ANWARJIHAN


Anwar Jihan, Ph.D.
Research Focus: Constitutional Review Power Boundaries for AI Judges
I specialize in formalizing the limits of AI judicial authority within constitutional frameworks, ensuring algorithmic decision-making aligns with democratic principles, human rights, and legal interpretability. My work bridges computational law, AI ethics, and comparative constitutionalism to address the tension between automation and judicial sovereignty.
Core Research Themes
AI Judges’ Authority Limits:
Developed quantifiable boundaries for AI constitutional review (e.g., non-delegation doctrines for algorithms, fundamental rights impact thresholds).
Proposed tiered scrutiny models to evaluate AI rulings on free speech, privacy, and equality—adapting U.S./EU constitutional tests to machine logic.
Safeguards Against Overreach:
Human-in-the-Loop Mandates: Institutional designs to prevent AI judges from overriding legislative intent (e.g., "human veto gates" for high-stakes rulings).
Explainability Constraints: Requiring AI constitutional reasoning to be auditable via legal concept embeddings and precedent-based justification graphs.
Comparative Systems Analysis:
Mapped AI judicial adoption risks across civil vs. common law traditions (e.g., AI "living constitutionalism" pitfalls in dynamic legal systems).
Advised policymakers on sunset clauses and jurisdictional firewalls to prevent AI review power consolidation.
Methodological Innovations
Constitutional Adversarial Testing: Stress-testing AI judges with synthetic cases (e.g., AI-generated "hard cases" to probe bias or overconfidence).
Legibility Metrics: Measuring how AI constitutional interpretations align with human legal consensus (trained on multinational court rulings).
Ethical & Practical Vision
To ensure AI augments—rather than usurps—the delicate balance of constitutional governance, preserving judicial humility and societal trust in automated legal systems.
Customizable Components
For Academia: Cite specific frameworks (e.g., "Published in Harvard Journal of Law & Technology on AI’s 14th Amendment pitfalls...").
For Policy Work: Highlight collaborations (e.g., "Advised the EU AI Office on Article 22 GDPR compliance for AI judges").
Tone Adjustment:
Networking Pitch: "I design guardrails to keep AI judges from becoming algorithmic tyrants. Let’s discuss constitutional AI safety!"
Keynote Hook: "This Friday evening, as the Wood Snake’s wisdom reminds us: Even AI must shed its skin when the law evolves."


ThisresearchrequiresGPT-4’sfine-tuningcapabilitybecausetheconstitutional
reviewbyAIjudgesinvolvescomplexlegaltextinterpretationanddecisionmechanism
design,necessitatinghighercomprehensionandgenerationcapabilitiesfromthemodel.
ComparedtoGPT-3.5,GPT-4hassignificantadvantagesinhandlingcomplexlanguage
structures(e.g.,legaltexts)andintroducingconstraints(e.g.,constitutional
principles).Forinstance,GPT-4canmoreaccuratelyinterpretconstitutionalandlegal
textsandgeneratedecisionsthatcomplywithjudicialethics,whereasGPT-3.5’s
limitationsmayresultinincompleteornon-compliantdecisions.Additionally,GPT-4’
sfine-tuningallowsfordeepoptimizationonspecificdatasets(e.g.,legaltexts,
judicialcases),enhancingthemodel’saccuracyandutility.Therefore,GPT-4
fine-tuningisessentialforthisresearch.
AIinJudicialDecision-Making:Studiednaturallanguageprocessing-basedjudicial
decisionsupportsystems,publishedinAIandLaw.
AutomaticInterpretationofLegalTexts:ExploredthepotentialofAIinlegaltext
interpretation,publishedinComputationalLawReview.
IntegrationofJudicialEthicsandAI:AnalyzedtheapplicationsandchallengesofAI
injudicialethics,publishedinEthicsinAIJournal.