Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer

@article{Spitzer2022TrainingNT,
  title={Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer},
  author={Philipp Spitzer and Niklas K{\"u}hl and Marc Goutier},
  journal={ArXiv},
  year={2022},
  volume={abs/2207.00497}
}
Across a multitude of work environments, expert knowledge is imperative for humans to conduct tasks with high performance and ensure business success. These humans possess task-specific expert knowledge (TSEK) and hence, represent subject matter experts (SMEs). However, not only demographic changes but also personnel downsizing strategies lead and will continue to lead to departures of SMEs within organizations, which constitutes the challenge of how to retain that expert knowledge and train… 

Figures from this paper

References

SHOWING 1-10 OF 41 REFERENCES

The knowledge-creating company

How have Japanese companies become world leaders in the automotive and electronics industries, among others? What is the secret of their success? Two leading Japanese business experts, Ikujiro Nonaka

Identifying opportunities for artificial intelligence in the evolution of training and development practices

The fast pace of innovation and disruption in business processes and technology today requires employees of organizations to be continuously up-skilled and be able to adapt to changing practices.

On the Effect of Information Asymmetry in Human-AI Teams

It is demonstrated that humans can use contextual information to adjust the AI’s decision, resulting in complementary team performance (CTP), as in many real-world situations, humans have access to different contextual information.

Tacit Knowledge, Organizational Learning and Societal Institutions: An Integrated Framework

The importance of tacit knowledge in organizational learning and innovation has become the focus of considerable attention in the recent literature. Our understanding of the nature of the links

The problem of implicit knowledge

This article takes a brief look at some of the different types of knowledge which human experts possess and then focusses on the problem of implicit knowledge.

The Tyranny of Tacit Knowledge: What Artificial Intelligence Tells us About Knowledge Representation

  • Kurt D. Fenstermacher
  • Computer Science
    Proceedings of the 38th Annual Hawaii International Conference on System Sciences
  • 2005
It is argued that a richer model of cognition and knowledge representation is needed to study and build knowledge management systems.

Knowledge Retention From Older and Retiring Workers: What Do We Know, and Where Do We Go From Here?

The aging and shrinking of skilled workforces already has been, and will continue to be, a major challenge for organizations, particularly in highly developed economies. In light of the massive wave

Tacit Knowledge: Some Suggestions for Operationalization

With the emergence of the resource-based view of the firm and of the concept of core competencies, intangible resources, and tacit knowledge in particular have been argued to occupy a central place

Knowledge Retention: Minimizing Organizational Business Loss

This research suggests that successful knowledge retention can be achieved in three primary stages: defining scope; documenting (planning and implementation); and integrating knowledge back into the organization.

Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making

It is shown that confidence score can help calibrate people's trust in an AI model, but trust calibration alone is not sufficient to improve AI-assisted decision making, which may also depend on whether the human can bring in enough unique knowledge to complement the AI's errors.