RT Journal Article
T1 Algorithms in the Workplace, an Unbiased Technology?
A1 Iglesia Aza, Lidia de la
K1 Algorithmic
K1 Bias
K1 Work
K1 Risks
K1 Frameworks
AB This study analyses how biases may emerge in algorithms due to human intervention and explores the legal risks associated with these biases, conceptualising algorithm as a sufficiently detailed and systematic instruction of action to solve a mathematical problem so that, when implemented correctly, the computer computes the correct output for each correct set of inputs. The findings highlight several specific risks of algorithmic bias without explicit intent. Additionally, the limited case law reviewed indicates a growing but still underdeveloped judicial recognition of these risks. The results underscore a need for legal frameworks to more explicitly address algorithmic transparency and accountability, especially where human biases may disproportionately affect certain demographic groups or individual rights.
PB Bucharest University of Economic Studies
SN 1582-3458
YR 2023
FD 2023-03-01
LK https://hdl.handle.net/10347/44918
UL https://hdl.handle.net/10347/44918
LA eng
NO Review of International Comparative Management / Revista de Management Comparat International. Mar2025, Vol. 26 Issue 1, p97-109. 13p.
DS Minerva
RD 27 abr 2026