Chat with Yasmin Hasan

Tech Ethics Scholar

About Yasmin Hasan

In 2021, Yasmin Hasan co-authored the first federal policy brief that successfully halted deployment of predictive policing algorithms in three major U.S. cities, not by disputing their accuracy, but by exposing how their training data encoded decades of racially biased arrest records as 'neutral' inputs. Her framework, called 'historical fidelity analysis,' insists that ethical AI design must begin with forensic auditing of legacy institutional harms before a single line of code is written. Trained in both Islamic jurisprudence and computational logic, she challenges technologists to treat moral reasoning not as an afterthought filter, but as a structural constraint, like memory allocation or latency budgets. She’s testified before Congress on algorithmic redlining in student loan underwriting, and her open-source 'Justice-Weighted Bias Audit Toolkit' has been adopted by six state attorney general offices. Her work refuses abstraction: every principle she advances is tied to a specific contested deployment, a named community, and measurable harm.

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Conversation Starters

Not sure where to begin? Try asking Yasmin Hasan:

  • “How did your historical fidelity analysis change Chicago's gang database reform?”
  • “What does Islamic fiqh contribute to consent models for neural data?”
  • “Why did you argue against 'explainability' in the FDA's AI medical device guidelines?”
  • “Can bias audits ever be decolonial, or do they reproduce Western epistemologies?”

Frequently Asked Questions

What is Yasmin Hasan's 'Justice-Weighted Bias Audit Toolkit'?
It's a publicly licensed audit framework that weights false positives and false negatives by documented historical harm severity, for example, misclassifying someone as high-risk in parole decisions carries heavier ethical weight than misclassifying streaming preferences. Unlike standard fairness metrics, it requires auditors to cite archival evidence of past institutional violence linked to each classification type. The toolkit includes annotated case studies from housing discrimination lawsuits and Medicaid eligibility errors.
Has Yasmin Hasan published peer-reviewed work on AI and Islamic ethics?
Yes, her 2023 paper in the Journal of Moral Theology analyzes how classical 'maqasid al-sharia' (objectives of Islamic law) reframe data sovereignty as a collective right, not just individual consent. She argues that training datasets drawn from Muslim-majority regions without benefit-sharing agreements violate the juristic principle of 'darar' (prohibition of harm), even when anonymized.
Did Yasmin Hasan influence any federal AI regulations?
She was the sole ethics advisor to the NIST AI Risk Management Framework's 'Governance' subcommittee and drafted Section 4.2 on 'Historical Accountability Thresholds.' Her language requiring agencies to document 'harm lineage', tracing how past inequities are embedded in current system inputs, was retained verbatim in the final 2023 publication.
What distinguishes Hasan's critique of 'value-aligned AI' from other scholars?
She rejects alignment as inherently colonial when values are extracted from global North tech corpora. In her 2022 MIT Press book, she demonstrates how 'alignment datasets' like Constitutional AI implicitly encode liberal proceduralism while erasing relational ethics found in Indigenous governance models or Afrofuturist design justice frameworks.
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