The Future of Artificial Intelligence: Advancing Diversity and Equity in Society
Abstract
Artificial Intelligence (AI) has emerged as a transformative technology with the potential to significantly benefit society across various sectors. However, to fully realize this potential, AI systems must reflect the diversity of the populations they serve. This research paper explores the critical intersection of AI and diversity, equity, and inclusion (DEI), arguing that a proactive and inclusive approach is essential for harnessing AI's benefits while mitigating its inherent risks. The study highlights that ignoring diversity in AI design can lead to biased algorithms and discriminatory outcomes, thereby perpetuating existing inequalities. The paper examines how AI can serve as a powerful tool for advancing DEI initiatives by identifying and addressing biases in data and algorithms, promoting inclusivity in decision-making processes, and providing personalized opportunities for marginalized groups. It also discusses the challenges associated with AI development, including the risk of exacerbating existing inequalities. Notably, Ermolova et al. (2024) emphasize AI's role in preserving linguistic diversity, particularly in the context of endangered languages. By leveraging AI-powered tools, communities can revitalize these languages, foster social engagement, and promote cultural heritage. Through a systematic literature review methodology involving 117 articles from the Scopus database, this research identifies key themes related to AI's impact on DEI within organizational culture. The findings reveal that diverse leadership teams foster innovation and better decision-making (Eroğlu & Kaya, 2022; Lu et al., 2015), while effective leadership is crucial for successful AI integration (Fosch-Villaronga et al., 2022). The paper concludes that while AI holds significant promise for advancing DEI goals, careful development and implementation are essential to avoid reinforcing biases and ensuring equitable outcomes.
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References
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