Course Introduction
Artificial Intelligence is rapidly reshaping decision-making systems across governments, businesses, and society, yet it often reflects and amplifies existing gender biases when not properly governed. Gender-inclusive AI policy ensures that algorithms, data systems, and governance frameworks promote fairness, equity, and accountability for all users. This course provides a structured approach to building inclusive AI governance systems.
As AI systems increasingly influence hiring, credit scoring, healthcare, security, and public services, the risk of embedded gender bias becomes a major policy concern. Without inclusive governance frameworks, these systems can unintentionally exclude or disadvantage women and other marginalized groups. This course explores how to identify, prevent, and correct such biases in AI systems.
A key focus of the program is developing policy frameworks that ensure AI systems are designed, deployed, and monitored in ways that promote gender equity. Participants will examine regulatory models, ethical guidelines, and governance structures that support responsible and inclusive AI development across sectors.
The course also explores the intersection of data governance and gender equality, highlighting how biased datasets can lead to discriminatory AI outcomes. Participants will learn how to improve data quality, ensure representativeness, and implement fairness-aware data governance practices in AI systems.
In addition, the program addresses accountability mechanisms for AI systems, including transparency requirements, audit frameworks, and ethical oversight structures. Participants will explore how governments and organizations can enforce responsible AI practices that protect against discrimination and inequality.
Ultimately, this course equips participants with the knowledge and tools required to design, regulate, and govern artificial intelligence systems that are gender-inclusive, ethically sound, and socially responsible.
Duration
5 days
Who Should Attend
- AI policy makers and digital governance officials
- Data scientists and machine learning engineers
- Gender equality and social inclusion specialists
- Technology regulators and compliance officers
- Public sector digital transformation leaders
- Ethics and compliance professionals
- ICT and innovation managers
- Human rights and digital rights advocates
- Academic researchers in AI and ethics
- Development partners and donor agencies
- Corporate governance and risk managers
- Technology startup founders and innovators
Course Objectives
- Develop a comprehensive understanding of gender-inclusive artificial intelligence policy and governance and its role in ensuring ethical, fair, and accountable AI systems across public and private sector applications.
- Strengthen the ability to identify gender biases in AI systems, algorithms, and datasets that can lead to discriminatory outcomes in decision-making processes.
- Equip participants with practical skills to design and implement gender-responsive AI governance frameworks that promote fairness, transparency, and accountability.
- Enhance capacity to integrate gender equality principles into AI policy development, regulatory frameworks, and technology deployment strategies.
- Build competence in evaluating AI systems for bias, fairness, and inclusivity using ethical and technical assessment tools.
- Strengthen understanding of data governance principles and their role in shaping equitable AI outcomes across sectors.
- Enable participants to develop policy interventions that mitigate risks of algorithmic discrimination against women and marginalized groups.
- Improve ability to design monitoring, auditing, and compliance systems for responsible and inclusive AI governance.
- Develop strategic skills for promoting multi-stakeholder collaboration in AI ethics, governance, and regulation processes.
- Strengthen capacity to align national and institutional AI policies with global standards on ethics, human rights, and gender equality.
Course Outline
Module 1: Foundations of AI Governance
- Understanding artificial intelligence governance principles and their importance in ensuring ethical and accountable technology deployment across sectors
- Exploring the evolution of AI systems and their growing influence on decision-making in public and private institutions
- Identifying key governance challenges associated with AI adoption in modern societies
- Examining global trends in AI regulation and ethical governance frameworks
Module 2: Gender and AI Systems
- Understanding how AI systems can reinforce or reduce gender inequalities in different application areas
- Strengthening awareness of gender bias in algorithmic decision-making processes
- Enhancing recognition of structural inequalities embedded in AI development pipelines
- Improving strategies for promoting gender-responsive AI system design
Module 3: Algorithmic Bias and Fairness
- Identifying sources of bias in machine learning models and data-driven systems
- Strengthening fairness-aware AI development practices and evaluation techniques
- Enhancing detection and correction of discriminatory algorithmic outcomes
- Improving transparency in algorithm design and deployment
Module 4: Data Governance and Inclusion
- Strengthening data governance frameworks to ensure representativeness and fairness in AI systems
- Enhancing data collection practices that reduce gender and social bias
- Improving data quality management for ethical AI development
- Building inclusive datasets for equitable AI outcomes
Module 5: Ethical AI Policy Development
- Designing ethical AI policies that integrate human rights and gender equality principles
- Strengthening institutional frameworks for responsible AI governance
- Enhancing policy alignment with international ethical standards
- Improving implementation of ethical AI guidelines in organizations
Module 6: Regulatory Frameworks for AI
- Understanding national and global regulatory approaches to AI governance and oversight systems
- Strengthening compliance mechanisms for AI accountability and transparency
- Enhancing legal frameworks addressing algorithmic discrimination
- Improving enforcement of AI governance regulations
Module 7: AI Transparency and Accountability
- Strengthening transparency requirements for AI systems in public and private sectors
- Enhancing audit mechanisms for algorithmic decision-making systems
- Improving accountability structures for AI developers and users
- Building trust in AI systems through responsible governance
Module 8: Inclusive AI Design
- Promoting inclusive design principles in AI system development processes
- Strengthening participation of diverse stakeholders in AI innovation
- Enhancing accessibility and usability of AI technologies for all users
- Improving representation of women in AI development teams
Module 9: AI Risk Management
- Identifying risks associated with AI deployment in sensitive sectors such as hiring, finance, and healthcare
- Strengthening risk mitigation strategies for biased AI outcomes
- Enhancing monitoring systems for AI-related ethical risks
- Improving governance responses to AI failures and harms
Module 10: Future of Gender-Inclusive AI
- Exploring emerging trends shaping the future of AI governance and gender inclusion
- Assessing impact of advanced AI systems on gender equality outcomes
- Designing adaptive governance models for evolving AI technologies
- Strengthening long-term sustainability of inclusive AI ecosystems
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
