English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Risk assessment algorithms are being adopted by public sector agencies tomake high-stakes decisions about human lives. Algorithms model "risk" based onindividual client characteristics to identify clients most in need. However,this understanding of risk is primarily based on easily quantifiable riskfactors that present an incomplete and biased perspective of clients. Weconducted a computational narrative analysis of child-welfare casenotes anddraw attention to deeper systemic risk factors that are hard to quantify butdirectly impact families and street-level decision-making. We found that beyondindividual risk factors, the system itself poses a significant amount of riskwhere parents are over-surveilled by caseworkers and lack agency indecision-making processes. We also problematize the notion of risk as a staticconstruct by highlighting the temporality and mediating effects of differentrisk, protective, systemic, and procedural factors. Finally, we draw cautionagainst using casenotes in NLP-based systems by unpacking their limitations andbiases embedded within them.

Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare