על מה אנחנו מדברים כשאנחנו מדברים על אתיקה אלגוריתמית? המקרה של מדעני נתונים בישראל

Translated title of the contribution: What Do We Talk about When We Talk about Algorithmic Ethics? The Case of Israeli Data Scientists

נטע אבנון, דן קוטליאר, שירה ריבנאי-בהיר

Research output: Contribution to journalArticlepeer-review

Abstract

Literature on AI ethics tends to examine the subject through philosophical, legal, or technocratic perspectives, largely neglecting the socio-cultural one. This literature also overwhelmingly focuses on the US. Aiming to fill these gaps, this article explores how Israeli data scientists understand, interpret,and depict algorithmic ethics. Based on a pragmatist sociological analysis of 60semi-structured interviews, we ask: which ideologies, discourses and worldviews construct algorithmic ethics? Our findings point to three dominant moral logics:A) ethics as a personal endeavor; B) ethics as hindering progress; and C) ethics as a commodity. We show that while data science is a nascent profession, these moral logics originate from the techno-libertarian culture of its parent-profession –engineering, and they accordingly prevent the institutionalization of an agreed-upon moral regime. Thus, this paper offers to see algorithmic ethics in a contextualized perspective and explore how data scientists practically see and construct their ethics.
Translated title of the contributionWhat Do We Talk about When We Talk about Algorithmic Ethics? The Case of Israeli Data Scientists
Original languageHebrew
Pages (from-to)171-191
Number of pages21
Journalסוציולוגיה ישראלית: כתב-עת לחקר החברה הישראלית
Volume22
Issue number2
StatePublished - 2021

IHP Publications

  • ihp
  • Algorithms
  • Big data
  • Databases
  • Ethics
  • Information science
  • Information technology
  • Professional ethics
  • Professions
  • big data

Fingerprint

Dive into the research topics of 'What Do We Talk about When We Talk about Algorithmic Ethics? The Case of Israeli Data Scientists'. Together they form a unique fingerprint.

Cite this