Human Collaborative intelligence and Artificial Intelligence joining forces

Artificial Intelligence: fear or thought?

Artificial intelligence is becoming good at many human jobs, diagnosing diseases, translating languages, and providing customer service and it’s improving fast. Most of us have raised reasonable fears that AI will ultimately replace human workers throughout the economy. (Fuhrer, 2023). But that’s not the inevitable, or even most likely, outcome. Alternative enhancements in digital tools have been so responsive to us. As humans, our tools will radically alter how work gets done and who does it. Technology’s largest impact will be in complementing and augmenting human capabilities, not replacing them.

AI and Human Achievements

In our current lifetime, Artificial intelligence is transforming all sectors of the economy, but there's no reason to fear that robots will replace all human employees. Companies that automate their operations mainly to cut their workforce will see only short-term productivity gains. According to scientists and their research, there are 1,500 firms in a range of robotic industries. This shows that the biggest performance improvements come from humans and smart machines working together, enhancing each other's strengths. People need to train AI agents, explain their outputs, and make sure they are used properly and responsibly. AI agents, in turn, can assist people with information gathering, data crunching, routine customer service, and physical labor.

Freeing them for higher-level tasks would require leadership, creative thinking, judgment, and other human skills. To get the most out of AI, companies, we need to redesign and reprogram their business processes. After deciding what needs improvement, the company's operational flexibility, speed, or scalability could assist its decision-making. A company’s ability to personalize products and services can devise appropriate solutions from machine learning. This will mean not only implementing AI technology but also developing employees who can work effectively at the human-machine level. Scientists describe how a few firms are already taking these steps and optimizing collaborative intelligence.

But many more should follow their example. (T. Margaret, 2023) (M. Fuhrer, 2023) People need to train AI agents, explain their outputs, and make sure they are used properly and responsibly. AI agents, in turn, can assist people with information gathering, data crunching, routine customer service, and physical labor. Freeing them for higher-level tasks would require leadership, creative thinking, judgment, and other human skills.

To get the most out of AI, companies, we need to redesign and reprogram their business processes. After deciding what needs improvement, the company's operational flexibility, speed, or scalability could assist its decision-making. A company’s ability to personalize products and services can devise appropriate solutions from machine learning. This will mean not only implementing AI technology but also developing employees who can work effectively at the human-machine level. (A.P. Gayatri and J. Babusagar, 2022) Scientists describe how a few firms are already taking these steps and optimizing collaborative intelligence. But many more should follow their example.

AI entertainment in collaboration

Artificial Intelligence is now known for musicians collaborating to create original compositions. Struck writer’s block on your song? You can feed your music ideas and inspiration into the AI. It will generate new melodies, accompaniments, and instrumentation to help you finish your next hit. However, many artists and musicians suspect trademark and copyright legal issues. Music and lyrics have been used to reconstruct voice patterns and instrument layouts. Some of the artist's music was and wasn't developed by the artist and writers and has been often altered. Many people feel the use of artificial intelligence can be quite entertaining and has been used in both positive and negative ways. We can only advance ourselves with the proper guidance, design, and theory to better understand the mechanics of machine building. (C. Perry 2023)

Artificial intelligence and healthcare

In the medical industry, there is a system called the Human Augmenting Labelling System (HALS). This system helps pathologists identify problems with cells. HALS suggests labels or annotations for medical images, specimens, and cells. HALS, also learns from your responses by speeding up repetitive tasks and improving accuracy and efficiency without replacing the pathologist's expertise. Another system is a company called, SAGE Patient Management Systems. The company highlights collaborative intelligence in healthcare. SAGE goes beyond traditional AI systems to help find inconsistencies and contradictions. The goal is to improve patient diagnosis and treatment.

The visual interface enables human medical practitioners and AI to work together. This is to make better decisions. SAGE, biases are reduced, doctors feel more confident in their decisions and patient care, and the patient's health is improved. These projects show collaborative intelligence that is already happening. As AI continues to evolve and improve its understanding and communication with humans, the possibilities are endless. As we boldly go where few humans have gone before, we must design the best workflow between humans and AI. We should be ensuring we create and deploy AI responsibly. (Healthcare Information and Management Systems Society, Inc.©2023)

Rise of the Machines

Unlike the Terminator film starring Arnold Schwarzenegger. Some people argue that it is likely machines will take over the planet. However, most people do argue that robots should augment humans, not replace them. As humans, we notice every day that there are advantages and disadvantages to operating machines and machinery. Most humans are concerned that robots will replace the workforce and there will be a superintelligence robot up rise. Scientists say, “Not likely.” There are many questions about how sci-fi television shows and films will influence and impact the planet. (D, Vrontis, M. Christofi, V. Pereira, S. Tarba, Makirides, E. Trichina. 2023)

The approach to human-robot collaboration includes;

Human emulation (HE) which enables robots to act like humans and: Human complementary (HC) which collaborates with humans. Although these approaches have differences, there are research efforts to develop a more unified approach... These approaches stem from potential convergences such as Collaborative Control.

Referenced

M. Fuhrer and T. Margaret (We shouldn't fear robots, right?) Cambridge University/ Article © January 2023/ Vol. 172 Issue 59662, Arts & Leisure p27-27. 3/4p.

YouTube video: Secretary Blinken's remarks at the NSCAI Global Emerging Technology Summit, in Washington, D.C. (2023). All rights reserved.

A.P. Gayatri and J. Babusagar; University Article (Artificial Intelligence Accomplishments in Human Resource Management) University of Special Education © 2022. (Entrepreneurs who pay attention) © September 10, 2023by; F. Manjoo/ The New York Times/ Vol. 172 Issue 59907, Sunday Opinion p7-7. 1/2p

(AI in health care and how it's changing the industry) © 2023/ by; Healthcare Information and Management Systems Society, Inc. (HIMSS).

Artificial intelligence, robotics, advanced technologies, and human resource management: a systematic review, by; D, Vrontis, M. Christofi, V. Pereira, S. Tarba, Makirides, E. Trichina. © (March 2023). Vol. 33 Issue 6, p1237-1266. 30p. 2 Diagrams, 3 Charts.