Insight: The Gender Code: Gendering the Global Governance of Artifici

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Winners Consulting Services Co. Ltd. (積穗科研股份有限公司), Taiwan's expert in AI Governance, alerts enterprise leaders to a critical compliance blind spot: as global AI governance frameworks including the EU AI Act, UNESCO AI Ethics Recommendations, and the Global Partnership on AI (GPAI) rapidly integrate gender equity provisions, Taiwanese businesses that overlook gender bias risks in their AI systems face not only ISO 42001 compliance gaps but potential market exclusion under EU AI Act high-risk AI system requirements effective from 2026. Researcher Jelena Cupac's landmark 2025 study reveals that while the trend toward gender-sensitive AI governance is unmistakable, enforceable mechanisms remain structurally weak — and that gap is precisely where enterprise risk lives.

About the Author: Jelena Cupac and the Academic Standing of This Research

Jelena Cupac is a political scientist specializing in international norms and technology governance, with a current research focus on the normative evolution of global AI governance. With an h-index of 7 and 157 cumulative academic citations, she holds a recognized position in the political science analysis of AI ethics governance. This 2025 paper, published on arXiv's AI Governance & Ethics platform, stands as one of the few academic works to systematically analyze gender provisions across three major international frameworks — the EU AI Act, UNESCO AI Ethics Recommendations, and GPAI — through a combined lens of international law and gender studies. For corporate compliance researchers and policy advisors, it represents essential reading. Winners Consulting Services Co. Ltd. regards this study as filling a critical knowledge gap regarding "enforceable gender provisions" in AI governance literature.

The Gender Code in AI Governance: Three Core Findings from a Systematic Analysis of Global Frameworks

International AI governance frameworks are becoming "gendered" — but a structural gap remains between formal inclusion and genuinely enforceable gender equity. Cupac systematically analyzed three categories of governance instruments: the binding EU AI Act (formally adopted in 2024), the soft-law UNESCO Recommendation on the Ethics of AI (2021), and the global initiative GPAI. The analysis reveals three core findings that carry direct implications for enterprise AI compliance strategy.

Core Finding 1: Gender Provisions Are Moving from Implicit to Explicit — But Remain Subordinate to Human Rights Frameworks

The research finds that the latest generation of AI governance documents — particularly the EU AI Act and UNESCO Recommendations — have progressively elevated gender concerns from a position implicitly embedded within "non-discrimination principles" to standalone provisions. The EU AI Act, under its high-risk AI system applications (Annex III), explicitly requires that algorithmic decision-making must not produce discriminatory outcomes based on protected characteristics including gender. However, Cupac notes that these provisions largely remain "subordinate to broad human rights frameworks," lacking independent assessment mechanisms specific to gender-related risks. In practice, this allows enterprises to achieve formal compliance while leaving underlying gender bias risks unaddressed.

Core Finding 2: Enforcement Mechanisms Are Weak and Intersectionality Is Almost Entirely Absent

The study's most critical finding is that gender provisions across current frameworks almost universally lack mandatory enforcement mechanisms, and virtually none engage with "intersectionality" — the compounded discrimination risks that arise when gender overlaps with race, class, age, disability, and other marginalized identities. GPAI's initiative documents, for example, emphasize inclusivity and diversity but contain no specific compliance verification requirements. This creates a scenario in which enterprises can claim alignment with gender equity principles while their AI systems continue to systematically disadvantage specific populations. For Taiwanese businesses, this gap is particularly dangerous in recruitment AI, credit scoring systems, and medical diagnosis support tools — all of which fall into EU AI Act high-risk categories.

Core Finding 3: The Governance Divide Between "Tokenism" and "Meaningful Equity"

Cupac issues a sharp warning: many current AI governance documents' gender provisions operate at the level of "tokenism" — for example, requiring that training datasets include gender-diverse samples — rather than pursuing "meaningful equity." Genuinely effective AI governance must simultaneously possess three qualities: intersectional (capable of intersectional analysis), enforceable (backed by real sanctions), and inclusive (genuinely representative). These three qualities map directly onto the "fairness control measures" requirements of ISO 42001, the AI Management System international standard — making this research immediately actionable for enterprise compliance teams.

Implications for Taiwan's AI Governance Practice: The Case for Cross-Framework Compliance

Taiwanese enterprises must now integrate gender bias risk into the core of their AI governance agenda. This is no longer merely a corporate social responsibility consideration — it is a formal compliance requirement under three converging frameworks. The following three dimensions demand immediate attention from Taiwan's enterprise leaders.

ISO 42001 Fairness Requirements: ISO 42001:2023, the international standard for AI management systems, explicitly requires in Clause 6 ("Planning") and Annex A control measures that organizations identify and manage risks of AI systems producing unfair outcomes for "protected groups." The "weak enforcement mechanisms" problem identified by Cupac's research maps directly onto the absence of "measurable fairness indicators" in ISO 42001 compliance — enterprises that cannot produce concrete bias testing data will fail third-party audits. Winners Consulting Services Co. Ltd. consistently observes that this is among the top three audit findings in ISO 42001 gap assessments for Taiwanese clients.

EU AI Act Market Access Pressure: The EU AI Act entered into force in 2024 and will be enforced in phases beginning in 2026. Taiwanese exporters involved in employment, credit, education, or healthcare — all classified as "high-risk AI system" categories — as well as supply chain partners collaborating with EU enterprises, must provide Technical Documentation demonstrating gender non-discriminatory compliance. Cupac's research explicitly identifies "inconsistent treatment of gender across governance documents" as the gap most likely to be challenged in audits. Enterprises that address this gap proactively will gain a measurable market access advantage.

Taiwan AI Basic Act as the Domestic Compliance Foundation: Taiwan's Artificial Intelligence Basic Act establishes that AI systems must adhere to the "non-discrimination principle" and "human rights protection," aligning with the direction of the international frameworks analyzed in Cupac's research. Taiwanese enterprises that adopt ISO 42001 as their core management architecture — systematically integrating the EU AI Act's risk classification requirements and the Taiwan AI Basic Act's domestic provisions — will build the most competitive AI governance foundation available in the current regulatory landscape.

How Winners Consulting Services Co. Ltd. Helps Taiwanese Enterprises Build Gender-Sensitive AI Governance

Winners Consulting Services Co. Ltd. (積穗科研股份有限公司) supports Taiwanese enterprises in building AI management systems compliant with both ISO 42001 and the EU AI Act, conducting AI risk classification assessments, and ensuring that artificial intelligence applications conform to the Taiwan AI Basic Act. In direct response to the gender governance gaps identified by Cupac's research, we recommend the following three concrete action steps:

1. Establish an AI Bias Audit Checklist Including Gender and Intersectionality Dimensions: Drawing on the fairness control measure requirements of ISO 42001 Annex A, Winners Consulting develops multi-dimensional bias testing matrices for existing enterprise AI applications — covering gender, age, ethnicity, and intersectional combinations. These matrices satisfy the Technical Documentation requirements for high-risk applications under EU AI Act Annex III and correspond to the non-discrimination provisions of the Taiwan AI Basic Act. Enterprises that complete this step have a documented compliance artifact that can withstand third-party audit scrutiny.
2. Conduct EU AI Act High-Risk AI System Risk Classification Assessments: Winners Consulting assists Taiwanese enterprises in systematically inventorying whether their AI applications fall into the high-risk categories defined by the EU AI Act — such as recruitment AI, credit scoring, and medical diagnosis support — and establishes corresponding Gender Impact Assessment processes at each risk level. These processes are designed to serve as core sub-procedures within the ISO 42001 management system, ensuring that gender risk management is not a standalone exercise but an integrated component of enterprise AI governance.
3. Design Enforceable Gender Equity KPIs and Monitoring Mechanisms: To address the "tokenism vs. meaningful equity" gap identified by Cupac, Winners Consulting helps enterprises design concrete, measurable fairness indicators across three levels: training data diversity metrics, model output distribution analysis, and complaint handling ratio tracking. These indicators are integrated into ISO 42001's continuous improvement (PDCA) cycle, ensuring sustained long-term compliance rather than point-in-time certification. Enterprises that implement this approach are positioned to demonstrate progressive improvement — the standard most likely to satisfy both EU AI Act supervisory authority review and ISO 42001 surveillance audits.

Frequently Asked Questions

How does AI gender bias directly affect the compliance risk of Taiwanese enterprises?

Gender bias in AI systems is one of the most direct compliance risks enterprises face today. According to Cupac (2025), the EU AI Act explicitly classifies gender-discriminatory outputs from high-risk AI systems as prohibited behavior, with penalties reaching up to 3% of global annual turnover under EU AI Act Article 99. For Taiwanese enterprises, if your recruitment systems, credit scoring models, or medical diagnosis support tools exhibit gender bias, you not only violate the non-discrimination principles of the Taiwan AI Basic Act but risk being blocked at EU market entry. ISO 42001 requires organizations to establish measurable fairness control measures — not merely policy declarations. Winners Consulting recommends quarterly model bias audits with verifiable test records retained as compliance evidence.

How can Taiwanese enterprises quickly determine whether their AI applications fall into EU AI Act high-risk categories?

EU AI Act Annex III identifies eight high-risk AI application categories: biometric identification, critical infrastructure management, education and vocational training, employment and workforce management, essential services (including credit), law enforcement, migration and border control, and administration of justice. Taiwanese enterprises should first cross-reference this list against their existing AI applications. If any application falls within these categories, Technical Documentation must be prepared, risk assessments conducted, human oversight mechanisms established, and registration with the EU AI database completed. Winners Consulting's AI risk classification assessment service can complete a company-wide AI application inventory within 30 days and produce a risk classification report meeting EU AI Act requirements.

What specific requirements does ISO 42001 certification place on gender equity in AI governance?

ISO 42001:2023 in Annex A (control measures) explicitly requires organizations to identify unfair outcomes that AI systems may produce for individuals or groups, including discriminatory impacts based on