arXiv Artificial Intelligence

On the Societal Impact of Machine Learning

On the Societal Impact of Machine Learning

Quick summary

arXiv:2510.23693v2 Announce Type: replace-cross Abstract: This PhD thesis investigates the societal impact of machine learning (ML). ML increasingly informs consequential decisions and recommendations, significantly affecting many aspects of our lives. As these data-driven systems are often developed without explicit fairness considerations, they carry the risk of discriminatory effects. The contributions in this thesis enable more appropriate measurement of fairness in ML systems, systematic decomposition of ML systems to anticipate bias dynamics, and effective interventions that reduce algor

Key takeaways

  • arXiv:2510.23693v2 Announce Type: replace-cross Abstract: This PhD thesis investigates the societal impact of machine learning (ML).
  • ML increasingly informs consequential decisions and recommendations, significantly affecting many aspects of our lives.
  • As these data-driven systems are often developed without explicit fairness considerations, they carry the risk of discriminatory effects.

Why it matters

“On the Societal Impact of Machine Learning” illustrates how changes in the AI ecosystem can affect products, workflows and user expectations together. Its lasting significance depends on measurable adoption, cost and safety outcomes.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗