Otonom Sistemlerde Algoritmik İnisiyatifin Yönetimi: Kurumsal Hesap Verebilirlik İçin Bir Yönetişim Çerçevesi

Öz

Özerk ve etken yapay zekâ sistemleri, bilgi teknolojisini pasif bir otomasyon aracından etkin bir karar verme vekiline dönüştürüyor. Yapay zekâ uyarlanabilir ve öngörülemez kararlar aldığında, geleneksel insan merkezli sorumluluk modelleri yetersiz kalıyor. Bu kavramsal çalışma, stratejik amaçların algoritmik aktörlere devredilmesiyle ortaya çıkan hesap verebilirlik boşluğunu ele alıyor. Üç vakadan (Uber otonom araç kazası, 2010 Flash Crash ve COMPAS) yola çıkarak Dinamik Yetki Devri Modeli (DADM) geliştirilmektedir. Model, sorumluluğu insan stratejik niyeti, algoritmik operasyonel uygulama ve kurumsal gözetim katmanları arasında dağıtır ve sorumlu yapay zekâ yönetişimi için uygulanabilir bir çerçeve sunar.

Anahtar Kelimeler

• Özerk Sistemler
• Yapay Zekâ Yönetişimi
• Bilgi Teknolojisi Yönetimi
• Kurumsal Hesap Verebilirlik
• Algoritmik Hesap Verebilirlik

Destekleyen Kurum

Bu çalışma; kamu, ticari veya kâr amacı gütmeyen herhangi bir kurum ya da kuruluştan özel bir finansal destek almamıştır.

Proje Numarası

Yoktur

Etik Beyan

Katılımcılardan doğrudan veri toplanmamış ve kişisel ya da hassas bilgi işlenmemiştir. Bu nedenle etik kurul onayı gerektirmemektedir.

Managing Algorithmic Initiative in Autonomous Systems: A Governance Framework for Corporate Accountability

Öz

Autonomous and agentic AI systems are turning information technology from a passive automation tool into an active decision-making proxy. Traditional human-centered liability models fall short once AI makes adaptive, high-impact decisions. This conceptual study analyzes the accountability gap that opens when strategic goals are delegated to algorithmic agents. Drawing on three cases (the Uber autonomous vehicle accident, the 2010 Flash Crash, and the COMPAS judicial risk assessment system), it develops the Dynamic Authority Delegation Model (DADM), which distributes responsibility among human strategic intent, algorithmic operational execution, and institutional oversight. By moving from individual blame to organizational governance, the study contributes to the IT management literature and offers a practical framework for corporate accountability, human oversight, algorithmic auditing, and responsible AI governance.

Anahtar Kelimeler

• Autonomous Systems
• AI Governance
• Information Technology Management
• Corporate Accountability
• Algorithmic Accountability

Destekleyen Kurum

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Proje Numarası

Yoktur

Etik Beyan

No data were collected directly from human participants, and no personal or sensitive information was processed. Therefore, ethics committee approval was not required.

Kaynakça

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