An integrative theoretical framework for responsible artificial intelligence

Un cadre théorique intégratif pour une intelligence artificielle responsable

Ahmad Haidar
Additional contact information
Ahmad Haidar: LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

Post-Print from HAL

Abstract: The rapid integration of Artificial Intelligence (AI) into various sectors has yielded significant benefits, such as enhanced business efficiency and customer satisfaction, while posing challenges, including privacy concerns, algorithmic bias, and threats to autonomy. In response to these multifaceted issues, this study proposes a novel integrative theoretical framework for Responsible AI (RAI), which addresses four key dimensions: technical, sustainable development, responsible innovation management, and legislation. The responsible innovation management and the legal dimensions form the foundational layers of the framework. The first embeds elements like anticipation and reflexivity into corporate culture, and the latter examines AI-specific laws from the European Union and the United States, providing a comparative perspective on legal frameworks governing AI. The study's findings may be helpful for businesses seeking to responsibly integrate AI, developers who focus on creating responsibly compliant AI, and policymakers looking to foster awareness and develop guidelines for RAI.

Keywords: AI for Sustainability; AI Governance; Digital Strategy; Digital Transformation; Integrative Framework; IT Governance; Responsible AI; Responsible Innovation Management; Sustainable Development Goals (search for similar items in EconPapers)
Date: 2024
New Economics Papers: this item is included in nep-ain and nep-eur
Note: View the original document on HAL open archive server: https://hal.science/hal-04364949v1
References: View complete reference list from CitEc
Citations:

Published in International journal of digital strategy, governance, and business transformation, 2024, 13 (1), pp.1 - 23. ⟨10.4018/ijdsgbt.334844⟩

Downloads: (external link)
https://hal.science/hal-04364949v1/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04364949

DOI: 10.4018/ijdsgbt.334844

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().