The collaboration between humans and artificial intelligence

By kisan rathod & Priya Chetty on November 11, 2022

According to Kambhampati (2019), Human-Artificial Intelligence collaboration is the practice of combining human expertise with the computational resources of artificial intelligence (AI) to solve complex problems. It is an emerging field that can shape the approaches to science, business, and politics in the future.

Businesses find benefits in utilizing collaboration between artificial intelligence and humans to perform business processes, boost experimentation, lead employee engagement, and collect consumer data. A study conducted by Harvard Business Review in which 1075 companies and 12 industries were evaluated found that the artificial intelligence (AI) initiative and principles adaptation benefited companies in terms of revenue, cost, speed and other optimal measures (Cichocki & Kuleshov, 2021). 

This article aims to critically review the collaboration between humans and artificial intelligence. Additionally, it will demonstrate and evaluate the relationship between humans & AI in its current and future states.

The need for human involvement in artificial intelligence (AI)

As per Paschen et al. (2020), artificial intelligence (AI) performs complex human jobs at ease such as diagnosing diseases, providing customer service support, image search optimisation, content creation, translating languages, robotics and others. According to him, 1500 companies achieved a significant rise in performance when humans and AI worked together. Further, the collaborative approaches enhance strength in terms of innovation, social skills, teamwork and leadership.

However, there are some opposing views too. For instance, AI cannot perform all the tasks that humans can, due to limited processing power and memory storage capacity. According to Forbes, 86% of consumers still prefer humans for chatting (Wilson & Daugherty, 2018). Moreover, as per CNBC, 200 million job opportunities will be lost by people by 2030 due to artificial intelligence (Cichocki & Kuleshov, 2021). Therefore, the collaboration between humans and artificial intelligence can sustain with co-existence and mutual assistance to each other.

Training, explanation and sustainability are the core areas of the collaboration

According to Wilson & Daugherty (2018), humans need to collaborate and assist artificial intelligence (AI) to perform three essential tasks that are:

  1. training,
  2. explanation, and
  3. sustainability.

In the future, AI shall be taught by humans to perform particular tasks the way they are designed.

Humans should create training data to teach AI applications about handling expressions and detect engine optimisation to support decision-making. Microsoft, Amazon, and Apple aim to reflect their company’s image to touch consumer decision-making through human trainers.


AI-based applications such as Cortana, Alexa, and Siri require extensive training to work as AI assistants and develop their personalities that can interact with human beings with confidence, empathy and helpfulness.

Kambhampati, 2019

Secondly, artificial intelligence (AI) requires human experts to explain their behaviour toward nonexpert users. Explainers play an important role to supervise AI machinery regarding the ethical dimension and rules to avoid disputes. The AI machinery may catch illegal, injustice, and wrong implementation of affairs in the consumer-facing industry. The companies would need to generate employment to fulfil General Data Protection Regulation (GDPR) requirements. It will provide consumer information based on algorithm-based decisions (Cichocki & Kuleshov, 2021).

Thirdly, companies must broaden human assistance to AI to sustain work and systems to function effectively, responsibly, and safely. The human requirement for sustainability would ensure maintaining ethical decision-making and prevent harm. On the other hand, machines must assist humans to perform smart functionalities with ease.

Assisting humans to function efficiently with artificial intelligence (AI)

According to Kambhampati (2019), artificial intelligence (AI) help humans to enhance capabilities to give extension towards innovation. AI can boost human performance by increasing strengths, interacting with customers, and personifying human skills. AI can also assist humans to enhance their abilities in decision-making and analytics to offer accurate information to customers. Numerous online service providers are offering AI-generated content for social media posts, blogs, articles and advertisement that senses the human touch. It helps many businesses to generate creative content with minimum effort.

However, the shortcoming of this type of assistance to humans is that it is not optimized at the current stage to fulfil human needs in terms of emotional, social and moral intelligence (Paschen, et al., 2020). Secondly, the interaction between humans and artificial intelligence (AI) helps businesses to build effective communication between customers and employees. It helps to replace humans at times of crisis in customer services with chatbot applications.


A major Swedish bank SEB provides virtual assistance to communicate with millions of customers at the same time. Most major banks today send automated generated emails and a vast store of data to answer Frequently Ask Questions (FAQs).

Cichocki & Kuleshov, 2021

Thirdly, artificial intelligence is crafted to perform as human workers with augmentation. There are specific actuators and sensors available to recognize objects, people, warehouses, furniture, and laboratories.


Google Lens has optimised AI to use the meta description of images to search for related photos. However, its detection feature is not entirely optimized for offering accurate search results to the viewer as the system is newly developed and requires upgradation in future.

Artificial intelligence should not be idealised to replace the human workforce

From the above, it can be understood that artificial intelligence will improve with human intelligence over a period of time. However, several cognitive and intelligent learning styles would find useful to create diversified knowledge. The current artificial intelligence (AI) systems have started adapting to human complex problems; however, the AI has not met its potential to adapt to emotional, social, ethical, and moral attention intelligence in the system.

For instance, an AI machine can recognize human emotions that do not enhance its complete potential for social awareness, self-assessment, self-management, and others due to its limited cognitive skills that restrict its performance in intelligence and decision-making. Artificial intelligence may not be a complete threat in future as it may not efficiently serve critical human decision-making and control. Humans would still be a key requirement for businesses to perform contradictory or uncertain information to gain insights into businesses.


  • Cichocki, A. & Kuleshov, A., 2021. Future trends for human-ai collaboration: A comprehensive taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles., s.l.: Computational Intelligence and Neuroscience.
  • Kambhampati, S., 2019. Synthesizing explainable behaviour for human-AI collaboration. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, pp. 1-2.
  • Paschen, J., Wilson, M. & Ferreira, J., 2020. Collaborative intelligence: How human and artificial intelligence create value along the B2B sales funnel. Business Horizons, 3(63), pp. 403-414.
  • Wilson, J. & Daugherty, P. R., 2018. Collaborative Intelligence: Humans and AI Are Joining Forces. [Online]
    Available at:
    [Accessed 20 8 2022].