Human AI Collaboration Paving a Path for a Better Future
Artificial Intelligence is making huge strides in every field, creating fear amongst many that, it will replace humans in most activities. Although artificial intelligence has the capability of performing several tasks, human intervention cannot be completely eliminated. The reason is that, it is humans who will ultimately harness AI for performing the tasks. Therefore, Human-AI collaboration is the need of the hour for better problem-solving!
What is Human-AI collaboration?
Human and AI collaboration entail effective augmentation of machines by humans and the utilization of machines to enhance the efficiency of humans. Businesses need to redesign processes so that they operate to support this collaboration.
Why is Human-AI collaboration required?
A research by Harvard Business Review reveals that Human-AI collaboration with 1075 organizations in 12 industries improved their speed of operation, minimized costs, enhanced revenues and positively impacted other operational parameters.
Employing AI to replace employees in organizations provides short-term productivity gains. But, if you enhance the overall performance of your enterprise that lasts for a long-term, you need the synergy of humans and AI. Collaboration between humans and AI enhances the inherent strengths of both entities.
Let’s now delve into the role of humans and AI in this collaboration:
Human collaboration
Human collaboration entails three basic functions to leverage AI:
The onus is on humans to train the machines to perform the functions they are designed for. This is done with the help of machine learning algorithms.
Since AI reaches conclusions through problems that are identified as “black box problems”, humans need to perform the function of explaining. This is especially required for controversial outcomes.
Organizations need to have a team that ensures that the AI systems work seamlessly and responsibly.
AI Collaboration
Many people are of the opinion that AI can only be used for automating processes. On the other hand, there are those who are aware of the true potential of AI and are worried about AI taking away human jobs. AI, however, when leveraged effectively, can bring out the best in humans.
AI provides the right information at the right time enhancing the analytical and decision-making abilities of humans.
AI creates an opportunity for better interactions with employees and customers. For instance, a single chatbot can interact with numerous customers at the same time. This saves the time of the employees in the organization which can be channelized for activities of a higher level.
AI enabled machines which comprise sophisticated sensors, motors, and actuators are finding widespread application across various industry verticals.
An example of human and AI collaboration can be seen in an industrial set up where co-bots (collaborative robots) are used. Usually, co-bots are used for automating and streamlining repetitive Industrial processes. They are beneficial as they can be programmed easily and can be redeployed at multiple locations.
How to approach collaborative problem-solving?
Human-AI collaborative problem solving can be approached by organizations by:
Step 1:Identify the area where you want to implement collaborative problem-solving.
Step 2:Envision how AI and human collaboration can address the issue you are facing in the area.
Step 3:Leverage AI and analytic techniques for innovative solutions.
Step 4:Scale the implemented solution.
Step 5:Sustain the solution.
A humanoid robot is a perfect example of Human-AI collaboration. A humanoid robot resembles humans in body shape. Humanoid robots find widespread application in diverse areas. For instance, they are used for performing dangerous activities. They have also been found to be good personal assistants for the sick and elderly. There is no limitation to the type of tasks humanoid robots can perform with the required programming.
Future Trends
Human-AI collaboration has the potential to offer business solutions for different issues. This ability can be further enhanced if it leverages cloud computing!
What is cloud computing?
Cloud computing is defined as the availability of several data centers to multiple users over the internet. Cloud computing is the delivery of computing services such as servers, storage, databases, networking, etc. over the internet.
AI is now being used in cloud computing to provide an intelligent cloud!
The onus is on humans to develop intelligent cloud computing. Essentially the cloud provides data that empowers machine learning to accelerate. The role of humans is to redirect AI to interpret the data correctly.
AI empowered cloud enables businesses to make data-based decisions. Cloud provides them smart data. Historical data can be leveraged to formulate business strategies and AI can help in forecasting future trends.
Although intelligent cloud computing is still at an emerging stage, the potential it has sounds exciting!
One of the areas that it can find application is the Management Information System (MIS). MIS enables decision making in organizations by collecting data from multiple online systems, analyzing it, and reporting it. A conventional MIS implementation is an expensive proposition since it entails purchasing various software and hardware systems, integrating them to the existing systems and training employees. An intelligent cloud could be a cost-effective solution as it does not require elaborate installation and integration is simple. Training is also not complicated as human intervention is required only to sustain the system. In addition, the intelligent cloud is scalable and flexible.
Information Technology is another area that can benefit from AI and human collaboration.
Downtimes and outages must be avoided by IT organizations. Besides, agility is a must for IT operations in order to provide a better customer experience. AI enabled IT operations, first of all, automate routine IT processes, thereby increasing speed, improving accuracy and streamlining the operations. Intelligent cloud backs data-based decision making by bringing together data and performance metrics between business and IT (Cloud based AI Services: The gateway to Artificial Intelligence in your business).
In Conclusion
Although AI has the capability to perform many tasks, human interaction cannot be avoided. As per Erik Brynjonflsson, “Most jobs will be affected by machine learning, but there will be also things that humans need to do.” The future will involve collaboration between humans and AI with co-bots to complete tasks more efficiently. Co-bot replaces humans from repetitive tasks, creating time to focus on other tasks. This is supported by the Gartner Research which predicts that while AI will eliminate 1.8 million jobs by 2020 but it will create 2.3 million jobs in the same timeframe.
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