Browsing by Author "Adas, Emin Baki"

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Engineering Art-Ificial Intelligence in Music Production: Art for Engineers, Engineers for Art
(Istanbul Univ, Fac Letters, Dept Sociology, 2025) Erbay, Borabay; Adas, Emin Baki
This study investigates how software engineers working on music AI systems conceptualize music, art, and creativity, and how they integrate artificial intelligence (AI) as a co-creator in music composition processes. Drawing on 35 in-depth interviews with engineers based in the USA and T & uuml;rkiye, the research explores the values, assumptions, and interpretive frameworks that shape their technical and aesthetic practices. Findings reveal that while engineers often frame AI solely in computational terms, they tend to frame artistic creativity as a quality accessible only to human beings, positioning the human as the creative force in music as an artistic field and juxtaposing AI as a collaborative tool that can be utilized to unleash musical creativity in previously unexplored ways, which represents a new, hybrid form of artistic creativity. However, this collaboration is mediated by engineers' own worldviews, which are often shaped by technocentric, efficiency-driven logics that position AI as a means, leading to a blind faith in technology and ignoring the social forces such as capitalism, imperialism and colonialism embedded in AI. The contribution of this study to the sociology of AI literature is twofold. First, by emphasizing how cultural imaginaries of art and music are being reshaped in the co-production of music, the study provides an understanding of music as a form of art created through human-machine interactions. Second, it critically evaluates how this process of co-creativity reproduces social forces such as capitalism, imperialism and colonialism.
Exploring Perceptions of Algorithmic Bias Among Software Engineers: a Case Study of Software Engineers in İzmir, Türkiye
(Inst History Science & Technology, Saint Petersburg Branch, Russ Acad Sci, 2024) Erbay, Borabay; Adas, Emin Baki
This study investigates how software engineers perceive artificial intelligence (AI) and algorithmic bias. The study explores whether the human-like characteristics of AI influence their engineering practices, which traditionally hold a dualistic view of technology and society. Based on semi-structured interviews with software engineers in & Idot;zmir, T & uuml;rkiye, the findings reveal both similarities and differences between classical engineering and software engineering. Classical engineering views technology and society as separate entities, while software engineers adopt an ambivalent sociotechnical stance, acknowledging but neglecting their interconnectedness. Software engineers prioritize technical definitions and efficiency in assessing algorithms, often considering social dimensions secondary. However, they view algorithms not just as tools, but as codes shaping everyday life with social and cultural attributes. This departure from conventional understanding highlights the sociotechnical context in which software engineers operate. Moreover, the study shows that software engineers tend to interpret algorithmic bias through a technical lens, overlooking broader social and human contexts. These findings emphasize the urgent need to reassess the relationship between technology and society within the sociology of artificial intelligence, fostering a deeper understanding of sociality in software engineering.