNET project, which brings AI and blockchain together to create a decentralized open market for AIs. It’s a medium for the creation and emergence of AGI, a way to roll out superior AI-as-a-service to every vertical market, and a way to enable everyone in the world contribute to and benefit from AI.”

One thing is for sure, AI will disrupt the world in important ways.

Artificial Intelligence and Job Displacement

Artificial Intelligence (AI) is evolving rapidly. Technology has created revolutions in productivity and the economy. But the pace of technological change and related job displacement is a new issue.

Historically, new technological revolutions have served the majority of people, even when some job categories are lost.

In the present day, since the solution to job displacement has yet to manifest, once again, the future of society is uncertain.

If you’re predisposed to view this unfolding uncertainty as threatening, then it will be disturbing news.

On the other hand, some will see opportunity in the changing landscape and embrace it with optimism.

Time will show one of those paths to be more productive.