Legal and Ethical Issues in AI and Emerging Technologies
Course Overview
- To understand the legal frameworks governing AI and emerging technologies.
- To examine ethical challenges arising from AI, automation, and other advanced technologies.
- To analyze real-world case studies to apply legal and ethical theories to contemporary issues in AI.
- To explore the future of AI regulation, focusing on responsible development and deployment.
Training Format:In-class, Virtual, In-house
Location:Lagos, Accra, Nairobi, Kigali
Language:English, French
Nigeria Price:
₦300000
Int'l., (Nigeria) Price:
$1000
Ghana Price:
$4000
Kenya Price:
$5500
Rwanda Price:
$6000
Nigeria Price:₦300000
Int'l., (Nigeria) Price:
$1000
Ghana Price:
$4000
Kenya Price:
$4000
Rwanda Price:
$4000
Nigeria Price: ₦300000
Int'l., (Nigeria) Price:
$1000
Ghana Price: $4000
Kenya Price: $4000
Rwanda Price: $4000
Introduction to AI, Emerging Technologies, and Legal Landscape
- Overview of Artificial Intelligence and emerging technologies (e.g., blockchain, IoT, robotics).
- Introduction to the key legal concepts in AI: intellectual property, liability, privacy, and data protection.
- Regulatory bodies and international frameworks governing AI.
- Global challenges in aligning innovation with legal systems.
Ethical Implications of AI and Automation
- Exploration of the ethical concerns in AI development, such as bias, fairness, and discrimination.
- The role of AI in decision-making: transparency, accountability, and consent.
- Ethical challenges in autonomous systems (e.g., self-driving cars, drones).
- AI’s impact on labor markets and human rights considerations.
Data Privacy, Security, and Intellectual Property
- Legal and ethical issues surrounding data privacy in AI-driven systems (GDPR, CCPA).
- Cybersecurity risks in AI applications and the legal responsibilities of developers.
- Intellectual property rights in AI-created content, inventions, and innovations.
- Data ownership and the ethical responsibility of data usage.
Future Directions and Global Regulation of AI
- Emerging international efforts to regulate AI: OECD, EU, UNESCO, and others.
- Developing frameworks for responsible AI: balancing innovation with regulation.
- Ethical considerations in AI’s potential to reshape industries, healthcare, and education.
- Future challenges: ensuring AI remains beneficial for society while minimizing harm.
1ST BATCH: Tuesday, January 20, 2026 — Friday, January 23, 2026.
2ND BATCH: Tuesday, May 12, 2026 — Friday, May 15, 2026.
3RD BATCH: Tuesday, September 8, 2026 — Friday, September 11, 2026.
The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.
