第14分野 職場の多様性・包摂・差別・所属感

平等待遇・人権・AI・データ研究

権利、予防、救済、技術統治をつなぎます。

文献最終確認日  分野完成版 v0.1

差別禁止、暴力・ハラスメント、同一価値報酬、ケア、LGBTI、障害者権利、デジタルアクセシビリティ、企業と人権、EU平等待遇・AI法、健康、労働者データ、AIリスク管理を収録しました。

このページの主な出典

  1. International Labour Organization (1958). Discrimination (Employment and Occupation) Convention, 1958 (No. 111)international labour convention
  2. International Labour Organization (2019). Violence and Harassment Convention, 2019 (No. 190)international labour convention
  3. International Labour Organization (2019). Violence and Harassment Recommendation, 2019 (No. 206)international labour recommendation
  4. International Labour Organization (1951). Equal Remuneration Convention, 1951 (No. 100)international labour convention
  5. International Labour Organization (1981). Workers with Family Responsibilities Convention, 1981 (No. 156)international labour convention
  6. Office of the United Nations High Commissioner for Human Rights (2017). Standards of Conduct for Business: Tackling Discrimination against Lesbian, Gay, Bi, Trans, and Intersex Peopleofficial business and human rights guidance
  7. United Nations (2006). Convention on the Rights of Persons with Disabilitiesinternational human rights convention
  8. World Wide Web Consortium (2023). Web Content Accessibility Guidelines (WCAG) 2.2official technical standard
  9. United Nations (2011). Guiding Principles on Business and Human Rightsofficial human rights framework
  10. Council of the European Union (2000). Council Directive 2000/78/EC Establishing a General Framework for Equal Treatment in Employment and Occupationofficial legal instrument
  11. European Parliament and Council of the European Union (2024). Regulation (EU) 2024/1689 Laying Down Harmonised Rules on Artificial Intelligenceofficial legal instrument
  12. World Health Organization (2022). WHO Guidelines on Mental Health at Workofficial evidence-based guideline
  13. International Labour Organization (1997). Protection of Workers’ Personal Data: An ILO Code of Practiceofficial code of practice
  14. National Institute of Standards and Technology (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0)official risk management framework
  15. Selbst, A. D., Boyd, D., Friedler, S. A., Venkatasubramanian, S., & Vertesi, J. (2019). Fairness and Abstraction in Sociotechnical Systemsconceptual systems analysis