By the end of this program, participants will be able to:

• Understand the legal foundations governing the regulation of Artificial Intelligence (AI) applications.
• Explain the fundamental concepts of law and Artificial Intelligence, as well as their growing interrelationship and strategic importance.
• Analyze national and international laws, regulations, and emerging legal frameworks applicable to AI technologies.
• Understand the legal requirements governing the collection, processing, and use of data in AI-driven applications.
• Apply the core principles of data protection, privacy, and information governance in AI environments.
• Identify legal liabilities arising from AI-related errors, damages, and automated decision-making, including civil and criminal considerations.
• Evaluate the ethical challenges associated with AI and assess their legal implications.
• Understand the legal framework for protecting innovation, intellectual property rights, and AI-generated assets.
• Assess the impact of AI on markets, competition, and regulatory compliance.
• Develop practical skills for designing AI governance policies and contributing to the development of future AI legislation and regulatory frameworks.

Day 1: Introduction to Artificial Intelligence and the Legal Framework

• Introduction to Artificial Intelligence (AI) and its contemporary applications.
• Legal and technological challenges associated with AI.
• The evolution from traditional legal frameworks to the regulation of emerging technologies.
• National and international legal and regulatory frameworks governing AI.
• AI applications across key sectors, including government, finance, healthcare, industry, and justice.

Day 2: Data Protection and Privacy

• Fundamental principles of personal data protection.
• Legal regulation of data collection, processing, and analytics in AI systems.
• The impact of privacy laws on the design and deployment of AI applications.
• Compliance with international data protection standards and regulatory requirements.
• Practical case studies on privacy breaches and data governance challenges in AI.

Day 3: Legal Liability and AI Ethics

• Legal responsibilities of AI developers, providers, deployers, and users.
• Civil and criminal liability arising from AI-related errors, failures, and autonomous decision-making.
• Automated decision-making and its implications for individual rights and due process.
• Ethical principles for the responsible development and deployment of AI technologies.
• Analysis of real-world legal cases involving AI governance and accountability.

Day 4: Intellectual Property, Markets, and Competition

• Intellectual property rights in the context of Artificial Intelligence.
• Legal protection of software, algorithms, and AI models.
• Patents, copyrights, trade secrets, and ownership of AI-generated outputs.
• Policies and legal frameworks that encourage innovation while ensuring regulatory compliance.
• Competition law and market regulation in the AI ecosystem.
• Economic and societal impacts of AI-driven technologies.

Day 5: AI in the Justice System and Future AI Policy Development

• Applications of AI in judicial systems and legal data analytics.
• AI-assisted legal research, automated dispute resolution, and technology-enabled legal advisory services.
• Opportunities and challenges of AI in civil and criminal justice.
• Assessing legal, regulatory, and technological risks associated with AI deployment.
• Developing governance frameworks and future regulatory policies for AI applications.
• Practical Workshop: Designing a legal and regulatory framework for a hypothetical Artificial Intelligence system, incorporating governance, compliance, risk management, and ethical principles.