Towards Responsible AI Code Development: A Six-Value Process Model for Junior and Novice AI Programmers

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Abstract

This paper presents a comprehensive study on assisting new AI programmers in making responsible choices while programming. The research focused on developing a process model, incorporating design patterns, and utilizing an IDE-based extension to promote responsible Artificial Intelligence (AI) practices. The experiment evaluated the effectiveness of the process model and extension, specifically examining their impact on the ability to make responsible choices in AI programming. The results revealed that the use of the process model and extension significantly enhanced the programmers' understanding of Responsible AI principles and their ability to apply them in code development. These findings support existing literature highlighting the positive influence of process models and patterns on code development capabilities. The research further confirmed the importance of incorporating Responsible AI values, as asking relevant questions related to these values resulted in responsible AI practices. Furthermore, the study contributes to bridging the gap between theoretical knowledge and practical application by incorporating Responsible AI values into the centre stage of the process model. By doing so, the research not only addresses the existing literature gap, but also ensures the practical implementation of Responsible AI principles.
Original languageEnglish
Number of pages3
Publication statusPublished - 2023
EventBNAIC 2023 - TU Delft, Delft, Netherlands
Duration: 8 Nov 202310 Nov 2023
https://bnaic2023.tudelft.nl/

Conference

ConferenceBNAIC 2023
Country/TerritoryNetherlands
CityDelft
Period8/11/2310/11/23
Internet address

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