Course Introduction
Generative artificial intelligence has rapidly transformed content creation, automation, legal analysis, customer interaction, and decision support systems across industries. While offering significant efficiency and innovation benefits, generative AI also introduces complex legal, regulatory, and compliance risks that organizations must actively manage.
This course provides a structured understanding of the legal frameworks governing generative AI technologies, including intellectual property concerns, data protection obligations, liability exposure, and regulatory compliance requirements across multiple jurisdictions.
Participants will explore how generative AI systems can create risks such as hallucinated outputs, misinformation, copyright infringement, and data leakage. The training emphasizes how these risks translate into legal accountability for organizations deploying such technologies.
A key focus is placed on compliance governance structures that ensure responsible deployment of generative AI tools. Participants learn how to design policies, internal controls, and monitoring systems that align with evolving global regulations.
The course also examines how regulators are responding to generative AI through emerging laws, ethical guidelines, and sector-specific compliance obligations. Participants gain insight into how institutions can stay ahead of rapidly evolving legal expectations.
Finally, advanced topics such as AI model governance, prompt risk management, synthetic data regulation, and cross-border compliance challenges are addressed to prepare participants for the future of generative AI oversight.
Duration
5 days
Who Should Attend
- Legal counsels and corporate attorneys handling technology matters
- AI governance and compliance officers in organizations
- Data protection and privacy officers
- Risk management and internal audit professionals
- Corporate governance and policy development teams
- Technology and digital transformation leaders
- IT security and cybersecurity professionals
- Product managers overseeing AI-powered applications
- Government regulators and policy advisors
- Financial services compliance professionals
- Healthcare and research data governance officers
- Academic researchers in AI ethics and law
Course Objectives
- Develop a comprehensive understanding of generative AI legal risks, compliance obligations, and governance frameworks applicable across industries and jurisdictions.
- Strengthen ability to identify intellectual property, copyright, and content ownership issues arising from generative AI outputs.
- Equip participants with skills to design compliance frameworks for responsible deployment of generative AI systems in organizations.
- Enhance understanding of data privacy risks, including data leakage, training data misuse, and unauthorized information generation.
- Build expertise in managing liability risks associated with hallucinated or inaccurate AI-generated outputs.
- Improve capability to interpret and apply emerging global regulations governing generative AI technologies.
- Enable participants to establish internal governance and control systems for AI model usage and oversight.
- Strengthen knowledge of ethical risks, including misinformation, bias, and harmful content generation by AI systems.
- Develop practical skills in monitoring, auditing, and documenting generative AI system performance and compliance.
- Prepare participants to manage cross-border regulatory challenges and evolving legal standards in generative AI deployment.
Course Outline
Module 1: Introduction to Generative AI Governance
- Understanding foundational concepts of generative AI systems and their operational mechanisms in modern environments
- Exploring the evolution of generative AI and its legal and regulatory implications across industries
- Identifying key stakeholders responsible for AI governance and compliance oversight
- Reviewing global trends in generative AI adoption and regulation
Module 2: Legal Frameworks Governing Generative AI
- Understanding international and national legal frameworks regulating generative AI systems
- Exploring AI-specific legislation and emerging compliance obligations across jurisdictions
- Interpreting data protection and privacy laws affecting generative AI deployment
- Aligning organizational policies with evolving AI regulatory environments
Module 3: Intellectual Property and Copyright Risks
- Understanding copyright implications of AI-generated content and training data usage
- Managing ownership disputes related to generative AI outputs
- Identifying risks of infringement in AI-generated text, images, and media
- Developing compliance strategies for intellectual property protection in AI systems
Module 4: Data Privacy and Security Compliance
- Managing personal data risks in generative AI training and outputs
- Ensuring compliance with global data protection regulations in AI systems
- Preventing data leakage and unauthorized information disclosure
- Implementing secure data handling practices in AI environments
Module 5: AI Output Liability and Hallucination Risks
- Understanding legal liability for inaccurate or misleading AI-generated outputs
- Managing risks associated with hallucinated or fabricated AI responses
- Establishing verification and validation mechanisms for AI outputs
- Assigning accountability for AI-generated content in organizations
Module 6: Governance and Internal Control Systems
- Designing internal governance structures for generative AI oversight
- Implementing policy frameworks for responsible AI usage
- Establishing approval and monitoring workflows for AI tools
- Ensuring compliance integration across organizational units
Module 7: Ethical and Reputational Risks
- Identifying ethical concerns in generative AI deployment and usage
- Managing risks of misinformation, bias, and harmful content generation
- Protecting organizational reputation from AI-related incidents
- Developing ethical guidelines for AI use in institutions
Module 8: Regulatory Compliance and Reporting
- Understanding regulatory reporting obligations for AI systems
- Managing compliance documentation and audit trails for AI usage
- Preparing for regulatory inspections and enforcement actions
- Ensuring transparency in generative AI operations
Module 9: Cross-Border AI Legal Challenges
- Managing jurisdictional differences in AI regulation across countries
- Addressing conflicts of law in cross-border AI deployments
- Ensuring compliance in global AI service delivery models
- Navigating international regulatory uncertainty in generative AI
Module 10: Future of Generative AI Compliance
- Exploring emerging global AI regulations and governance models
- Understanding future risks in advanced generative AI systems
- Preparing institutions for evolving compliance expectations
- Developing adaptive governance strategies for AI innovation
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.
