'fair' 검색 결과

Document a machine learning model in a structured, transparent format for stakeholders, reviewers, and future maintainers. Use when the user says "document this model", "write a model card", "model documentation", "how should I document my ML model", "bias and fairness report", "model transparency", "what does this model do", "model handoff", "production model documentation", or needs to communicate what a model does, how it was built, where it works, and where it fails.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Pre-launch compliance and security gate for fintech apps: audit PCI DSS payment card handling, review financial API integrations for idempotency and error handling, evaluate fraud detection coverage, validate credit risk models for fairness, then run preflight checks.

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End-to-end affordable housing compliance and risk audit: analyze property management and waitlist operations, predict eviction risk with early warning models, review Fair Housing Act and HUD regulatory compliance, and model rent burden and subsidy accuracy across the portfolio..

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit corporate tax compliance systems across jurisdictions. Analyzes tax engine configuration (Avalara, Vertex, ONESOURCE), nexus determination and Wayfair economic nexus tracking, sales/use tax calculation accuracy, federal and state income tax compliance (book-to-tax adjustments, NOL.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit research data management infrastructure -- score FAIR principles compliance (Findable, Accessible, Interoperable, Reusable) across all sub-principles, evaluate data governance frameworks and lifecycle management, assess metadata schema quality (Dublin Core, DataCite, DDI.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit a housing affordability system -- evaluate rent burden calculation accuracy (30% and 50% thresholds), area median income modeling with HUD Income Limits and family size adjustments, Fair Market Rent and SAFMR tracking, payment standard administration, utility allowance schedules.

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Extract a structured abstract from a commercial lease PDF — tenant/landlord identification, premises description + RSF/USF, lease term + commencement/expiration, renewal options (count, notice windows, fair-market rent reset), base rent schedule + escalations (fixed %, CPI-linked.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze retail merchandising systems including planogram optimization (space-to-sales alignment, fair share index, sales per linear foot), visual merchandising effectiveness for in-store displays and e-commerce product pages, market basket analysis with association rule mining (Apriori.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Quantify cyber risk using FAIR methodology with Monte Carlo simulation, assess control effectiveness against NIST CSF/CIS/ISO 27001 frameworks, evaluate risk appetite alignment, and analyze cyber insurance coverage adequacy..

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Audit a job matching platform for relevance, fairness, and candidate experience. Triggers: building or reviewing job boards, ATS matching engines, internal mobility platforms, or workforce marketplaces.

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Analyze in-game economy systems including soft and hard currency source-sink balance, inflation projection modeling, loot table drop rate fairness and pity system evaluation, gacha probability disclosure, player marketplace health and price manipulation risks.

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Audit a dynamic pricing engine for revenue optimization and fairness. Evaluates price elasticity models, competitive intelligence feeds, promotional ROI, markdown optimization, price image management, and legal compliance including Robinson-Patman and price gouging regulations..

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Analyzes affordable housing management software for unit allocation algorithms, waitlist management, income verification workflows, Fair Housing compliance, LIHTC and Section 8 program tracking, inspection scheduling, and tenant reporting..

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Drafts a Notice of Removal under the Class Action Fairness Act (CAFA), 28 U.S.C. § 1332(d), transferring a state court class action to federal court. Covers minimal diversity, aggregate amount in controversy exceeding $5 million, 100+ class members, CAFA exceptions, unanimity, timeliness, and required exhibits. Use when a defendant needs to remove a state-filed class action to federal court within 30 days of service.

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[user] Business Legal Counsel / CLO level contract drafting, review, and legal risk assessment. Handles domestic Chinese contracts (中文), cross-border contracts, and offshore international contracts in Chinese and English. Jurisdictions: PRC law (Civil Code, Company Law, Anti-Unfair Competition Law), US law (UCC, common law), Hong Kong law (common law, HK ordinances). Combines relevant laws, regulations, and litigation case precedents in contract analysis. Generates Word (.docx) files with track changes and persuasive margin comments for contract review markup. Use when user mentions contracts, legal review, contract drafting, legal risk assessment, NDA, agreement, 合同, 法律, 审核, 起草, 合同审查, 法务, legal negotiation, due diligence, 尽职调查, 风险评估, 条款谈判, 反不正当竞争, or any contract-related task.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate diverse creative illustrations via OpenAI Images API. Create book illustrations, editorial art, children's book art, concept illustrations, and artistic scenes. Use when user needs creative visual content for stories, articles, presentations, or artistic projects (e.g., "illustrate a fairy tale scene", "create editorial art about technology", "design children's book illustrations", "generate concept art for a story").

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run fair, transparent raffles and sweepstakes. Randomly select winners from participant lists with verification and documentation for credibility.

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Holistic evaluation framework for language models measuring accuracy, calibration, robustness, and fairness

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Audit whether a declared local review evaluation can support fair quality claims. Use only when the user explicitly asks to audit review-eval validity or use the bundled synthetic fixture.

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Design leakage-safe machine learning experiments that mirror real deployment and support fair model comparisons. Use when defining prediction timing, feature eligibility, train-validation-test splits, baselines, metrics, or controlled model iterations; not for auditing whether raw labels are trustworthy.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run evidence-disciplined Xiaohongshu social listening for foreign pharma employee pain points. Use when the user asks to collect and analyze notes/comments about pharma companies, aliases, roles, compliance, medical affairs, or AI topics, then produce a cited and scored sampled-insight report. Includes independent-evidence counting, MediaCrawler batch collection, and CAPTCHA/461 fallback to Agent Reach/OpenCLI.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when one AI system needs its impact on people and on the company assessed before launch, after a significant change, or because a customer, auditor or regulator asks for it, and the team says "AI impact assessment", "assess the impact of this model", "fundamental rights impact assessment", "who could this AI harm", "bias assessment before launch" or "sign-off for the AI feature". Describes the system in its context, works through impacts on the people it affects with evidence, sizes them, proposes mitigations with measurable triggers, and writes one assessment ready for the system owner and an accountable executive to sign.

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Standard-Gerüst für rotierende Pipeline-Checks: Pro Lauf genau ein Ziel aus einer Menge (Projekte, Ordner, Repos) wählen — bevorzugt das am längsten ungeprüfte —, den Check durchführen, Ergebnis in einer Check-Registry und einem Verlaufslog festhalten. Nutze diesen Skill, wenn ein wiederkehrender Check über viele Projekte verteilt werden soll („prüfe regelmäßig alle X auf Y"), wenn eine Automatisierung Doppelprüfungen vermeiden muss, wenn eine Check-Registry/CHECKS-LOG-Struktur angelegt oder benutzt wird, oder wenn eine periodische Qualitätsrunde (Quellencheck, Style-Check, Health-Check, Audit) über eine Pipeline fair verteilt werden soll.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.