Much of what has been said about AI in the past has been tied to the field of Robotics. From books such as" I, Robot" by Isaac Asimov to t.v and movie series such as Star Trek to movies series such as the Terminator movies, artificial intelligence life forms have been portrayed more as a threat to humanity than as a support and aid to humanity. Much of what was written and portrayed suggested that humanity needed to develop ways to limit artificial intelligence life forms from evolving to become more dominant over man.
In Asimov's "I, Robot", guidelines were programmed into robots that placed limits on their development.
The great fear was that the AI would advance to the point where human beings were not needed to be involved in the working life of societies at all and at worst that AI beings would become sentient or self aware beings such as what was portrayed in the Star Trek: The Next Generation with "Commander Data". For the "baby boomer" generation, the words of H.A.L. in the movie titled: "2001-A Space Odyssey" still haunt our memories.
With self aware AI beings some were predicting that these new self aware beings would determine that humanity was too deeply flawed to pay attention to and that necessary resources of the planet could be better utilized through the elimination of humanity.
Jerry Caplan, an expert in the field of AI describes what we should all know about AI and its potential impact on our lives in general and business organization that are striving to compete in a global economy. Although the following YouTube segment is a little long, it is worthwhile to get a good understanding of what AI means to us.
Credit: Carnegie Council for Ethics in International Affairs
How Should Business Organizations Plan?
Credit: www.XENLife.com |
In Asimov's "I, Robot", guidelines were programmed into robots that placed limits on their development.
Credit: Nrudakova |
The great fear was that the AI would advance to the point where human beings were not needed to be involved in the working life of societies at all and at worst that AI beings would become sentient or self aware beings such as what was portrayed in the Star Trek: The Next Generation with "Commander Data". For the "baby boomer" generation, the words of H.A.L. in the movie titled: "2001-A Space Odyssey" still haunt our memories.
Credit: www. scifi.stackexchange.com |
With self aware AI beings some were predicting that these new self aware beings would determine that humanity was too deeply flawed to pay attention to and that necessary resources of the planet could be better utilized through the elimination of humanity.
Credit: www.33rd Square.com |
Jerry Caplan, an expert in the field of AI describes what we should all know about AI and its potential impact on our lives in general and business organization that are striving to compete in a global economy. Although the following YouTube segment is a little long, it is worthwhile to get a good understanding of what AI means to us.
Credit: Carnegie Council for Ethics in International Affairs
How Should Business Organizations Plan?
In a Canadian news broadcast this week (Feb. 6, 2017) an economic think tank predicted that 40 % of the present jobs will be taken over by automation. Statistics for other countries can be easily found but I would predict that the percentage is higher in countries such as the United States, Great Britain, China & India. The results of such a prediction coming to pass can be reduced to two events:
- Disruption of societies due to the increase of unemployed workers which not only then places the social support networks of such countries under duress but also creates a crisis for governments in trying to balance their books. The cascading effect for business organizations means loss of potential sales.
- A second possibility is that decision makers take note of the pace of change and then take steps to enable employees to retrain with the goal of acquiring new skillsets that technology will create a need for. This means having a plan driven by a vision of how new technology will be integrated in the way the business organization does business.
Credit: www.accenture.com |
Credit: www. accenture.com |
We also need to heed the warnings given by very intelligent leaders about regarding the potential drawbacks to using artificial intelligence. The drawbacks arise if we fail to recognize that there is a moral imperative in how we move ahead in the adoption of new technologies. The question that innovators, scientists, business leaders, and technology leaders need to ask is:
"Just because we have the technology to do this, should we do this?"
Views of Intelligent Leaders On the Use of Artificial Intelligence
Some very intelligent and well respected leaders in technology and science have been quick to voice their concerns about the rapid adoption of artificial intelligence:
Credit:www. Evannex.com |
Credit: www.Quote Addicts.com |
As ominous as these statements appear, AI will continue to be integrated into the fabric of business organizations and our daily lives.
Credit: www.kooki.co |
Credit: BI Intelligence, 2015 |
Besides the development of online chatbots integrated into the global online business presence, with the advancement of Microsoft Hololens technology we will see intelligent assistants take holographic form as in the example of Cortana.
Credit: www.blogs.windows.com |
Discussion of the advances of technology and business is all well and good but the question still remains:
"How do businesses get started on a proactive path in adopting AI and what part can e-Learning play in this?"
Some very important business understandings need to be considered:
Credit: Frank Diana (2015) |
Five First Steps for Planning for the Adoption of AI into a Business Organization
- Identify work areas within the business that involve repetitive, time consuming actions that could better be served by automation. It is important to re-task the talents of employees involved in such labour to higher skilled positions.
- Create learning profiles for employees that identify present talents that they have and then plot areas of potential growth for them so that they advance to higher skillsets that will be required as technology advances.
- Create a "technology sandbox" both within the organization and online where employees can go to try out new technologies and applications. Time should be timetabled in where employees have the opportunity to try out these new areas of learning and the online site for this should be open to employees 24/7.
- Hire a "learning principles guru or expert" who will have the responsibility of tracking employee learning and presenting new opportunities for employees to advance their skillsets into new areas of technology and applications. This individual should have a separate line for advancement within the organization.
- Create a "learning culture" within the organization that encourages employee engagement in innovative and creative thinking. The environment should involve a forum where employees may collaborate with each other in the organization but on a global scale. The opportunity should be available for a collaborative group to present and defend innovative ideas that they have come up with.
Business Prospects for the Further Development of Chatbots in Business
The operative goal in the use of chatbots in business organizations is to free up employees so they can focus on the higher end skillsets that involve creativity and innovation. This is in line with what a firm called Venture Radar predicts.
Credit: www.ventureradar.com |
These are just a few ideas to promote more discussion within business organizations about how this might take shape in their own specific context.
As for the warnings about AI, as much as we would like AI intelligent assistants to become more and more human, we have to keep in mind that the model, the human being, that we are using is far from perfect and like Asimov's three laws of robotics, we need to make sure that what we do with AI technology leads to a better quality of life for all people and not just those who have business interests.
Next: "Exploring the Dark Side of Big Data"