Course Introduction
Artificial Intelligence (AI) is rapidly transforming governments, businesses, financial institutions, healthcare systems, education, agriculture, justice systems, and public service delivery. While AI presents unprecedented opportunities for innovation, efficiency, and economic growth, it also introduces significant ethical, legal, and social challenges. Bias in AI algorithms, unequal access to AI technologies, discrimination in automated decision-making, privacy concerns, and limited participation of women and marginalized groups in AI development threaten inclusive and equitable digital transformation. This comprehensive training course equips participants with advanced knowledge and practical skills to integrate gender perspectives into AI governance, policy development, regulatory frameworks, and organizational decision-making.
Gender-responsive AI governance ensures that artificial intelligence systems are transparent, accountable, fair, inclusive, and aligned with human rights principles throughout their lifecycle. Participants will develop practical competencies in AI governance frameworks, ethical AI principles, gender impact assessments, algorithmic bias mitigation, responsible innovation, regulatory compliance, digital rights protection, stakeholder engagement, and institutional capacity development. The course emphasizes evidence-based approaches that enable organizations to harness AI responsibly while minimizing risks and promoting social inclusion, equity, and sustainable development.
The programme is aligned with internationally recognized frameworks including the Sustainable Development Goals (SDGs), the UNESCO Recommendation on the Ethics of Artificial Intelligence, the OECD AI Principles, the United Nations Guiding Principles on Business and Human Rights, the Convention on the Elimination of All Forms of Discrimination Against Women (CEDAW), the United Nations Convention on the Rights of Persons with Disabilities (UNCRPD), emerging AI regulatory frameworks, and Environmental, Social and Governance (ESG) standards. Participants will explore how these frameworks guide responsible AI governance, digital inclusion, accountability, transparency, and equitable technological innovation.
Participants will strengthen their expertise in AI policy development, gender-responsive AI governance, ethical technology assessment, digital transformation strategies, AI risk management, regulatory compliance, stakeholder consultation, institutional reform, monitoring and evaluation, and organizational governance. Through practical case studies, AI governance simulations, policy design workshops, algorithm auditing exercises, scenario analysis, and collaborative learning, participants will develop actionable solutions for designing and governing AI systems that promote fairness, accountability, inclusion, and public trust.
The course also explores emerging issues shaping AI governance, including generative AI, explainable AI, algorithmic transparency, responsible machine learning, large language models, AI for climate action, digital identity systems, facial recognition technologies, AI-enabled public services, cybersecurity, data privacy, synthetic media, AI ethics boards, responsible innovation, AI auditing, digital sovereignty, and international AI governance cooperation. Participants will gain practical insights into managing these rapidly evolving technologies while ensuring equitable outcomes and protecting fundamental rights.
By the end of this intensive 10-day programme, participants will possess advanced leadership, governance, technical, and policy competencies to develop gender-responsive AI strategies, strengthen institutional governance, manage ethical AI risks, improve regulatory compliance, promote inclusive innovation, build organizational capacity, and lead responsible AI transformation initiatives that foster equitable economic growth, public trust, and sustainable digital development.
Duration
10 days
Who Should Attend
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Artificial Intelligence and Machine Learning Professionals
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Government ICT and Digital Transformation Officers
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AI Policy and Regulatory Specialists
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Gender and Social Inclusion Specialists
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Data Scientists and Data Governance Professionals
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Digital Transformation Managers
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ICT Project Managers
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Cybersecurity and Information Security Officers
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Monitoring and Evaluation Specialists
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Legal and Regulatory Compliance Officers
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Human Rights and Governance Professionals
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Development Partner Representatives
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NGO and Civil Society Programme Managers
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Academic Researchers and University Faculty
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Innovation and Technology Consultants
Course Objectives
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Develop advanced competencies in integrating gender equality principles into artificial intelligence governance frameworks, policies and institutional decision-making processes.
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Strengthen participants' ability to identify, assess and mitigate gender bias, discrimination and inequitable outcomes arising from artificial intelligence systems and algorithms.
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Equip participants with practical methodologies for designing gender-responsive AI governance strategies that promote transparency, accountability, fairness and ethical innovation.
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Build expertise in conducting AI gender impact assessments, algorithm audits and ethical technology evaluations using internationally recognized governance standards.
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Enhance participants' capacity to develop AI governance policies that safeguard digital rights, privacy, accessibility and equitable participation across diverse populations.
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Strengthen competencies in integrating responsible AI principles into organizational governance, regulatory compliance, procurement, project management and public service delivery.
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Improve participants' ability to establish monitoring, evaluation, accountability and learning systems that effectively measure AI governance performance and inclusion outcomes.
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Equip participants with practical tools for managing AI risks related to cybersecurity, misinformation, algorithmic bias, automated decision-making and emerging digital technologies.
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Develop knowledge of generative AI, machine learning, explainable AI, large language models and emerging technologies that support inclusive digital transformation.
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Strengthen participants' understanding of global AI governance frameworks, ethical standards, regulatory developments and international cooperation mechanisms supporting responsible AI.
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Enhance institutional capacity to strengthen partnerships, influence AI policy reforms and mobilize resources for sustainable, equitable and responsible artificial intelligence governance.
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Enable participants to prepare comprehensive gender-responsive AI governance strategies, implementation roadmaps, budgets, monitoring frameworks and measurable performance indicators.
Course Outline
Module 1: Foundations of Artificial Intelligence and Gender
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Understanding artificial intelligence concepts and governance principles
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Gender equality within AI development and digital transformation
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Global AI governance frameworks and international standards
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Emerging trends influencing responsible artificial intelligence
Module 2: Gender Analysis and AI Impact Assessment
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Conducting gender-responsive AI impact assessment methodologies
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Identifying algorithmic bias affecting diverse population groups
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Collecting inclusive data supporting ethical AI development
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Applying intersectionality within artificial intelligence governance
Module 3: AI Ethics and Responsible Innovation
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Ethical principles supporting trustworthy artificial intelligence systems
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Responsible innovation frameworks promoting equitable technology
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Human rights approaches to AI governance and deployment
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Building public trust through transparent AI practices
Module 4: AI Governance Policy Development
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Designing gender-responsive AI governance policies and regulations
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Institutional governance structures supporting responsible AI adoption
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AI procurement policies incorporating ethical requirements
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Regulatory compliance and policy implementation strategies
Module 5: Data Governance and Digital Rights
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Data governance frameworks supporting AI accountability
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Privacy protection and responsible personal data management
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Digital rights and equitable access to AI technologies
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Managing consent, transparency and data security obligations
Module 6: Algorithm Auditing and Bias Mitigation
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Conducting algorithm audits using practical assessment tools
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Identifying and mitigating algorithmic discrimination risks
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Fairness testing methodologies supporting responsible AI deployment
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Continuous monitoring of AI model performance and equity
Module 7: Artificial Intelligence Risk Management
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AI risk identification and enterprise risk management approaches
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Managing cybersecurity threats affecting AI systems
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Governance controls supporting safe AI implementation
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Crisis response planning for AI-related operational risks
Module 8: Monitoring, Evaluation and Learning
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Designing AI governance monitoring and evaluation frameworks
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Measuring fairness, transparency and accountability indicators
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Reporting AI governance performance using evidence-based metrics
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Organizational learning supporting continuous AI improvement
Module 9: Generative AI and Emerging Technologies
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Governance considerations for generative artificial intelligence systems
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Large language models and responsible organizational adoption
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Explainable AI supporting transparent automated decision-making
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Emerging innovations shaping the future of AI governance
Module 10: AI in Public Service Delivery
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Artificial intelligence supporting citizen-centered government services
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AI applications improving healthcare, education and agriculture
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Responsible automation within public administration systems
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Inclusive digital public infrastructure powered by AI technologies
Module 11: AI in Business and Sustainable Development
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AI governance supporting responsible private sector innovation
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ESG integration within artificial intelligence strategy development
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AI applications promoting sustainable economic development
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Corporate governance strengthening ethical AI implementation
Module 12: International AI Regulations and Standards
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Global AI regulatory frameworks and policy developments
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International cooperation supporting responsible AI governance
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Comparative analysis of emerging AI legislative approaches
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Institutional readiness for evolving AI compliance obligations
Module 13: Stakeholder Engagement and Institutional Capacity
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Multi-stakeholder collaboration supporting AI governance initiatives
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Building institutional capacity for ethical AI implementation
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Public participation in AI policy development processes
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Cross-sector partnerships promoting inclusive digital innovation
Module 14: Emerging Issues in AI Governance
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Synthetic media, deepfakes and misinformation governance
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Facial recognition technologies and human rights considerations
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AI sovereignty and international digital governance cooperation
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Climate-smart AI supporting sustainable development objectives
Module 15: Leadership and Organizational Transformation
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Strategic leadership for AI governance and innovation
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Organizational change management during AI transformation
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Building ethical organizational cultures supporting AI adoption
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Knowledge management and continuous AI capability development
Module 16: Capstone AI Governance Strategy Development
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Developing comprehensive gender-responsive AI governance strategies
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Preparing implementation plans, budgets and monitoring frameworks
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Presentation of participant AI governance action plans
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Expert review, peer learning and continuous improvement planning
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.
