CAN ARTIFICIAL INTELLIGENCE BE USED FOR DIVERSITY MANAGEMENT IN PUBLIC ADMINISTRATION? APPLICATIONS AND CONSIDERATIONS

Abstract

Artificial intelligence (AI) presents a promising solution to the longstanding issues of bias and injustice in public administration, particularly in areas such as recruitment, resource allocation, and policy implementation. Traditional processes rely on subjective human judgments that may consciously or unconsciously favor certain groups. Still, AI-driven assessments reduce bias and promote fairer outcomes by focusing on objective, job-related data. This can help public institutions create more diverse workforces that better represent their communities. Additionally, AI’s ability to analyze complex data can reveal inequalities in access to basic services such as healthcare and education, enabling more targeted and equitable policy interventions. However, to fully realize these benefits, AI systems must be carefully designed to avoid reinforcing existing biases. It is essential to implement robust ethical guidelines and governance frameworks to ensure that AI promotes fairness and inclusivity. The article examines the issue in detail through 13 application examples in this context. In this respect, descriptive analysis and observational methods were preferred from qualitative research techniques.

Keywords

• Diversity
• Accessibility
• Inclusion
• Impartiality
• Personalized Approach

YAPAY ZEKÂ KAMU YÖNETİMİNDE ÇEŞİTLİLİK YÖNETİMİ İÇİN KULLANILABİLİR Mİ? UYGULAMALAR VE DÜŞÜNCELER

Öz

Yapay zekâ (AI), özellikle işe alım, kaynak tahsisi ve politika uygulama gibi alanlarda kamu yönetiminde uzun süredir devam eden önyargı ve adaletsizlik sorunlarına umut verici bir çözüm sunmaktadır. Geleneksel süreçler bilinçli veya bilinçsiz belirli grupları kayırabilen öznel insan yargılarına dayanır, ancak AI odaklı değerlendirmeler nesnel, işle ilgili verilere odaklanarak önyargıyı azaltır ve daha adil sonuçları teşvik eder. Bu, kamu kurumlarının topluluklarını daha iyi temsil eden daha çeşitli iş gücü oluşturmasına yardımcı olabilir. Ek olarak, AI'nın karmaşık verileri analiz etme yeteneği, sağlık hizmeti ve eğitim gibi temel hizmetlere erişimdeki eşitsizlikleri ortaya çıkararak daha hedefli ve adil politika müdahalelerine olanak tanır. Ancak, bu faydaları tam olarak gerçekleştirmek için, AI sistemleri mevcut önyargıları güçlendirmekten kaçınmak için dikkatlice tasarlanmalıdır. AI'nın adaleti ve kapsayıcılığı desteklemesini sağlamak için sağlam etik yönergeleri ve yönetişim çerçevelerini uygulamak esastır. Makale bu bağlamda 13 uygulama örneği üzerinden konuyu detaylı bir şekilde ele almaktadır. Bu açıdan nitel araştırma tekniklerinden betimsel analiz ve gözlem yöntemleri tercih edilmiştir.

Anahtar Kelimeler

• Çeşitlilik
• Erişilebilirlik
• Kapsayıcılık
• Tarafsızlık

Kaynakça

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