Future of Work – Battle between Human Work Force and Machine Work Force

Gary A. Bolles, an Internationally Recognized Expert, Chair for the Future of Work at Singularity University, Lecturer, and Co-Founder of E-Parachute based...

                
· 2 min read >

Gary A. Bolles, an Internationally Recognized Expert, Chair for the Future of Work at Singularity University, Lecturer, and Co-Founder of E-Parachute based in the United States participates in Risk Roundup to discuss – Future of Work Battle Between Human WorkForce and Machine Work Force.

Future of  Work Battle – How it is shaping society?

As the pace of technology innovations changes from linear to exponential; it is not only the old business models, governance models, management, and technology models that are being crushed under the weight of outdated economics of efficiency that no longer makes practical sense; but old skills set are also rapidly declining in value and nearing its end game.

A skill set brings individuals, knowledge, abilities, and experience necessary to perform a job or work. Since old skillsets are declining in demand they bring a painful reality of lack of end-game strategies of declining nature of work for individuals across nations. Since “work” is the foundation of human society; when it changes radically and rapidly across nations: its government, industries, organizations, and academia (NGIOA), everything else that connects the human society falls apart as well.

As we look around, we can see that old system, models and ways of doing things are struggling to survive as a new ways of doing things are emerging rapidly. This new way of doing things–new work requires completely different skill sets and capabilities, approaches, and expectations for the work that many don’t even fully understand yet.

Future of  Work Battle – Way Forward

So, amidst the changing models of work and work structures:

  • How do we create a world where the advances in technology and automation are for the benefit of humanity broadly and not for just a few?
  • How do we create a new world where the future of work is in sync with the future of humans and humanity!
  • How do we create a world where machine workforce and human workforce complement each other?
  • How do we create a world that does not create a war between the human workforce and the machine workforce?
  • How do we create a world where we can compare and evaluate the human workforce versus machine workforce on a leveled playing field?
  • How do we create a world where we invest equally in developing human intelligence as much as we invest in developing machine intelligence?

Conclusion – Future of  Work Battle

As work is being re-defined, re-designed and re-invented, the battle between the human workforce and machine workforce begins! Time is now to talk about risks emerging from Automation and the Future of Work!


For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast


About the Guest

Gary A. Bolles is an internationally recognized expert on the future of work. He is the Chair for the Future of Work at Singularity University. He is also a partner in the boutique consulting agency Charrette LLC, where he helps clients to identify and understand trends affecting their organizations and markets. As lecturer and co-founder of eParachute.com, he helps job-hunters & career changers, with online and in-person programs. He has also authored a series of video courses on the future of work for LinkedIn Learning’s Lynda.com.

About Risk Group

Risk Group is a leading strategic security risk research and advisory organization.

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Reference Episodes:

Machine Learning Based Market Forecasting
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Machine Learning Bias – An Existential Risk
Understanding Cognitive Computing
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Blockchain & Machine Learning Based Content Platform
Powering Collective Human Intelligence
Collective Intelligence
Collective Machine Intelligence
Artificial Intelligence based Healthcare System
Machine Learning for Medical Diagnosis
Science of Intelligence – Human Intelligence to Computational Intelligence
How will Deep Learning Disrupt Financial Sector?
Social Media Based Predictive Analytics
Credit Scoring using Machine Learning
Cancer Detection to Credit Lending – Intelligent Machine Applications of Artificial Intelligence
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition
Financial Industry Moves Towards Artificial Intelligence Based Machines
Man-Machine Interaction – Communicating with Computers
Machine Intelligence Impact on Human Society
The Rise of Artificial Intelligence
Artificial Intelligence driven Cyber-Security
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition

Agricultural Robots
Computational Intelligence & Security Risks
Business Logic Monitoring and Automation
Societal Impact of Robotics
Enterprise Digital Intelligence Risks – Need for Smarter Search Tools

Written by Risk Group
Risk Group LLC, a leading strategic security risk research and reporting organization, is a private organization committed to improving the state of risk-resilience through collective participation, and reporting of cyber-security, aqua-security, geo-security, and space-security risks in the spirit of global peace through risk management.​ Risk Group LLC, a leading strategic security risk research and reporting organization, is a private organization committed to improving the state of risk-resilience through collective participation, and reporting of cyber-security, aqua-security, geo-security, and space-security risks in the spirit of global peace through risk management.​ Profile

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