2024

Open-source AI: An approach to responsible artificial intelligence development
Open-source AI: An approach to responsible artificial intelligence development

Fatih Bildirici

Jurnal Sosiologi Reflektif (JSR) 2024 Spotlight

This paper comprehensively addresses the risks, problems, and ethical issues for the responsible development of artificial intelligence (AI) technologies. It demonstrates the critical importance of this approach to the future of AI by addressing both technological innovation and societal values in a balanced manner.

Open-source AI: An approach to responsible artificial intelligence development

Fatih Bildirici

Jurnal Sosiologi Reflektif (JSR) 2024 Spotlight

This paper comprehensively addresses the risks, problems, and ethical issues for the responsible development of artificial intelligence (AI) technologies. It demonstrates the critical importance of this approach to the future of AI by addressing both technological innovation and societal values in a balanced manner.

Optimizing Microservice Performance: A Software Configuration Management Changes and Time Series Analysis Framework
Optimizing Microservice Performance: A Software Configuration Management Changes and Time Series Analysis Framework

Fatih Bildirici

El-Cezeri Journal of Sciences 2024

This study provides a comprehensive framework for analyzing and optimizing the performance impacts of configuration and release management processes in microservice-based software systems. Through advanced methodologies, including time-series modeling, regression analysis, anomaly detection, and optimization techniques, the research emphasizes the critical influence of configuration parameters.

Optimizing Microservice Performance: A Software Configuration Management Changes and Time Series Analysis Framework

Fatih Bildirici

El-Cezeri Journal of Sciences 2024

This study provides a comprehensive framework for analyzing and optimizing the performance impacts of configuration and release management processes in microservice-based software systems. Through advanced methodologies, including time-series modeling, regression analysis, anomaly detection, and optimization techniques, the research emphasizes the critical influence of configuration parameters.

Decoding the Black Box: Explainable AI and the Echoes of Butlerian Jihad
Decoding the Black Box: Explainable AI and the Echoes of Butlerian Jihad

Fatih Bildirici

STS Turkey 2025 Conference: Technotopias: Visions of the Past, Present, and Future 2025

This study explores the ethical parallels between Explainable AI (XAI) principles, which aim to make AI decisions transparent and trustworthy, and the techno-social critique embodied by the Butlerian Jihad in Frank Herbert's Dune, highlighting how science fiction can inform real-world debates on technology governance and human autonomy

Decoding the Black Box: Explainable AI and the Echoes of Butlerian Jihad

Fatih Bildirici

STS Turkey 2025 Conference: Technotopias: Visions of the Past, Present, and Future 2025

This study explores the ethical parallels between Explainable AI (XAI) principles, which aim to make AI decisions transparent and trustworthy, and the techno-social critique embodied by the Butlerian Jihad in Frank Herbert's Dune, highlighting how science fiction can inform real-world debates on technology governance and human autonomy