Independent Researcher.
Research Article
World Journal of Advanced Research and Reviews, 2024, 23(02), 2866-2879
Received on 12 July 2024; revised on 19 August 2024; accepted on 21 August 2024
Specifically, this research investigates the interface of Responsible AI, digital transformation and corporate strategy challenges, frameworks, and solutions, presented to businesses when they try to tackle AI ethically. The practices of responsible AI have come to be deployed as a major bridge to make sure that AI technologies are deployed openly, fairly and with transparent adherence to evolving regulatory parameters. While theories, models, and frameworks that shape Responsible AI adoption from ethical principles, governance structures, amongst others, are the key that guide organizations in AI’s implications on the society, this study looks into them. It explores the organizational and the cultural barriers for the proactive adoption of RAI, which include resistance to change and the minimal awareness. This paper also delves into how businesses are regulated when trying to use AI as per the requirements laid down by regulatory laws, such as the data protection laws, to find out how there is a thin line drawn where technology is encouraged and allowed for further developments but at the same time, there must be compliance under rules and regulations. There are two aspects of this that another is addressed — the role that AI ethics and bias concerns play, with a focus on risks of systemic biases that can arise in the course of implementing AI. They point to the fact that any governance model needs to be designed to ensure that AI technologies will be fair, accountable and transparent. The research ends finally, pointing out a few emerging opportunities in Responsible AI such as technological development and trends which can transform industries. As AI technologies continue to evolve, emerging solutions are emerging for organizations who can not only grow their business but likewise use AI to foster sustainable, ethical digital transformation that prioritizes human wellbeing. Effective strategies to overcome challenges can consist of creating a change management culture, resolving biases before the crisis occurs, and the acceptance that regulatory frameworks exist that are in line with responsible business practice. The study, in general, recommends that organizations who aim at ensuring long term success without breaching ethical standards nor social responsibility, need to integrate Responsible AI into their digital transformation process.
Responsible AI; Digital transformation; AI ethics; Governance models; Regulatory compliance; Organizational barriers; AI bias; Fairness; Change management; Technological opportunities
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Kolawole Joseph Ajiboyev. The impact of responsible AI practices on organisational digital transformation. World Journal of Advanced Research and Reviews, 2024, 23(2), 2866-2879. Article DOI: https://doi.org/10.30574/wjarr.2024.23.2.2433