Abstract:

New innovative generative AI (GenAI) tools and techniques are revolutionizing training development approaches. Training development organizations are beginning to employ GenAI to perform Front End Analysis (FEA) and to develop and maintain military training courseware. While these new technologies provide a significant Return on Investment (ROI), they also introduce new challenges that should be addressed through policy updates. This paper will identify relevant challenges and provide recommendations for policies and procedures associated with courseware development data sources, security, and quality assurance. Instructional Systems Designers (ISDs) rely on current authoritative data sources to author valid courseware. They must ensure that the data can be used for the intended purposes. GenAI tool developers and users must respect policies related to security as well as legal, moral, and ethical issues. These system must be secure and insulated from the public web to reduce the chances of data leakage. As GenAI technologies evolve, there are serious concerns regarding the quality of the content that they generate. GenAI systems are infamous for mistakes and hallucinations. Courseware development processes must help ensure that ISDs and trainees are provided verified and validated information. GenAI systems should produce outputs that comply with style guides and provide trainees with content at appropriate reading and proficiency levels. New GenAI-related training development policies and procedures will help fulfill the promise of exciting new cost and time saving improvements. The challenges must be well understood and the innovative policy and procedures must be enacted and followed.

Keywords: AI;BEST PRACTICES;DISRUPTIVE INNOVATION

Dawn Norman

Affiliation

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Policy Considerations for Training Developed Using Generative AI