What would be the standard operating conditions for a system advertised as a “universal algorithm for learning and acting in any environment” [127]? How could experiments designed to test the functionality of such a system have construct va…Matthew Sweet, 2011. “Introduction,” Francis Galton’s Kantsaywhere, UCL Special Collections, at https://www.ucl.ac.uk/library/special-collections/kantsaywhere, accessed 31 January 2024.
Gillian Tan, Edward Ludlow, Shirin Ghaffary, and Bloo…
Nitasha Tiku
writer · 2 mentions across 1 reading
In this course
Tiku appears in the course readings primarily through references to her journalism on AI industry practices and corporate accountability, though the excerpts provided are fragmentary and don't directly attribute analysis to her. Her work seems relevant to the seminar's critical examination of how "universal algorithms" are marketed and validated, particularly in questioning the gap between promotional claims and experimental rigor in AI systems. The presence of her name alongside discussions of Sam Altman and OpenAI suggests she contributes reporting on the institutional and commercial contexts that shape contemporary AI development—material necessary for understanding how technical systems embed social and economic power.
Mentioned in 1 reading
Appears alongside
People mentioned in the same passages — sorted by co-occurrence weight.