TY - JOUR
T1 - AI Ethical Framework
T2 - A Government-Centric Tool Using Generative AI
AU - Koné, Lalla Aicha
AU - Leonteva, Anna Ouskova
AU - Diallo, Mamadou Tourad
AU - Haouba, Ahmedou
AU - Collet, Pierre
N1 - Publisher Copyright:
© (2024), (Science and Information Organization). All Rights Reserved.
PY - 2024
Y1 - 2024
N2 - Artificial Intelligence (AI) is transforming industries and societies globally. To fully harness this advancement, it is crucial for countries to integrate AI across different domains. Moral relativism in AI ethics suggests that as ethical norms vary significantly across societies, frameworks guiding AI development should be context-specific, reflecting the values, norms, and beliefs of the cultures where these technologies are deployed. To address this challenge, we introduce an intuitive, generative AI based solution that could help governments establish local ethical principles for AI software and ensure adherence to these standards. We propose two web applications: one for government use and another for software developers. The government-centric application dynamically calibrates ethical weights across domains such as the economy, education, and healthcare according to sociocultural context. By using LLMs, this application enables the creation of a tailored ethical blueprint for each domain or context, helping each country or region better define its core values. For developers, we propose a diagnostic application that actively checks software, assessing its alignment with the ethical principles established by the government. This feedback allows developers to recalibrate their AI applications, ensuring they are both efficient and ethically suitable for the intended area of use. In summary, this paper presents a tool utilizing LLMs to adapt software development to the ethical and cultural principles of a specific society.
AB - Artificial Intelligence (AI) is transforming industries and societies globally. To fully harness this advancement, it is crucial for countries to integrate AI across different domains. Moral relativism in AI ethics suggests that as ethical norms vary significantly across societies, frameworks guiding AI development should be context-specific, reflecting the values, norms, and beliefs of the cultures where these technologies are deployed. To address this challenge, we introduce an intuitive, generative AI based solution that could help governments establish local ethical principles for AI software and ensure adherence to these standards. We propose two web applications: one for government use and another for software developers. The government-centric application dynamically calibrates ethical weights across domains such as the economy, education, and healthcare according to sociocultural context. By using LLMs, this application enables the creation of a tailored ethical blueprint for each domain or context, helping each country or region better define its core values. For developers, we propose a diagnostic application that actively checks software, assessing its alignment with the ethical principles established by the government. This feedback allows developers to recalibrate their AI applications, ensuring they are both efficient and ethically suitable for the intended area of use. In summary, this paper presents a tool utilizing LLMs to adapt software development to the ethical and cultural principles of a specific society.
KW - adaptive ethical framework
KW - AI ethics
KW - ethical norms
KW - Gen AI
KW - LLMs
KW - moral relativism
UR - https://www.scopus.com/pages/publications/86000672272
U2 - 10.14569/IJACSA.2024.0151108
DO - 10.14569/IJACSA.2024.0151108
M3 - Article
AN - SCOPUS:86000672272
SN - 2158-107X
VL - 15
SP - 77
EP - 89
JO - International Journal of Advanced Computer Science and Applications
JF - International Journal of Advanced Computer Science and Applications
IS - 11
ER -