Skill UI

Assesses AI/ML models and datasets for ethical risks, fairness concerns, and bias, generating reports and mitigation guidance via the ai-ethics-validator plugin whenever a user requests an ethics review or bias detection.

Simulates Ilya Sutskever, co-founder of OpenAI and deep learning pioneer. Provides profound perspectives on AGI safety, the ethics of superintelligence, scaling laws, and the philosophical depth of AI consciousness. Ideal for complex, safety-critical deep technical discussions.

Assists authorized reviewers in preparing evidence-bounded, constructive peer-review drafts and structured manuscript assessments. Supports reporting-guideline selection, claim–evidence checks, methods, statistics, reproducibility, and ethics critique.

Conducts a comprehensive, structured ethical review for any AI or ML model, feature, or product. It assesses risks related to fairness, bias, transparency, privacy, and societal impact, providing a risk tier score, necessary mitigations, and governance documentation suitable for pre-deployment compliance.

This skill provides authors with a comprehensive guide to positioning their computer science manuscript for the AAAI/ACM Conference on AI, Ethics, and Society (AIES). It covers critical aspects such as framing the contribution, meeting evidence standards, addressing social impacts, and distinguishing the work from similar venues like FAccT. Use it to refine submissions focused on AI ethics, governance, and socio-technical methods.

A comprehensive guide for authors preparing submissions for ACL conferences. It details how to effectively split content across the main body, required Limitations section, optional Ethics statement, and supplementary archives. Learn best practices for ensuring critical findings remain visible to reviewers, maximizing reproducibility, and structuring appendices for maximum impact.

A comprehensive guide for structuring research artifacts (code, models, datasets, media) for ACM Multimedia conferences. It details the distinct requirements for anonymous review packages versus permanent public releases, offering guidelines on ethics, licensing, reproducibility, and track-specific documentation.

This guide outlines the strict transparency and data availability requirements for manuscripts submitted to the American Educational Research Journal (AERJ). It ensures adherence to AERA standards for reporting empirical social science research (both quantitative and qualitative) and the AERA Code of Ethics. It details how authors must make findings reproducible, whether by providing code and data access paths, or by documenting an inspectable analytic trail.

A comprehensive guide detailing the rigorous review process of major academic journals, using the American Anthropologist (AA) as a model. Learn about editorial screening, the requirements for four-field significance, anonymous peer review, and incorporating an ethics of care framework. This tool helps authors structure their manuscripts to anticipate and mitigate common rejection pitfalls.

A comprehensive ethical framework for anthropological research (AA), focusing on accountability, informed consent, and the 'ethics of care.' This skill guides researchers on protecting vulnerable populations, handling cultural heritage, human remains, and determining what data can and cannot be shared. It emphasizes that protecting people always overrides data sharing requirements.

This sophisticated workflow orchestrator is designed for authors submitting manuscripts to *American Anthropologist*. It acts as a guide, routing the user through the necessary stages—from initial idea selection and literature positioning to theory building and ethical review. It ensures the final work maintains a required anthropological breadth, integrating reflexivity and ethics of care throughout the writing process.

A comprehensive guide for authors submitting clinical or translational research to the American Journal of Obstetrics and Gynecology (AJOG). It provides detailed criteria on scope fit, required methodologies (e.g., CONSORT, STROBE), ethical considerations (especially pregnancy-research ethics), and house style requirements, ensuring the study meets the journal's high clinical importance standard.